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\n  \n 2017\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Multi-Objective Genetic Programming for Feature Extraction and Data Visualization.\n \n \n \n \n\n\n \n Cano, A.; Ventura, S.; and Cios, K.\n\n\n \n\n\n\n Soft Computing, 21(8): 2069–2089. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-ObjectivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2017-SOCO-MOGPFEV,\r\n  Title                    = {Multi-Objective Genetic Programming for Feature Extraction and Data Visualization},\r\n  Author                   = {A. Cano and S. Ventura and K.J. Cios},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2017},\r\n  Number                   = {8},\r\n  Pages                    = {2069--2089},\r\n  Volume                   = {21},\r\n  DOI                      = {10.1007/s00500-015-1907-y},\r\n  Keywords                 = {Genetic Programming, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-015-1907-y}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evolutionary composition of QoS-aware web services: a many-objective perspective.\n \n \n \n \n\n\n \n Ramírez, A.; Parejo, J.; Romero, J. R.; Segura, S.; and Ruiz-Cortés, A.\n\n\n \n\n\n\n Expert Systems with Applications, 72: 357-370. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Ramirez-2017-ESWA,\r\n  Title                    = {Evolutionary composition of {QoS}-aware web services: a many-objective perspective},\r\n  Author                   = {Ramírez, A. and Parejo, J.A. and Romero, J. R. and Segura, S. and Ruiz-Cortés, A.},\r\n  Journal                  = {Expert Systems with Applications},\r\n  Year                     = {2017},\r\n  Pages                    = {357-370},\r\n  Volume                   = {72},\r\n  DOI                      = {10.1016/j.eswa.2016.10.047},\r\n  ISSN                     = {0957-4174},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1016/j.eswa.2016.10.047}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem.\n \n \n \n \n\n\n \n Rodriguez, F. J.; Glover, F.; García-Martínez, C.; Martí, R.; and Lozano, M.\n\n\n \n\n\n\n Computers & Operations Research, 78: 243–254. feb 2017.\n \n\n\n\n
\n\n\n\n \n \n \"GRASPPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Rodriguez-2017-COR,\r\n  Title                    = {{GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem}},\r\n  Author                   = {Rodriguez, Francisco J. and Glover, Fred and García-Martínez, C. and Mart{\\'{i}}, Rafael and Lozano, Manuel},\r\n  Journal                  = {Computers {\\&} Operations Research},\r\n  Year                     = {2017},\r\n  Month                    = {feb},\r\n  Pages                    = {243--254},\r\n  Volume                   = {78},\r\n  DOI                      = {10.1016/j.cor.2016.09.005},\r\n  ISSN                     = {03050548},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0305054816302209}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n On the need of opening the Big Data landscape to everyone: challenges and new trends.\n \n \n \n\n\n \n Salado-Cid, R.; Ramírez, A.; and Romero, J. R.\n\n\n \n\n\n\n In Linnhoff-Popien, C.; Schneider, R.; and Zaddach, M., editor(s), Digital marketplaces unleashed. Springer-Verlag, Tiergartenstr. 17, 69121 Heidelberg, Germany, 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InCollection{Salado-Cid-2017-DMU,\r\n  Title                    = {On the need of opening the Big Data landscape to everyone: challenges and new trends},\r\n  Author                   = {Salado-Cid, R. and Ram\\'irez, A. and Romero, J. R.},\r\n  Booktitle                = {Digital marketplaces unleashed},\r\n  Publisher                = {Springer-Verlag},\r\n  Year                     = {2017},\r\n  Address                  = {Tiergartenstr. 17, 69121 Heidelberg, Germany},\r\n  Editor                   = {Linnhoff-Popien, C. and Schneider, R. and Zaddach, M.},\r\n  ISBN                     = {978-36-6249-274-1},\r\n  Keywords                 = {Big Data Mining, Scientific workflows, Data Science}\r\n}\r\n\r\n
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\n  \n 2016\n \n \n (43)\n \n \n
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\n \n\n \n \n \n \n \n \n Optimización con 100 millones de variables reales sobre múltiples unidades de procesamiento gráfico.\n \n \n \n \n\n\n \n Cano, A.; and García-Martínez, C.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pages 377–386, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"OptimizaciónPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano2016,\r\n  Title                    = {{Optimizaci{\\'{o}}n con 100 millones de variables reales sobre m{\\'{u}}ltiples unidades de procesamiento gr{\\'{a}}fico}},\r\n  Author                   = {Cano, Alberto and García-Martínez, C.},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {377--386},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms,Scalability},\r\n  URL                      = {www.uco.es/{~}i52caroa/pdf/CAEPIA-2016.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n LAIM discretization for multi-label data.\n \n \n \n \n\n\n \n Cano, A.; Luna, J. M.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 330: 370–384. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"LAIMPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2016,\r\n  Title                    = {{LAIM} discretization for multi-label data},\r\n  Author                   = {A. Cano and J. M. Luna and E. Gibaja and S. Ventura},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2016},\r\n  Pages                    = {370--384},\r\n  Volume                   = {330},\r\n  DOI                      = {10.1016/j.ins.2015.10.032},\r\n  Keywords                 = {Multi-label Learning},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2015.10.032}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n ur-CAIM: improved CAIM discretization for unbalanced and balanced data.\n \n \n \n \n\n\n \n Cano, A.; Nguyen, D.; Ventura, S.; and Cios, K.\n\n\n \n\n\n\n Soft Computing, 20(1): 173-188. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ur-CAIM:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2016-SOCO,\r\n  Title                    = {ur-CAIM: improved CAIM discretization for unbalanced and balanced data},\r\n  Author                   = {Cano, A. and Nguyen, D.T. and Ventura, S. and Cios, K.J.},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2016},\r\n  Number                   = {1},\r\n  Pages                    = {173-188},\r\n  Volume                   = {20},\r\n  DOI                      = {10.1007/s00500-014-1488-1},\r\n  Keywords                 = {Supervised Learning, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-014-1488-1}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n 100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing.\n \n \n \n\n\n \n Cano, A.; and García-Martínez, C.\n\n\n \n\n\n\n In Proceedings of the IEEE World Congress on Computational Intelligence, of IEEE WCCI 2016, Vancouver, Canada, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-WCCI-2016,\r\n  Title                    = {100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing},\r\n  Author                   = {Cano, A. and García-Martínez, C.},\r\n  Booktitle                = {Proceedings of the IEEE World Congress on Computational Intelligence},\r\n  Year                     = {2016},\r\n  Address                  = {Vancouver, Canada},\r\n  Series                   = {IEEE WCCI 2016},\r\n  Keywords                 = {GP-GPU, Scalability}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Early dropout prediction using data mining: a case study with high school students.\n \n \n \n \n\n\n \n Márquez-Vera, C.; Cano, A.; Romero, C.; Noaman, A. Y.; Fardoun, H. M.; and Ventura, S.\n\n\n \n\n\n\n Expert Systems, 33(1): 107–124. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"EarlyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/es/Marquez-Vera0RN16,\r\n  Title                    = {Early dropout prediction using data mining: a case study with high school students},\r\n  Author                   = {Carlos M{\\'{a}}rquez{-}Vera and A. Cano and C. Romero and Amin Y. Noaman and Habib M. Fardoun and S. Ventura},\r\n  Journal                  = {Expert Systems},\r\n  Year                     = {2016},\r\n  Number                   = {1},\r\n  Pages                    = {107--124},\r\n  Volume                   = {33},\r\n  DOI                      = {10.1111/exsy.12135},\r\n  Keywords                 = {Educational Data Mining, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1111/exsy.12135}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews.\n \n \n \n \n\n\n \n Delgado-Osuna, J. a.; Lozano, M.; and García-Martínez, C.\n\n\n \n\n\n\n Information Sciences, 326: 215–226. jan 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Delgado-Osuna2016,\r\n  Title                    = {{An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews}},\r\n  Author                   = {Delgado-Osuna, Jos{\\'{e}} a. and Lozano, Manuel and García-Martínez, C.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2016},\r\n  Month                    = {jan},\r\n  Pages                    = {215--226},\r\n  Volume                   = {326},\r\n  DOI                      = {10.1016/j.ins.2015.07.051},\r\n  ISSN                     = {00200255},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0020025515005599}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos.\n \n \n \n \n\n\n \n Fuentes-Alventosa, J.; Romero, C.; García-Martínez, C.; and Ventura, S.\n\n\n \n\n\n\n In Actas de las XXII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2016), pages 201–208, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"PredicciónPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Fuentes-Alventosa2016,\r\n  Title                    = {{Predicci{\\'{o}}n de la aceptaci{\\'{o}}n o rechazo de las calificaciones finales propuestas por el alumnado usando t{\\'{e}}cnicas de Miner{\\'{i}}a de Datos}},\r\n  Author                   = {Fuentes-Alventosa, Javier and Romero, Crist{\\'{o}}bal and García-Martínez, C. and Ventura, Sebasti{\\'{a}}n},\r\n  Booktitle                = {Actas de las XXII Jornadas sobre la Ense{\\~{n}}anza Universitaria de la Inform{\\'{a}}tica (JENUI 2016)},\r\n  Year                     = {2016},\r\n  Pages                    = {201--208},\r\n  ISBN                     = {9788416642304},\r\n  Keywords                 = {Supervised Learning,Classification,Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://www.aenui.net/ojs/index.php?journal=actas{\\_}jenui{\\&}page=article{\\&}op=view{\\&}path{\\%}5B{\\%}5D=252}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An ensemble-based approach for multi-view multi-label classification.\n \n \n \n \n\n\n \n Gibaja, E.; Moyano, J. M.; and Ventura, S.\n\n\n \n\n\n\n Progress in Artificial Intelligence, 5(4): 251–259. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Gibaja-2016-PRAI,\r\n  Title                    = {An ensemble-based approach for multi-view multi-label classification},\r\n  Author                   = {E. Gibaja and J. M. Moyano and S. Ventura},\r\n  Journal                  = {Progress in Artificial Intelligence},\r\n  Year                     = {2016},\r\n  Number                   = {4},\r\n  Pages                    = {251--259},\r\n  Volume                   = {5},\r\n  DOI                      = {10.1007/s13748-016-0098-9},\r\n  ISSN                     = {2192-6360},\r\n  Keywords                 = {Multi-label Learning, Multi-view Learning, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/s13748-016-0098-9}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming.\n \n \n \n \n\n\n \n Guerrero-Enamorado, A.; Morell, C.; Noaman, A.; and Ventura, S.\n\n\n \n\n\n\n International Journal of Computational Intelligence Systems, 9(2): 263-280. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{Guerrero-Enamorado-2016-IJCIS,\r\n  Title                    = {{An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming}},\r\n  Author                   = {Guerrero-Enamorado, A. and Morell, C. and Noaman, A.Y. and Ventura, S.},\r\n  Journal                  = {International Journal of Computational Intelligence Systems},\r\n  Year                     = {2016},\r\n  Number                   = {2},\r\n  Pages                    = {263-280},\r\n  Volume                   = {9},\r\n  DOI                      = {10.1080/18756891.2016.1150000},\r\n  URL                      = {http://dx.doi.org/10.1109/10.1080/18756891.2016.1150000}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multiple instance learning: Foundations and algorithms.\n \n \n \n \n\n\n \n Herrera, F.; Ventura, S.; Bello, R.; Cornelis, C.; Zafra, A.; Sánchez-Tarragó, D.; and Vluymans, S.\n\n\n \n\n\n\n 2016.\n \n\n\n\n
\n\n\n\n \n \n \"MultiplePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Book{Herrera-2016-MIL,\r\n  Title                    = {Multiple instance learning: Foundations and algorithms},\r\n  Author                   = {Herrera, F. and Ventura, S. and Bello, R. and Cornelis, C. and Zafra, A. and Sánchez-Tarragó, D. and Vluymans, S.},\r\n  Year                     = {2016},\r\n  DOI                      = {10.1007/978-3-319-47759-6},\r\n  Journal                  = {Multiple Instance Learning: Foundations and Algorithms},\r\n  Pages                    = {1-233},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-47759-6}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Randomized greedy multi-start algorithm for the minimum common integer partition problem.\n \n \n \n \n\n\n \n Lozano, M.; Rodriguez, F. J.; Peralta, D.; and García-Martínez, C.\n\n\n \n\n\n\n Engineering Applications of Artificial Intelligence, 50: 226–235. apr 2016.\n \n\n\n\n
\n\n\n\n \n \n \"RandomizedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2016,\r\n  Title                    = {{Randomized greedy multi-start algorithm for the minimum common integer partition problem}},\r\n  Author                   = {Lozano, Manuel and Rodriguez, Francisco J. and Peralta, Daniel and García-Martínez, C.},\r\n  Journal                  = {Engineering Applications of Artificial Intelligence},\r\n  Year                     = {2016},\r\n  Month                    = {apr},\r\n  Pages                    = {226--235},\r\n  Volume                   = {50},\r\n  Abstract                 = {In this paper, we propose a randomized greedy multi-start algorithm for the minimum common integer partition problem. Given k multisets S1,{\\ldots},Sk of positive integers (Si={\\{}si1,{\\ldots},sij,{\\ldots},simi{\\}}), the goal is to find the common integer partition T with minimal cardinality, i.e., a unique and reduced multiset T that, for each Si, it can be partitioned into mi multisets Tj so that the elements in Tj sum to sij. This mathematical problem is reported to appear in computational molecular biology, when assigning orthologs on a genome scale or assembling DNA fingerprints in particular. Our proposed metaheuristic approach constitutes the construction of multiple solutions by a new greedy method that embeds a diversification agent to allow diverse and promising solutions to be reached. Furthermore, we formulate an integer programming model for this problem and show that the CPLEX solver can only solve small instances of the problem. However, computational results for problem instances involving up to 1000 multisets (each one with up to 1000 elements) show that our innovative metaheuristic produces very good feasible solutions in reasonable computing times, arising as a very attractive alternative to the existing approaches.},\r\n  DOI                      = {10.1016/j.engappai.2016.01.037},\r\n  ISSN                     = {09521976},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0952197616000415}\r\n}\r\n\r\n
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\n In this paper, we propose a randomized greedy multi-start algorithm for the minimum common integer partition problem. Given k multisets S1,…,Sk of positive integers (Si=\\si1,…,sij,…,simi\\), the goal is to find the common integer partition T with minimal cardinality, i.e., a unique and reduced multiset T that, for each Si, it can be partitioned into mi multisets Tj so that the elements in Tj sum to sij. This mathematical problem is reported to appear in computational molecular biology, when assigning orthologs on a genome scale or assembling DNA fingerprints in particular. Our proposed metaheuristic approach constitutes the construction of multiple solutions by a new greedy method that embeds a diversification agent to allow diverse and promising solutions to be reached. Furthermore, we formulate an integer programming model for this problem and show that the CPLEX solver can only solve small instances of the problem. However, computational results for problem instances involving up to 1000 multisets (each one with up to 1000 elements) show that our innovative metaheuristic produces very good feasible solutions in reasonable computing times, arising as a very attractive alternative to the existing approaches.\n
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\n \n\n \n \n \n \n \n \n A genetic algorithm for the minimum generating set problem.\n \n \n \n \n\n\n \n Lozano, M.; Laguna, M.; Martí, R.; Rodríguez, F. J.; and García-Martínez, C.\n\n\n \n\n\n\n Applied Soft Computing, 48: 254–264. nov 2016.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2016a,\r\n  Title                    = {{A genetic algorithm for the minimum generating set problem}},\r\n  Author                   = {Lozano, Manuel and Laguna, Manuel and Mart{\\'{i}}, Rafael and Rodr{\\'{i}}guez, Francisco J. and García-Martínez, C.},\r\n  Journal                  = {Applied Soft Computing},\r\n  Year                     = {2016},\r\n  Month                    = {nov},\r\n  Pages                    = {254--264},\r\n  Volume                   = {48},\r\n  Abstract                 = {Given a set of positive integers S, the minimum generating set problem consists in finding a set of positive integers T with a minimum cardinality such that every element of S can be expressed as the sum of a subset of elements in T. It constitutes a natural problem in combinatorial number theory and is related to some real-world problems, such as planning radiation therapies. We present a new formulation to this problem (based on the terminology for the multiple knapsack problem) that is used to design an evolutionary approach whose performance is driven by three search strategies; a novel random greedy heuristic scheme that is employed to construct initial solutions, a specialized crossover operator inspired by real-parameter crossovers and a restart mechanism that is incorporated to avoid premature convergence. Computational results for problem instances involving up to 100,000 elements show that our innovative genetic algorithm is a very attractive alternative to the existing approaches.},\r\n  DOI                      = {10.1016/j.asoc.2016.07.020},\r\n  ISSN                     = {15684946},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S1568494616303465}\r\n}\r\n\r\n
\n
\n\n\n
\n Given a set of positive integers S, the minimum generating set problem consists in finding a set of positive integers T with a minimum cardinality such that every element of S can be expressed as the sum of a subset of elements in T. It constitutes a natural problem in combinatorial number theory and is related to some real-world problems, such as planning radiation therapies. We present a new formulation to this problem (based on the terminology for the multiple knapsack problem) that is used to design an evolutionary approach whose performance is driven by three search strategies; a novel random greedy heuristic scheme that is employed to construct initial solutions, a specialized crossover operator inspired by real-parameter crossovers and a restart mechanism that is incorporated to avoid premature convergence. Computational results for problem instances involving up to 100,000 elements show that our innovative genetic algorithm is a very attractive alternative to the existing approaches.\n
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\n \n\n \n \n \n \n \n \n Optimizing Network Attacks by Artificial Bee Colony.\n \n \n \n \n\n\n \n Lozano, M.; García-Martínez, C.; Rodríguez, F. J.; and Trujillo, H. M.\n\n\n \n\n\n\n Information Sciences, 377: 30–50. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OptimizingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2016b,\r\n  Title                    = {{Optimizing Network Attacks by Artificial Bee Colony}},\r\n  Author                   = {Lozano, Manuel and García-Martínez, C. and Rodr{\\'{i}}guez, Francisco J. and Trujillo, Humberto M.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2016},\r\n  Pages                    = {30--50},\r\n  Volume                   = {377},\r\n  DOI                      = {10.1016/j.ins.2016.10.014},\r\n  ISSN                     = {00200255},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  Publisher                = {Elsevier Inc.},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0020025516312075}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales.\n \n \n \n\n\n \n Lozano, M.; García-Martínez, C.; Rodríguez, F. J.; and Trujillo, H. M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pages 103–112, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Lozano2016c,\r\n  Title                    = {{Optimizaci{\\'{o}}n de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales}},\r\n  Author                   = {Lozano, Manuel and García-Martínez, C. and Rodr{\\'{i}}guez, Francisco J. and Trujillo, Humberto M.},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {103--112},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Minería de reglas de asociación excepcionales extraidas con algoritmos evolutivos.\n \n \n \n\n\n \n Luna, J. M.; Padillo, F.; and Ventura, S.\n\n\n \n\n\n\n In XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pages 127-136, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna:MAEB16:16,\r\n  Title                    = {Miner\\'ia de reglas de asociaci\\'on excepcionales extraidas con algoritmos evolutivos},\r\n  Author                   = { Luna, J. M. and Padillo, F. and Ventura, S.},\r\n  Booktitle                = {{XI} Congreso Espa\\~nol sobre Metaheur\\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {127-136},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Discovering useful patterns from multiple instance data.\n \n \n \n \n\n\n \n Luna, J. M.; Cano, A.; Sakalauskas, V.; and Ventura, S.\n\n\n \n\n\n\n Information Science, 357: 23–38. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"DiscoveringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna0SV16,\r\n  Title                    = {Discovering useful patterns from multiple instance data},\r\n  Author                   = {J. M. Luna and A. Cano and V. Sakalauskas and S. Ventura},\r\n  Journal                  = {Information Science},\r\n  Year                     = {2016},\r\n  Pages                    = {23--38},\r\n  Volume                   = {357},\r\n  DOI                      = {10.1016/j.ins.2016.04.007},\r\n  Keywords                 = {Pattern Mining, Multi-instance Learning, Association Rule Mining, Unsupervised Learning, Unsupervised Learning},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2016.04.007}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Pattern mining: current status and emerging topics.\n \n \n \n \n\n\n \n Luna, J. M.\n\n\n \n\n\n\n Progress in Artificial Intelligence, 5(3): 165–170. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"PatternPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{LunaPRAI16,\r\n  Title                    = {Pattern mining: current status and emerging topics},\r\n  Author                   = {J. M. Luna},\r\n  Journal                  = {Progress in Artificial Intelligence},\r\n  Year                     = {2016},\r\n  Number                   = {3},\r\n  Pages                    = {165--170},\r\n  Volume                   = {5},\r\n  DOI                      = {10.1007/s13748-016-0090-4},\r\n  Keywords                 = {Pattern Mining, Unsupervised Learning},\r\n  URL                      = {http://dx.doi.org/10.1007/s13748-016-0090-4}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Mining exceptional relationships with grammar-guided genetic programming.\n \n \n \n \n\n\n \n Luna, J. M.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n Knowledge and Information Systems, 47(3): 571–594. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"MiningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{LunaPV16,\r\n  Title                    = {Mining exceptional relationships with grammar-guided genetic programming},\r\n  Author                   = {J. M. Luna and M. Pechenizkiy and S. Ventura},\r\n  Journal                  = {Knowledge and Information Systems},\r\n  Year                     = {2016},\r\n  Number                   = {3},\r\n  Pages                    = {571--594},\r\n  Volume                   = {47},\r\n  DOI                      = {10.1007/s10115-015-0859-y},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s10115-015-0859-y}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Speeding-Up Association Rule Mining With Inverted Index Compression.\n \n \n \n \n\n\n \n Luna, J. M.; Cano, A.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n IEEE Transactions on Cybernetics, Online first(-): -. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"Speeding-UpPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{LunaSpeedingUp,\r\n  Title                    = {Speeding-Up Association Rule Mining With Inverted Index Compression},\r\n  Author                   = {J. M. Luna and A. Cano and M. Pechenizkiy and S. Ventura},\r\n  Journal                  = {{IEEE} Transactions on Cybernetics},\r\n  Year                     = {2016},\r\n  Number                   = {-},\r\n  Pages                    = {-},\r\n  Volume                   = {Online first},\r\n  DOI                      = {10.1109/TCYB.2015.2496175},\r\n  Keywords                 = {Pattern Mining, Big Data Mining, Association Rule Mining, Unsupervised Learning},\r\n  URL                      = {http://dx.doi.org/ 10.1109/TCYB.2015.2496175}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n RKEEL: Using KEEL in R Code.\n \n \n \n \n\n\n \n Moyano, J. M.; and Sánchez, L.\n\n\n \n\n\n\n In 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, Vancouver, Canada, July 24-29, 2016, pages 257–264, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"RKEEL:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Moyano2016a_WCCI,\r\n  Title                    = {RKEEL: Using KEEL in R Code},\r\n  Author                   = {J. M. Moyano and L. S{\\'{a}}nchez},\r\n  Booktitle                = {2016 {IEEE} International Conference on Fuzzy Systems, {FUZZ-IEEE} 2016, Vancouver, Canada, July 24-29, 2016},\r\n  Year                     = {2016},\r\n  Pages                    = {257--264},\r\n  Keywords                 = {Software Design \\& Development},\r\n  URL                      = {http://www.uco.es/~i02momuj/pdf/wcci16.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Una herramienta para analizar conjuntos de datos multi-etiqueta.\n \n \n \n \n\n\n \n Moyano, J. M.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n In XVII Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA '16, pages 857–866, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"UnaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Moyano2016b_CAEPIA,\r\n  Title                    = {Una herramienta para analizar conjuntos de datos multi-etiqueta},\r\n  Author                   = {J. M. Moyano and E. Gibaja and S. Ventura},\r\n  Booktitle                = {XVII Conferencia de la Asociaci{\\'{o}}n Espa\\~{n}ola para la Inteligencia Artificial, CAEPIA '16},\r\n  Year                     = {2016},\r\n  Pages                    = {857--866},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Multi-label Learning, Multi-view Learning, Feature Selection, Instance Selection, Data Preprocessing, Software Design \\& Development},\r\n  URL                      = {http://www.uco.es/~i02momuj/pdf/caepia16.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n MLDA: A tool for analyzing multi-label datasets.\n \n \n \n \n\n\n \n Moyano, J.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n Knowledge-Based Systems. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"MLDA:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{Moyano-2016-KBS,\r\n  Title                    = {{MLDA}: A tool for analyzing multi-label datasets},\r\n  Author                   = {Moyano, J.M. and Gibaja, E.L. and Ventura, S.},\r\n  Journal                  = {Knowledge-Based Systems},\r\n  Year                     = {2016},\r\n  DOI                      = {10.1016/j.knosys.2017.01.018},\r\n  URL                      = {http://dx.doi.org/10.1007/10.1016/j.knosys.2017.01.018}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Recommending degree studies according to students attitudes in high school by means of subgroup discovery.\n \n \n \n \n\n\n \n Noaman, A.; Luna, J.; Ragab, A.; and Ventura, S.\n\n\n \n\n\n\n International Journal of Computational Intelligence Systems, 9(6): 1101-1117. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"RecommendingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@Article{Noaman-2016-IJCIS,\r\n  Title                    = {Recommending degree studies according to students attitudes in high school by means of subgroup discovery},\r\n  Author                   = {Noaman, A.Y. and Luna, J.M. and Ragab, A.H.M. and Ventura, S.},\r\n  Journal                  = {International Journal of Computational Intelligence Systems},\r\n  Year                     = {2016},\r\n  Number                   = {6},\r\n  Pages                    = {1101-1117},\r\n  Volume                   = {9},\r\n  DOI                      = {10.1080/18756891.2016.1256573},\r\n  URL                      = {http://dx.doi.org/10.1080/18756891.2016.1256573}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce.\n \n \n \n \n\n\n \n Padillo, F.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, pages 1684–1691, Tianjin, China, Aug 2016. \n \n\n\n\n
\n\n\n\n \n \n \"SubgroupPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Padillo:BigDataSE16:16,\r\n  Title                    = {Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce},\r\n  Author                   = {Padillo, F. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 2016 {IEEE} Trustcom/BigDataSE/ISPA},\r\n  Year                     = {2016},\r\n  Address                  = {Tianjin, China},\r\n  Month                    = {Aug},\r\n  Pages                    = {1684--1691},\r\n  DOI                      = {10.1109/TrustCom/BigDataSE/ISPA.2016.256},\r\n  Keywords                 = {Spark, Subgroup Discovery, Scalability, Pattern Mining, Big Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1109/TrustCom/BigDataSE/ISPA.2016.256}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets.\n \n \n \n \n\n\n \n Padillo, F.; Luna, J. M.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 11th International Conference on Hybrid Artificial Intelligence Systems, of HAIS 2016, pages 365-376, Seville, Spain, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Padillo:HAIS16:2016,\r\n  Title                    = {A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets},\r\n  Author                   = {Padillo, F. and Luna, J. M. and Cano, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 11th International Conference on Hybrid Artificial Intelligence Systems},\r\n  Year                     = {2016},\r\n  Address                  = {Seville, Spain},\r\n  Pages                    = {365-376},\r\n  Series                   = {HAIS 2016},\r\n  DOI                      = {10.1007/978-3-319-32034-2_31},\r\n  Keywords                 = {Big Data Mining, Scalability},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-32034-2_31}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Algoritmo de programación genética gramatical para la extracción de reglas de asociación en Big Data usando el paradigma MapReduce.\n \n \n \n\n\n \n Padillo, F.; Luna, J. M.; Ventura, S.; and Herrera, F.\n\n\n \n\n\n\n In XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pages 137-148, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Padillo:MAEB16:16,\r\n  Title                    = {Algoritmo de programaci\\'on gen\\'etica gramatical para la extracci\\'on de reglas de asociaci\\'on en {B}ig {D}ata usando el paradigma {M}ap{R}educe},\r\n  Author                   = {Padillo, F. and Luna, J. M. and Ventura, S. and Herrera, F.},\r\n  Booktitle                = {{XI} Congreso Espa\\~nol sobre Metaheur\\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {137-148},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Pattern Mining, Big Data Mining, Scalability, Unsupervised Learning, Association Rule Mining, Spark, Hadoop, Evolutionary Algorithms, Grammar-Based Genetic Programming}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Búsquedas exhaustivas de subgrupos con MapReduce en Big Data.\n \n \n \n\n\n \n Padillo, F.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pages 779-788, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Padillo:TAMIDA16_SD:16,\r\n  Title                    = {B\\'usquedas exhaustivas de subgrupos con {M}ap{R}educe en {B}ig {D}ata},\r\n  Author                   = {Padillo, F. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {{VIII} Simposio {T}eor\\'ia y {A}plicaciones de Miner\\'ia de Datos ({TAMIDA}'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {779-788},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Pattern Mining, Big Data Mining, Scalability, Spark}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Minería de patrones en Big Data.\n \n \n \n\n\n \n Padillo, F.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pages 769-778, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Padillo:TAMIDA16:16,\r\n  Title                    = {Miner\\'ia de patrones en {B}ig {D}ata},\r\n  Author                   = {Padillo, F. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {{VIII} Simposio {T}eor\\'ia y {A}plicaciones de Miner\\'ia de Datos ({TAMIDA}'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {769-778},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Pattern Mining, Big Data Mining, Scalability, Unsupervised Learning, Association Rule Mining, Hadoop}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A comparative study of many-objective evolutionary algorithms for the discovery of software architectures.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Empirical Software Engineering, 21: 2546–2600. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Ramirez-2016-EMSE,\r\n  Title                    = {A comparative study of many-objective evolutionary algorithms for the discovery of software architectures},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Empirical Software Engineering},\r\n  Year                     = {2016},\r\n  Pages                    = {2546--2600},\r\n  Volume                   = {21},\r\n  DOI                      = {10.1007/s10664-015-9399-z},\r\n  ISSN                     = {1573-7616},\r\n  Issue                    = {6},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s10664-015-9399-z}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Memetic Algorithms for the Automatic Discovery of Software Architectures.\n \n \n \n \n\n\n \n Ramírez, A.; Barbudo, R.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In 16th International Conference on Intelligent Systems Design and Applications (ISDA'16), 2016. \n \n\n\n\n
\n\n\n\n \n \n \"MemeticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2016-ISDA,\r\n  Title                    = {{Memetic Algorithms for the Automatic Discovery of Software Architectures}},\r\n  Author                   = {Ramírez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {16th International Conference on Intelligent Systems Design and Applications (ISDA'16)},\r\n  Year                     = {2016},\r\n  DOI                      = {10.1007/978-3-319-53480-0_43},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-53480-0_43}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Estudio de mecanismos de hibridación para el descubrimiento evolutivo de arquitecturas.\n \n \n \n \n\n\n \n Ramírez, A.; Molina, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pages 481-494, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"EstudioPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2016-JISBD-1,\r\n  Title                    = {Estudio de mecanismos de hibridaci\\'on para el descubrimiento evolutivo de arquitecturas},\r\n  Author                   = {Ramírez, A. and Molina, J.A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {481-494},\r\n  ISBN                     = {978-84-9012-627-1},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://hdl.handle.net/11705/JISBD/2016/043}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Configuración guiada por búsqueda de aplicaciones basadas en microservicios en la nube.\n \n \n \n \n\n\n \n Parejo, J.; Ramírez, A.; Romero, J. R.; Segura, S.; and Ruiz-Cortés, A.\n\n\n \n\n\n\n In XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pages 499-502, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"ConfiguraciónPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2016-JISBD-2,\r\n  Title                    = {Configuraci\\'on guiada por b\\'usqueda de aplicaciones basadas en microservicios en la nube},\r\n  Author                   = {Parejo, J.A. and Ramírez, A. and Romero, J. R. and Segura, S. and Ruiz-Cortés, A.},\r\n  Booktitle                = {XXI Jornadas en Ingenier\\'ia del Software y Bases de Datos (JISBD'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {499-502},\r\n  ISBN                     = {978-84-9012-627-1},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization},\r\n  URL                      = {http://hdl.handle.net/11705/JISBD/2016/045}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Herramienta basada en computación evolutiva interactiva para arquitectos software.\n \n \n \n\n\n \n Ramírez, A.; Barbudo, R.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pages 387-396, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2016-MAEB,\r\n  Title                    = {Herramienta basada en computaci\\'on evolutiva interactiva para arquitectos software},\r\n  Author                   = {Ramírez, A. and Barbudo, R. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {XI Congreso Espa\\~nol sobre Metaheur\\'isticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {387-396},\r\n  ISBN                     = {978-84-9012-632-5},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms, Software Design \\& Development}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Effective lazy learning algorithm based on a data gravitation model for multi-label learning.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 340(341): 159-174. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"EffectivePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{reyes2016effective,\r\n  Title                    = {Effective lazy learning algorithm based on a data gravitation model for multi-label learning},\r\n  Author                   = {Reyes, O. and Morell, Carlos and Ventura, S.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2016},\r\n  Number                   = {341},\r\n  Pages                    = {159-174},\r\n  Volume                   = {340},\r\n  Keywords                 = {Multi-label Learning,Supervised Learning},\r\n  Publisher                = {Elsevier},\r\n  URL                      = {http://www.sciencedirect.com/science/article/pii/S0020025516000086}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n JCLAL: a Java framework for active learning.\n \n \n \n \n\n\n \n Reyes, O.; Pérez, E.; Rodríguez-Hernández, María, d. C.; Fardoun, H. M.; and Ventura, S.\n\n\n \n\n\n\n Journal of Machine Learning Research, 17(95): 1-5. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"JCLAL:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{reyes2016jclal,\r\n  Title                    = {JCLAL: a Java framework for active learning},\r\n  Author                   = {Reyes, O. and P{\\'e}rez, Eduardo and del Carmen Rodr{\\'i}guez-Hern{\\'a}ndez, Mar{\\'i}a and Fardoun, Habib M. and Ventura, S.},\r\n  Journal                  = {Journal of Machine Learning Research},\r\n  Year                     = {2016},\r\n  Number                   = {95},\r\n  Pages                    = {1-5},\r\n  Volume                   = {17},\r\n  Keywords                 = {Active Learning,Software Design \\& Development},\r\n  URL                      = {http://jmlr.org/papers/v17/15-347.html}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Estrategia efectiva para el aprendizaje activo multi-etiqueta.\n \n \n \n\n\n \n Reyes, O.; and Ventura, S.\n\n\n \n\n\n\n In XVII Conferencia de la Asociación Española para la Inteligencia Artificial, pages 835-844, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{reyesMLAL,\r\n  Title                    = {Estrategia efectiva para el aprendizaje activo multi-etiqueta},\r\n  Author                   = {Reyes, O. and Ventura, S.},\r\n  Booktitle                = {XVII Conferencia de la Asociación Española para la Inteligencia Artificial},\r\n  Year                     = {2016},\r\n  Pages                    = {835-844},\r\n  Keywords                 = {Multi-label Learning,Active Learning}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Educational process mining: A tutorial and case study using moodle data sets.\n \n \n \n \n\n\n \n Romero, C.; Cerezo, R.; Bogarín, A.; and Sánchez-Santillán, M.\n\n\n \n\n\n\n In pages 1-28. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"EducationalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@InCollection{Romero-2016-DMLA,\r\n  Title                    = {Educational process mining: A tutorial and case study using moodle data sets},\r\n  Author                   = {Romero, C. and Cerezo, R. and Bogarín, A. and Sánchez-Santillán, M.},\r\n  Year                     = {2016},\r\n  Pages                    = {1-28},\r\n  DOI                      = {10.1002/9781118998205.ch1},\r\n  Journal                  = {Data Mining And Learning Analytics: Applications in Educational Research},\r\n  URL                      = {http://dx.doi.org/10.1016/10.1002/9781118998205.ch1}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Using Android Wear for Avoiding Procrastination Behaviours in MOOCs.\n \n \n \n \n\n\n \n Romero, C.; Cerezo, R.; Espino, J. A.; and Bermudez, M.\n\n\n \n\n\n\n In Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016, pages 193–196, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Romero-2016-LS,\r\n  Title                    = {Using Android Wear for Avoiding Procrastination Behaviours in MOOCs},\r\n  Author                   = {C. Romero and Rebeca Cerezo and Jose Antonio Espino and Manuel Bermudez},\r\n  Booktitle                = {Proceedings of the Third {ACM} Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016},\r\n  Year                     = {2016},\r\n  Pages                    = {193--196},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/conf/lats/RomeroCEB16},\r\n  DOI                      = {10.1145/2876034.2893412},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  Timestamp                = {Mon, 09 May 2016 17:18:48 +0200},\r\n  URL                      = {http://doi.acm.org/10.1145/2876034.2893412}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Enabling the definition and reuse of multi-domain workflow-based data analysis.\n \n \n \n\n\n \n Salado-Cid, R.; and Romero, J. R.\n\n\n \n\n\n\n In 16th International Conference on Intelligent Systems Design and Applications (ISDA'16), 2016. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Salado-Cid2016-ISDA,\r\n  Title                    = {Enabling the definition and reuse of multi-domain workflow-based data analysis},\r\n  Author                   = {Salado-Cid, R. and Romero, J. R.},\r\n  Booktitle                = {16th International Conference on Intelligent Systems Design and Applications (ISDA'16)},\r\n  Year                     = {2016},\r\n  Keywords                 = {Scientific workflows, Data Science}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Lenguaje específico para el modelado de flujos de trabajo aplicados a ciencia de datos.\n \n \n \n \n\n\n \n Salado-Cid, R.; and Romero, J. R.\n\n\n \n\n\n\n In XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pages 227-240, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"LenguajePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Salado-Cid2016-JISBD,\r\n  Title                    = {Lenguaje espec\\'ifico para el modelado de flujos de trabajo aplicados a ciencia de datos},\r\n  Author                   = {Salado-Cid, R. and Romero, J. R.},\r\n  Booktitle                = {XXI Jornadas en Ingenier\\'ia del Software y Bases de Datos (JISBD'16)},\r\n  Year                     = {2016},\r\n  Pages                    = {227-240},\r\n  ISBN                     = {978-84-9012-627-1},\r\n  Keywords                 = {Scientific workflows, Data Science},\r\n  URL                      = {http://congresocedi.es/actas/downloads/LIBRO7-JISBD.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Pattern Mining with Evolutionary Algorithms.\n \n \n \n \n\n\n \n Ventura, S.; and Luna, J. M.\n\n\n \n\n\n\n Springer, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"PatternPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Book{VenturaL16,\r\n  Title                    = {Pattern Mining with Evolutionary Algorithms},\r\n  Author                   = {S. Ventura and J. M. Luna},\r\n  Publisher                = {Springer},\r\n  Year                     = {2016},\r\n  DOI                      = {10.1007/978-3-319-33858-3},\r\n  ISBN                     = {978-3-319-33857-6},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Evolutionary Algorithms, Subgroup Discovery, Unsupervised Learning, Multi-objective Optimization, Bioinspired algorithms, Genetic Algorithms, Ant Programming, Unsupervised Learning},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-33858-3}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Big Data on Real-World Applications.\n \n \n \n \n\n\n \n Ventura, S.; Luna, J. M.; and Cano, A.\n\n\n \n\n\n\n InTech, 1st edition, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"BigPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Book{VenturaLC16,\r\n  Title                    = {Big Data on Real-World Applications},\r\n  Author                   = {Ventura, S. and Luna, J. M. and Cano, A.},\r\n  Publisher                = {InTech},\r\n  Year                     = {2016},\r\n  Edition                  = {1st},\r\n  DOI                      = {10.5772/61396},\r\n  ISBN                     = {978-953-51-2490-0},\r\n  Keywords                 = {Big Data Mining},\r\n  URL                      = {http://www.intechopen.com/books/big-data-on-real-world-applications}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs.\n \n \n \n \n\n\n \n Gonzalez, A. Z.; Menéndez, V. H.; Romero, C.; and Méndez, M. E. P.\n\n\n \n\n\n\n In Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016, pages 656–657, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"Meta-learningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zapata-2016-EDM,\r\n  Title                    = {Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs},\r\n  Author                   = {Alfredo Zapata Gonzalez and V{\\'{\\i}}ctor H. Men{\\'{e}}ndez and C. Romero and Manuel Emilio Prieto M{\\'{e}}ndez},\r\n  Booktitle                = {Proceedings of the 9th International Conference on Educational Data Mining, {EDM} 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016},\r\n  Year                     = {2016},\r\n  Pages                    = {656--657},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/conf/edm/GonzalezMRM16},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  Timestamp                = {Tue, 09 Aug 2016 14:14:03 +0200},\r\n  URL                      = {http://www.educationaldatamining.org/EDM2016/proceedings/paper_9.pdf}\r\n}\r\n\r\n
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\n  \n 2015\n \n \n (31)\n \n \n
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\n \n\n \n \n \n \n \n \n Speeding up multiple instance learning classification rules on GPUs.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Knowledge and Information Systems, 44(1): 127–145. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"SpeedingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2015-KAIS,\r\n  Title                    = {Speeding up multiple instance learning classification rules on GPUs},\r\n  Author                   = {A. Cano and A. Zafra and S. Ventura},\r\n  Journal                  = {Knowledge and Information Systems},\r\n  Year                     = {2015},\r\n  Number                   = {1},\r\n  Pages                    = {127--145},\r\n  Volume                   = {44},\r\n  DOI                      = {10.1007/s10115-014-0752-0},\r\n  Keywords                 = {Multi-instance Learning, GP-GPU},\r\n  URL                      = {http://dx.doi.org/10.1007/s10115-014-0752-0}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A Tutorial on Multilabel Learning.\n \n \n \n \n\n\n \n Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n ACM Comput. Surv., 47(3): 52. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@Article{DBLP:journals/csur/GibajaV15,\r\n  Title                    = {A Tutorial on Multilabel Learning},\r\n  Author                   = {E. Gibaja and S. Ventura},\r\n  Journal                  = {{ACM} Comput. Surv.},\r\n  Year                     = {2015},\r\n  Number                   = {3},\r\n  Pages                    = {52},\r\n  Volume                   = {47},\r\n  DOI                      = {10.1145/2716262},\r\n  Keywords                 = {Multi-label Learning, Classification},\r\n  Timestamp                = {Sat, 25 Jul 2015 13:31:33 +0200},\r\n  URL                      = {http://doi.acm.org/10.1145/2716262}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Recommender systems in social and online learning environments.\n \n \n \n \n\n\n \n Tang, T. Y.; Daniel, B. K.; and Romero, C.\n\n\n \n\n\n\n Expert Systems, 32(2): 261–263. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"RecommenderPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/es/TangDR15,\r\n  Title                    = {Recommender systems in social and online learning environments},\r\n  Author                   = {Tiffany Ya Tang and Ben K. Daniel and C. Romero},\r\n  Journal                  = {Expert Systems},\r\n  Year                     = {2015},\r\n  Number                   = {2},\r\n  Pages                    = {261--263},\r\n  Volume                   = {32},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/journals/es/TangDR15},\r\n  DOI                      = {10.1111/exsy.12058},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  Timestamp                = {Mon, 27 Apr 2015 15:19:10 +0200},\r\n  URL                      = {http://dx.doi.org/10.1111/exsy.12058}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evaluation and selection of group recommendation strategies for collaborative searching of learning objects.\n \n \n \n \n\n\n \n Zapata, A.; Menéndez, V. H.; Prieto, M. E.; and Romero, C.\n\n\n \n\n\n\n Int. J. Hum.-Comput. Stud., 76: 22–39. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/iJ.,\r\n  Title                    = {Evaluation and selection of group recommendation strategies for collaborative searching of learning objects},\r\n  Author                   = {Alfredo Zapata and V{\\'{\\i}}ctor H. Men{\\'{e}}ndez and Manuel E. Prieto and C. Romero},\r\n  Journal                  = {Int. J. Hum.-Comput. Stud.},\r\n  Year                     = {2015},\r\n  Pages                    = {22--39},\r\n  Volume                   = {76},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/journals/iJ. M./ZapataMPR15},\r\n  DOI                      = {10.1016/j.ijhcs.2014.12.002},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  Timestamp                = {Thu, 26 Mar 2015 12:50:29 +0100},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ijhcs.2014.12.002}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets.\n \n \n \n \n\n\n \n Olmo, J. L.; Romero, C.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n Int. J. Computational Intelligence Systems, 8(6): 1144–1164. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ImprovingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/ijcisys/OlmoRGV15,\r\n  Title                    = {Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: {A} Case of Study with Educational Data Sets},\r\n  Author                   = {Juan Luis Olmo and C. Romero and E. Gibaja and S. Ventura},\r\n  Journal                  = {Int. J. Computational Intelligence Systems},\r\n  Year                     = {2015},\r\n  Number                   = {6},\r\n  Pages                    = {1144--1164},\r\n  Volume                   = {8},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/journals/ijcisys/OlmoRGV15},\r\n  DOI                      = {10.1080/18756891.2015.1113748},\r\n  Keywords                 = {Educational Data Mining,Predicting Student Performance},\r\n  Timestamp                = {Mon, 23 Nov 2015 15:41:55 +0100},\r\n  URL                      = {http://dx.doi.org/10.1080/18756891.2015.1113748}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Algoritmo de colonias de abejas artificiales para la composición de equipos médicos.\n \n \n \n \n\n\n \n Delgado-Osuna, J. A.; Lozano, M.; and García-Martínez, C.\n\n\n \n\n\n\n In Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'15), pages 199–208, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"AlgoritmoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Delgado-Osuna2015,\r\n  Title                    = {{Algoritmo de colonias de abejas artificiales para la composici{\\'{o}}n de equipos m{\\'{e}}dicos}},\r\n  Author                   = {Delgado-Osuna, Jos{\\'{e}} A. and Lozano, Manuel and García-Martínez, C.},\r\n  Booktitle                = {Conferencia de la Asociaci{\\'{o}}n Espa{\\~{n}}ola para la Inteligencia Artificial (CAEPIA'15)},\r\n  Year                     = {2015},\r\n  Pages                    = {199--208},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://simd.albacete.org/actascaepia15/papers/00199.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Genetic Programming for Mining Association Rules in Relational Database Environments.\n \n \n \n \n\n\n \n Luna, J. M.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Handbook of Genetic Programming Applications, pages 431-450. Springer International Publishing, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"GeneticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InCollection{Gandomi:2015,\r\n  Title                    = {Genetic Programming for Mining Association Rules in Relational Database Environments},\r\n  Author                   = {Luna, J. M. and Cano, A. and Ventura, S.},\r\n  Booktitle                = {Handbook of Genetic Programming Applications},\r\n  Publisher                = {Springer International Publishing},\r\n  Year                     = {2015},\r\n  Pages                    = {431-450},\r\n  ISBN                     = {978-3-319-20882-4},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://link.springer.com/chapter/10.1007%2F978-3-319-20883-1_17}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n The firefighter problem: Empirical results on random graphs.\n \n \n \n \n\n\n \n García-Martínez, C.; Blum, C.; Rodriguez, F.; and Lozano, M.\n\n\n \n\n\n\n Computers & Operations Research, 60: 55–66. aug 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Garcia-Martinez2015,\r\n  Title                    = {{The firefighter problem: Empirical results on random graphs}},\r\n  Author                   = {García-Martínez, C. and Blum, C. and Rodriguez, F.J. and Lozano, M.},\r\n  Journal                  = {Computers {\\&} Operations Research},\r\n  Year                     = {2015},\r\n  Month                    = {aug},\r\n  Pages                    = {55--66},\r\n  Volume                   = {60},\r\n  Abstract                 = {The firefighter problem is a deterministic discrete-time model for the spread and containment of fire on a graph. Once the fire breaks out at a set of vertices, the goal addressed in this work is to save as many vertices as possible from burning. Although the problem finds applications in various real-world problems, such as the spread of diseases or hoaxes contention in communication networks, this problem has not been addressed from a practical point of view so far, in the sense of finding a good strategy for the general case. In this work, we develop and compare several integer linear programming techniques and heuristic methods. Random graphs are used for the purpose of comparison. The obtained results shed some light on the challenges for computational tools as caused by graph topology, graph size, and the number of firefighters per iteration, when looking for the best strategy for an a priori unknown graph.},\r\n  DOI                      = {10.1016/j.cor.2015.02.004},\r\n  ISSN                     = {03050548},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0305054815000271}\r\n}\r\n\r\n
\n
\n\n\n
\n The firefighter problem is a deterministic discrete-time model for the spread and containment of fire on a graph. Once the fire breaks out at a set of vertices, the goal addressed in this work is to save as many vertices as possible from burning. Although the problem finds applications in various real-world problems, such as the spread of diseases or hoaxes contention in communication networks, this problem has not been addressed from a practical point of view so far, in the sense of finding a good strategy for the general case. In this work, we develop and compare several integer linear programming techniques and heuristic methods. Random graphs are used for the purpose of comparison. The obtained results shed some light on the challenges for computational tools as caused by graph topology, graph size, and the number of firefighters per iteration, when looking for the best strategy for an a priori unknown graph.\n
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\n \n\n \n \n \n \n \n El problema de los cortafuegos. Resultados con métodos heurísticos y con programación lineal entera.\n \n \n \n\n\n \n García-Martínez, C.; Blum, C.; Rodríguez-Díaz, F. J.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pages 43–50, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2015a,\r\n  Title                    = {{El problema de los cortafuegos. Resultados con m{\\'{e}}todos heur{\\'{i}}sticos y con programaci{\\'{o}}n lineal entera}},\r\n  Author                   = {García-Martínez, C. and Blum, Christian and Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},\r\n  Year                     = {2015},\r\n  Pages                    = {43--50},\r\n  Keywords                 = {Metaheuristics}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Combinación de vistas para clasificación multi-etiqueta: estudio preliminar.\n \n \n \n\n\n \n Gibaja, E.; Moyano, J. M.; and Ventura, S.\n\n\n \n\n\n\n In XVI Conferencia de la Asociación Española para la Inteligencia Artificial, CAEPIA'15, pages 759–768, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Gibaja2015_CAEPIA,\r\n  Title                    = {Combinaci{\\'{o}}n de vistas para clasificaci{\\'{o}}n multi-etiqueta: estudio preliminar},\r\n  Author                   = {E. Gibaja and J. M. Moyano and S. Ventura},\r\n  Booktitle                = {XVI Conferencia de la Asociaci{\\'{o}}n Espa\\~{n}ola para la Inteligencia Artificial, CAEPIA'15},\r\n  Year                     = {2015},\r\n  Pages                    = {759--768},\r\n  Keywords                 = {Multi-label Learning, Multi-view Learning, Classification}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A two-stage constructive method for the unweighted minimum string cover problem.\n \n \n \n \n\n\n \n Lozano, M.; Rodriguez, F. J.; and García-Martínez, C.\n\n\n \n\n\n\n Knowledge-Based Systems, 77: 103–113. mar 2015.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2015,\r\n  Title                    = {{A two-stage constructive method for the unweighted minimum string cover problem}},\r\n  Author                   = {Lozano, Manuel and Rodriguez, Francisco J. and García-Martínez, C.},\r\n  Journal                  = {Knowledge-Based Systems},\r\n  Year                     = {2015},\r\n  Month                    = {mar},\r\n  Pages                    = {103--113},\r\n  Volume                   = {77},\r\n  Abstract                 = {In this work, we propose a novel constructive method to deal with the unweighted minimum string cover problem. Given a set of strings S, this defiant optimization problem aims to find a minimum set of substrings M from S such that every string in S can be written as a concatenation of the strings in M. This problem has challenging real-world applications, especially in the field of computational biology. The proposed constructive algorithm is composed of two stages that are executed iteratively. The objective of the first stage is to find frequent substrings in S to be included in M. The aim of the second stage is to simplify the set M to try to get a minimal set. Extensive computational experiments reveal that the proposed algorithm is highly effective for solving complex instances involving up to 100000 strings in S as compared to the current state-of-the-art method.},\r\n  DOI                      = {10.1016/j.knosys.2015.01.003},\r\n  ISSN                     = {09507051},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0950705115000106}\r\n}\r\n\r\n
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\n In this work, we propose a novel constructive method to deal with the unweighted minimum string cover problem. Given a set of strings S, this defiant optimization problem aims to find a minimum set of substrings M from S such that every string in S can be written as a concatenation of the strings in M. This problem has challenging real-world applications, especially in the field of computational biology. The proposed constructive algorithm is composed of two stages that are executed iteratively. The objective of the first stage is to find frequent substrings in S to be included in M. The aim of the second stage is to simplify the set M to try to get a minimal set. Extensive computational experiments reveal that the proposed algorithm is highly effective for solving complex instances involving up to 100000 strings in S as compared to the current state-of-the-art method.\n
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\n \n\n \n \n \n \n \n Una metaheurísticas multiarranque para el problema de la partición entera común mínima.\n \n \n \n\n\n \n Lozano, M.; Rodríguez-Díaz, F. J.; and García-Martínez, C.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pages 75–82, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Lozano2015a,\r\n  Title                    = {{Una metaheur{\\'{i}}sticas multiarranque para el problema de la partici{\\'{o}}n entera com{\\'{u}}n m{\\'{i}}nima}},\r\n  Author                   = {Lozano, Manuel and Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and García-Martínez, C.},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},\r\n  Year                     = {2015},\r\n  Pages                    = {75--82},\r\n  Keywords                 = {Metaheuristics}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An evolutionary algorithm for the discovery of rare class association rules in learning management systems.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, C.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Applied Intelligence, 42(3): 501-513. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna-2015-APIN,\r\n  Title                    = {An evolutionary algorithm for the discovery of rare class association rules in learning management systems},\r\n  Author                   = {Luna, J. M. and Romero, C. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Applied Intelligence},\r\n  Year                     = {2015},\r\n  Number                   = {3},\r\n  Pages                    = {501-513},\r\n  Volume                   = {42},\r\n  DOI                      = {10.1007/s10489-014-0603-4},\r\n  Keywords                 = {Educational Data Mining, Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s10489-014-0603-4}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An Evolutionary Self-Adaptive Algorithm for Mining Association Rules.\n \n \n \n \n\n\n \n Luna, J. M.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Data Mining: Principles, Applications and Emerging Challenges. Nova Publishers, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InCollection{Luna-2015-Book,\r\n  Title                    = {An Evolutionary Self-Adaptive Algorithm for Mining Association Rules},\r\n  Author                   = {Luna, J. M. and Cano, A. and Ventura, S.},\r\n  Booktitle                = {Data Mining: Principles, Applications and Emerging Challenges},\r\n  Publisher                = {Nova Publishers},\r\n  Year                     = {2015},\r\n  ISBN                     = {978-1-63463-770-1},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {https://www.novapublishers.com/catalog/product_info.php?products_id=53111}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A Classification Module for Genetic Programming Algorithms in JCLEC.\n \n \n \n \n\n\n \n Cano, A.; Luna, J. M.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Journal of Machine Learning Research, 16: 491-494. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna-2015-JMLR,\r\n  Title                    = {A Classification Module for Genetic Programming Algorithms in JCLEC},\r\n  Author                   = {Cano, A. and Luna, J. M. and Zafra, A. and Ventura, S.},\r\n  Journal                  = {Journal of Machine Learning Research},\r\n  Year                     = {2015},\r\n  Pages                    = {491-494},\r\n  Volume                   = {16},\r\n  Keywords                 = {Genetic Programming, Classification},\r\n  URL                      = {http://jmlr.org/papers/volume16/cano15a/cano15a.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Discovering clues to avoid middle school failure at early stages.\n \n \n \n \n\n\n \n Jiménez, M. A.; Luna, J. M.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Learning Analytics and Knowledge, of LAK '15, pages 300-304, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"DiscoveringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2015-LAK,\r\n  Title                    = {Discovering clues to avoid middle school failure at early stages},\r\n  Author                   = {Jim\\'{e}nez, M. A. and Luna, J. M. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Learning Analytics and Knowledge},\r\n  Year                     = {2015},\r\n  Pages                    = {300-304},\r\n  Series                   = {LAK '15},\r\n  DOI                      = {10.1145/2723576.2723597},\r\n  ISBN                     = {978-1-4503-3417-4},\r\n  Keywords                 = {Educational Data Mining, Predicting Student Performance},\r\n  URL                      = {http://dl.acm.org/citation.cfm?id=2723597&dl=ACM&coll=DL&CFID=501310898&CFTOKEN=38124969}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Diseño automático de multi-clasificadores basados en proyecciones de etiquetas.\n \n \n \n \n\n\n \n Moyano, J. M.; Gibaja, E.; Cano, A.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In XVI Conferencia de la Asociación Española para la Inteligencia Artificial, of CAEPIA'15, pages 355–365, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"DiseñoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Moyano2015b_CAEPIA,\r\n  Title                    = {Dise\\~{n}o autom{\\'{a}}tico de multi-clasificadores basados en proyecciones de etiquetas},\r\n  Author                   = {J. M. Moyano and E. Gibaja and A. Cano and J. M. Luna and S. Ventura},\r\n  Booktitle                = {XVI Conferencia de la Asociaci{\\'{o}}n Espa\\~{n}ola para la Inteligencia Artificial},\r\n  Year                     = {2015},\r\n  Pages                    = {355--365},\r\n  Series                   = {CAEPIA'15},\r\n  Keywords                 = {Supervised Learning, Multi-label Learning, Classification, Evolutionary Algorithms},\r\n  URL                      = {http://simd.albacete.org/actascaepia15/papers/00355.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta.\n \n \n \n \n\n\n \n Moyano, J. M.; Gibaja, E.; Cano, A.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In X Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'15, pages 219-225, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"AlgoritmoPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Moyano-2015-MAEB,\r\n  Title                    = {Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta},\r\n  Author                   = {Moyano, J. M. and Gibaja, E. and Cano, A. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {X Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2015},\r\n  Pages                    = {219-225},\r\n  Series                   = {MAEB'15},\r\n  Keywords                 = {Supervised Learning, Multi-label Learning, Classification, Evolutionary Algorithms},\r\n  URL                      = {http://www.uco.es/~i02momuj/pdf/maeb15.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE.\n \n \n \n\n\n \n Pinheiro, D.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 17th Portuguese Conference on Artificial Intelligence, pages 305–310, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Pinheiro-2015-EPIA,\r\n  Title                    = {Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE},\r\n  Author                   = {D. Pinheiro and A. Cano and S. Ventura},\r\n  Booktitle                = {Proceedings of the 17th Portuguese Conference on Artificial Intelligence},\r\n  Year                     = {2015},\r\n  Pages                    = {305--310},\r\n  City                     = {Coimbra},\r\n  Country                  = {Portugal},\r\n  Keywords                 = {Genetic Programming}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 17th Genetic and Evolutionary Computation Conference, GECCO'15 Companion, of GECCO Companion '15, pages 1085-1092, New York, NY, USA, 2015. ACM\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2015-GECCO,\r\n  Title                    = {An Extensible {JCLEC}-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 17th Genetic and Evolutionary Computation Conference, GECCO'15 Companion},\r\n  Year                     = {2015},\r\n  Address                  = {New York, NY, USA},\r\n  Pages                    = {1085-1092},\r\n  Publisher                = {ACM},\r\n  Series                   = {GECCO Companion '15},\r\n  Acmid                    = {2768461},\r\n  DOI                      = {10.1145/2739482.2768461},\r\n  ISBN                     = {978-1-4503-3488-4},\r\n  Keywords                 = {Software Design \\& Development, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  Location                 = {Madrid, Spain},\r\n  Numpages                 = {8},\r\n  URL                      = {http://doi.acm.org/10.1145/2739482.2768461}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An approach for the evolutionary discovery of software architectures.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 305: 234-255. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Ramirez-2015-INS,\r\n  Title                    = {An approach for the evolutionary discovery of software architectures},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2015},\r\n  Pages                    = {234-255},\r\n  Volume                   = {305},\r\n  DOI                      = {10.1016/j.ins.2015.01.017},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2015.01.017}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Interactividad en el descubrimiento evolutivo de arquitecturas.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In XX Jornadas en Ingeniería del Software y Bases de Datos (JISBD'15), 2015. \n \n\n\n\n
\n\n\n\n \n \n \"InteractividadPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2015-JISBD,\r\n  Title                    = {{Interactividad en el descubrimiento evolutivo de arquitecturas}},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {XX Jornadas en Ingenier\\'ia del Software y Bases de Datos (JISBD'15)},\r\n  Year                     = {2015},\r\n  Keywords                 = {Search-based Software Engineering},\r\n  URL                      = {http://hdl.handle.net/11705/JISBD/2015/029}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Estudio preliminar del rendimiento de familias de algoritmos multiobjetivo en diseño arquitectónico.\n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In X Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'15, pages 173-180, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2015-MAEB,\r\n  Title                    = {Estudio preliminar del rendimiento de familias de algoritmos multiobjetivo en dise\\~no arquitect\\'onico},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {X Congreso Espa\\~nol sobre Metaheur\\'isticas, Algoritmos Evolutivos y Bioinspirados, MAEB'15},\r\n  Year                     = {2015},\r\n  Pages                    = {173-180},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n Neurocomputing , 161: 168–182. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ScalablePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Reyes-2015-NEUCOM,\r\n  Title                    = {Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context},\r\n  Author                   = {Reyes, O. and Morell, C. and Ventura, S.},\r\n  Journal                  = {Neurocomputing },\r\n  Year                     = {2015},\r\n  Pages                    = {168--182},\r\n  Volume                   = {161},\r\n  DOI                      = {10.1016/j.neucom.2015.02.045},\r\n  Keywords                 = {Multi-label Learning,Feature Selection,Data Preprocessing,Supervised Learning},\r\n  URL                      = {http://dx.doi.org/10.1016/j.neucom.2015.02.045}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Aplicación del aprendizaje activo en el diagnóstico médico.\n \n \n \n \n\n\n \n Pérez, E.; Reyes, O.; and Ventura, S.\n\n\n \n\n\n\n In IV Encontro Regional de Computação e Sistemas de Informação (ENCOSIS-2015), 2015. \n \n\n\n\n
\n\n\n\n \n \n \"AplicaciónPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{reyesAL,\r\n  Title                    = {Aplicaci{\\'o}n del aprendizaje activo en el diagn{\\'o}stico m{\\'e}dico},\r\n  Author                   = {P{\\'e}rez, Eduardo and Reyes, O. and Ventura, S.},\r\n  Booktitle                = {IV Encontro Regional de Computação e Sistemas de Informação (ENCOSIS-2015)},\r\n  Year                     = {2015},\r\n  Keywords                 = {Active Learning},\r\n  URL                      = {http://www.encosis.com.br/2015/sessoes-paralelas}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Least confident sampling strategy for cardiac diseases diagnosis.\n \n \n \n\n\n \n Pérez, E.; and Reyes, O.\n\n\n \n\n\n\n In VII Conferencia Científica Internacional de la Universidad de Holguín, Holguín, Cuba, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{reyesALCOM,\r\n  Title                    = {Least confident sampling strategy for cardiac diseases diagnosis},\r\n  Author                   = {P{\\'e}rez, Eduardo and Reyes, O.},\r\n  Booktitle                = {VII Conferencia Cient{\\'i}fica Internacional de la Universidad de Holgu{\\'i}n, Holgu{\\'i}n, Cuba},\r\n  Year                     = {2015},\r\n  Keywords                 = {Active Learning}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Aplicación del método ponderado de densidad en problemas de clasificación.\n \n \n \n\n\n \n Pérez, E.; and Reyes, O.\n\n\n \n\n\n\n In Congreso Internacional de Matemática y Computació (COMPUMAT-2015), Habana, Cuba, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{reyesALCOM2,\r\n  Title                    = {Aplicaci{\\'o}n del m{\\'e}todo ponderado de densidad en problemas de clasificaci{\\'o}n},\r\n  Author                   = {P{\\'e}rez, Eduardo and Reyes, O.},\r\n  Booktitle                = {Congreso Internacional de Matem{\\'a}tica y Computaci{\\'o} (COMPUMAT-2015), Habana, Cuba},\r\n  Year                     = {2015},\r\n  Keywords                 = {Active Learning}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Un algoritmo de colonias de abejas artificiales para el problema de agrupación de máxima diversidad.\n \n \n \n\n\n \n Rodríguez-Díaz, F. J.; Lozano, M.; and García-Martínez, C.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15), pages 211–218, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Rodriguez-Diaz2015,\r\n  Title                    = {{Un algoritmo de colonias de abejas artificiales para el problema de agrupaci{\\'{o}}n de m{\\'{a}}xima diversidad}},\r\n  Author                   = {Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and Lozano, Manuel and García-Martínez, C.},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'15)},\r\n  Year                     = {2015},\r\n  Pages                    = {211--218},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Sistema de gestión de flujos de trabajo para la definición visual de aplicaciones basadas en algoritmos evolutivos.\n \n \n \n \n\n\n \n Salado-Cid, R.; Luque, G.; and Romero, J. R.\n\n\n \n\n\n\n In XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'15), pages 261-270, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"SistemaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Salado-Cid2015-CAEPIA,\r\n  Title                    = {Sistema de gesti\\'on de flujos de trabajo para la definici\\'on visual de aplicaciones basadas en algoritmos evolutivos},\r\n  Author                   = {Salado-Cid, R. and Luque, G. and Romero, J. R.},\r\n  Booktitle                = {XVI Conferencia de la Asociaci\\'on Espa\\~nola para la Inteligencia Artificial (CAEPIA'15)},\r\n  Year                     = {2015},\r\n  Pages                    = {261-270},\r\n  ISBN                     = {978-84-608-4099-2},\r\n  Keywords                 = {Scientific workflows, Evolutionary Algorithms},\r\n  URL                      = {http://simd.albacete.org/actascaepia15/}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Modelo de Reglas de Asociación para el Diagnóstico de Prestaciones en el Servicio Público de Empleo Estatal.\n \n \n \n\n\n \n Sanchez, J. A.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In X Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'15, pages 119-126, 2015. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Sanchez-2015-MAEB,\r\n  Title                    = {Modelo de Reglas de Asociaci\\'{o}n para el Diagn\\'{o}stico de Prestaciones en el Servicio P\\'{u}blico de Empleo Estatal},\r\n  Author                   = {Sanchez, J. A. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {X Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2015},\r\n  Pages                    = {119-126},\r\n  Series                   = {MAEB'15},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evaluation and selection of group recommendation strategies for collaborative searching of learning objects.\n \n \n \n \n\n\n \n Zapata, A.; Menéndez, V.; Prieto, M.; and Romero, C.\n\n\n \n\n\n\n International Journal of Human Computer Studies, 76: 22-39. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zapata-2015-IJHCS,\r\n  Title                    = {Evaluation and selection of group recommendation strategies for collaborative searching of learning objects},\r\n  Author                   = {Zapata, A. and Menéndez, V.H. and Prieto, M.E. and Romero, C.},\r\n  Journal                  = {International Journal of Human Computer Studies},\r\n  Year                     = {2015},\r\n  Pages                    = {22-39},\r\n  Volume                   = {76},\r\n  DOI                      = {10.1016/j.ijhcs.2014.12.002},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ijhcs.2014.12.002}\r\n}\r\n\r\n
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\n  \n 2014\n \n \n (28)\n \n \n
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\n \n\n \n \n \n \n \n \n The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms.\n \n \n \n \n\n\n \n Blum, C.; Blesa, M.; García-Martínez, C.; Rodríguez, F.; and Lozano, M.\n\n\n \n\n\n\n In European Conference on Evolutionary Computation in Combinatorial Optimization, pages 218–229, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Blum2014,\r\n  Title                    = {{The Firefighter Problem: Application of Hybrid Ant Colony Optimization Algorithms}},\r\n  Author                   = {Blum, Christian and Blesa, M.J. and García-Martínez, C. and Rodr{\\'{i}}guez, F.J. and Lozano, Manuel},\r\n  Booktitle                = {European Conference on Evolutionary Computation in Combinatorial Optimization},\r\n  Year                     = {2014},\r\n  Pages                    = {218--229},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Ant Programming},\r\n  URL                      = {http://link.springer.com/chapter/10.1007{\\%}2F978-3-662-44320-0{\\_}19}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Clustering for improving Educational process mining.\n \n \n \n \n\n\n \n Bogarín, A.; Romero, C.; Cerezo, R.; and Sánchez-Santillán, M.\n\n\n \n\n\n\n In ACM International Conference Proceeding Series, pages 11-15, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"ClusteringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Bogarin-2014-ACM,\r\n  Title                    = {Clustering for improving Educational process mining},\r\n  Author                   = {Bogarín, A. and Romero, C. and Cerezo, R. and Sánchez-Santillán, M.},\r\n  Booktitle                = {ACM International Conference Proceeding Series},\r\n  Year                     = {2014},\r\n  Pages                    = {11-15},\r\n  DOI                      = {10.1145/2567574.2567604},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://dx.doi.org/10.1145/2567574.2567604}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n GPU-parallel SubTree interpreter for genetic programming.\n \n \n \n \n\n\n \n Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14, pages 887-893, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"GPU-parallelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Cano-2014-GECCO,\r\n  Title                    = {GPU-parallel SubTree interpreter for genetic programming},\r\n  Author                   = {Cano, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14},\r\n  Year                     = {2014},\r\n  Pages                    = {887-893},\r\n  DOI                      = {10.1145/2576768.2598272},\r\n  Keywords                 = {GP-GPU, Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1145/2576768.2598272}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Parallelization strategies for markerless human motion capture.\n \n \n \n \n\n\n \n Cano, A.; Yeguas-Bolivar, E.; Muñoz-Salinas, R.; Medina-Carnicer, R.; and Ventura, S.\n\n\n \n\n\n\n Journal of Real-Time Image Processing, In press. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ParallelizationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2014-JRTIP,\r\n  Title                    = {Parallelization strategies for markerless human motion capture},\r\n  Author                   = {Cano, A. and Yeguas-Bolivar, E. and Muñoz-Salinas, R. and Medina-Carnicer, R. and Ventura, S.},\r\n  Journal                  = {Journal of Real-Time Image Processing},\r\n  Year                     = {2014},\r\n  Volume                   = {In press},\r\n  DOI                      = {10.1007/s11554-014-0467-1},\r\n  Keywords                 = {GP-GPU, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s11554-014-0467-1}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Scalable CAIM discretization on multiple GPUs using concurrent kernels.\n \n \n \n \n\n\n \n Cano, A.; Ventura, S.; and Cios, K.\n\n\n \n\n\n\n Journal of Supercomputing, 69(1): 273-292. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ScalablePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2014-JSUP,\r\n  Title                    = {Scalable CAIM discretization on multiple GPUs using concurrent kernels},\r\n  Author                   = {Cano, A. and Ventura, S. and Cios, K.J.},\r\n  Journal                  = {Journal of Supercomputing},\r\n  Year                     = {2014},\r\n  Number                   = {1},\r\n  Pages                    = {273-292},\r\n  Volume                   = {69},\r\n  DOI                      = {10.1007/s11227-014-1151-8},\r\n  Keywords                 = {GP-GPU, Data Preprocessing, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/s11227-014-1151-8}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Parallel evaluation of Pittsburgh rule-based classifiers on GPUs.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Neurocomputing, 126: 45-57. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ParallelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2014-NEUCOM,\r\n  Title                    = {Parallel evaluation of Pittsburgh rule-based classifiers on GPUs},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Journal                  = {Neurocomputing},\r\n  Year                     = {2014},\r\n  Pages                    = {45-57},\r\n  Volume                   = {126},\r\n  DOI                      = {10.1016/j.neucom.2013.01.049},\r\n  Keywords                 = {GP-GPU, Classification, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1016/j.neucom.2013.01.049}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Special issue: Advances in learning schemes for function approximation.\n \n \n \n \n\n\n \n Corchado, E.; Abraham, A.; Gutiérrez, P.; Benítez, J. M.; and Ventura, S.\n\n\n \n\n\n\n Neurocomputing, 135: 1-2. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"SpecialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Corchado-2014-NEUCOM,\r\n  Title                    = {Special issue: Advances in learning schemes for function approximation},\r\n  Author                   = {Corchado, E. and Abraham, A. and Gutiérrez, P.A. and Benítez, J. M. and Ventura, S.},\r\n  Journal                  = {Neurocomputing},\r\n  Year                     = {2014},\r\n  Pages                    = {1-2},\r\n  Volume                   = {135},\r\n  DOI                      = {10.1016/j.neucom.2013.12.003},\r\n  Keywords                 = {Special Issue},\r\n  URL                      = {http://dx.doi.org/10.1016/j.neucom.2013.12.003}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Clustering for improving educational process mining.\n \n \n \n \n\n\n \n Bogarín, A.; Romero, C.; Cerezo, R.; and Sánchez-Santillán, M.\n\n\n \n\n\n\n In Learning Analytics and Knowledge Conference 2014, LAK '14, Indianapolis, IN, USA, March 24-28, 2014, pages 11–15, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"ClusteringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{DBLP:conf/lak/BogarinRCS14,\r\n  Title                    = {Clustering for improving educational process mining},\r\n  Author                   = {Alejandro Bogar{\\'{\\i}}n and C. Romero and Rebeca Cerezo and Miguel S{\\'{a}}nchez{-}Santill{\\'{a}}n},\r\n  Booktitle                = {Learning Analytics and Knowledge Conference 2014, {LAK} '14, Indianapolis, IN, USA, March 24-28, 2014},\r\n  Year                     = {2014},\r\n  Pages                    = {11--15},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/conf/lak/BogarinRCS14},\r\n  DOI                      = {10.1145/2567574.2567604},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  Timestamp                = {Wed, 26 Mar 2014 07:50:09 +0100},\r\n  URL                      = {http://doi.acm.org/10.1145/2567574.2567604}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining.\n \n \n \n \n\n\n \n Fuentes-Alventosa, J.; Romero, C.; García-Martínez, C.; and Ventura, S.\n\n\n \n\n\n\n In International Conference on Educational Data Mining (EDM'14), pages 327–328, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"AcceptingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Fuentes-Alventosa2014,\r\n  Title                    = {{Accepting or Rejecting Students' Self-grading in Their Final Marks by using Data Mining}},\r\n  Author                   = {Fuentes-Alventosa, Javier and Romero, Crist{\\'{o}}bal and García-Martínez, C. and Ventura, Sebasti{\\'{a}}n},\r\n  Booktitle                = {International Conference on Educational Data Mining (EDM'14)},\r\n  Year                     = {2014},\r\n  Pages                    = {327--328},\r\n  Keywords                 = {Supervised Learning,Classification,Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://educationaldatamining.org/EDM2014/uploads/procs2014/posters/3{\\_}EDM-2014-Poster.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Strategic oscillation for the quadratic multiple knapsack problem.\n \n \n \n \n\n\n \n García-Martínez, C.; Glover, F.; Rodriguez, F. J.; Lozano, M.; and Martí, R.\n\n\n \n\n\n\n Computational Optimization and Applications, 58(1): 161–185. nov 2014.\n \n\n\n\n
\n\n\n\n \n \n \"StrategicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{garcia2014soqmkp,\r\n  Title                    = {{Strategic oscillation for the quadratic multiple knapsack problem}},\r\n  Author                   = {García-Martínez, C. and Glover, Fred and Rodriguez, Francisco J. and Lozano, Manuel and Mart{\\'{i}}, Rafael},\r\n  Journal                  = {Computational Optimization and Applications},\r\n  Year                     = {2014},\r\n  Month                    = {nov},\r\n  Number                   = {1},\r\n  Pages                    = {161--185},\r\n  Volume                   = {58},\r\n  DOI                      = {10.1007/s10589-013-9623-y},\r\n  ISBN                     = {3495721266},\r\n  ISSN                     = {0926-6003},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://link.springer.com/10.1007/s10589-013-9623-y}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem.\n \n \n \n \n\n\n \n García-Martínez, C.; Rodriguez, F.; and Lozano, M.\n\n\n \n\n\n\n European Journal of Operational Research, 232(3): 454–463. feb 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Tabu-enhancedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Garcia-Martinez2014,\r\n  Title                    = {{Tabu-enhanced iterated greedy algorithm: A case study in the quadratic multiple knapsack problem}},\r\n  Author                   = {García-Martínez, C. and Rodriguez, F.J. and Lozano, Manuel},\r\n  Journal                  = {European Journal of Operational Research},\r\n  Year                     = {2014},\r\n  Month                    = {feb},\r\n  Number                   = {3},\r\n  Pages                    = {454--463},\r\n  Volume                   = {232},\r\n  DOI                      = {10.1016/j.ejor.2013.07.035},\r\n  ISSN                     = {03772217},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0377221713006164}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-label learning: A review of the state of the art and ongoing research.\n \n \n \n \n\n\n \n Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(6): 411-444. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-labelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Gibaja-2014-WIRES,\r\n  Title                    = {Multi-label learning: A review of the state of the art and ongoing research},\r\n  Author                   = {Gibaja, E. and Ventura, S.},\r\n  Journal                  = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},\r\n  Year                     = {2014},\r\n  Number                   = {6},\r\n  Pages                    = {411-444},\r\n  Volume                   = {4},\r\n  DOI                      = {10.1002/widm.1139},\r\n  Keywords                 = {Multi-label Learning, Classification},\r\n  URL                      = {http://dx.doi.org/10.1002/widm.1139}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Tabu search with strategic oscillation for the quadratic minimum spanning tree.\n \n \n \n \n\n\n \n Lozano, M.; Glover, F.; García-Martínez, C.; Rodríguez, F. J.; and Martí, R.\n\n\n \n\n\n\n IIE Transactions, 46(4): 414–428. apr 2014.\n \n\n\n\n
\n\n\n\n \n \n \"TabuPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2014,\r\n  Title                    = {{Tabu search with strategic oscillation for the quadratic minimum spanning tree}},\r\n  Author                   = {Lozano, Manuel and Glover, Fred and García-Martínez, C. and Rodr{\\'{i}}guez, Francisco Javier and Mart{\\'{i}}, Rafael},\r\n  Journal                  = {IIE Transactions},\r\n  Year                     = {2014},\r\n  Month                    = {apr},\r\n  Number                   = {4},\r\n  Pages                    = {414--428},\r\n  Volume                   = {46},\r\n  DOI                      = {10.1080/0740817X.2013.768785},\r\n  ISSN                     = {0740-817X},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://www.tandfonline.com/doi/abs/10.1080/0740817X.2013.768785}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Reducing gaps in quantitative association rules: a genetic programming free-parameter algorithm.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Integrated Computer Aided Engineering, 21(4): 321-337. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ReducingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna-2014-ICAE,\r\n  Title                    = {Reducing gaps in quantitative association rules: a genetic programming free-parameter algorithm},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Romero, C. and Ventura, S.},\r\n  Journal                  = {Integrated Computer Aided Engineering},\r\n  Year                     = {2014},\r\n  Number                   = {4},\r\n  Pages                    = {321-337},\r\n  Volume                   = {21},\r\n  DOI                      = {10.3233/ICA-140467},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://iospress.metapress.com/content/4170361m2628p781/}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n On the adaptability of G3PARM to the extraction of rare association rules.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Knowledge and Information Systems, 38(2): 391-418. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna-2014-KAIS,\r\n  Title                    = {On the adaptability of G3PARM to the extraction of rare association rules},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Knowledge and Information Systems},\r\n  Year                     = {2014},\r\n  Number                   = {2},\r\n  Pages                    = {391-418},\r\n  Volume                   = {38},\r\n  DOI                      = {10.1007/s10115-012-0591-9},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s10115-012-0591-9}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n IEEE Transactions on Cybernetics, 44(12): 2329-2341. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{LunaSD:2014,\r\n  Title                    = {On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Romero, C. and Ventura, S.},\r\n  Journal                  = {{IEEE} Transactions on Cybernetics},\r\n  Year                     = {2014},\r\n  Number                   = {12},\r\n  Pages                    = {2329-2341},\r\n  Volume                   = {44},\r\n  DOI                      = {10.1109/TCYB.2014.2306819},\r\n  ISSN                     = {2168-2267},\r\n  Keywords                 = {Pattern Mining, Subgroup Discovery, Genetic Programming, Grammar-Based Genetic Programming, Evolutionary Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6756991}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Biologically-Inspired Techniques for Knowledge Discovery and Data Mining.\n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Alam, S.; Dobbie, G.; Koh, Y.; and Rehman, S., editor(s), of Advances in Data Mining and Database Management Book Series, Ant Programming Algorithms for Classification, pages 107–128. IGI Global, 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InCollection{Olmo-2014-IGI,\r\n  Title                    = {Biologically-Inspired Techniques for Knowledge Discovery and Data Mining},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Publisher                = {IGI Global},\r\n  Year                     = {2014},\r\n  Chapter                  = {Ant Programming Algorithms for Classification},\r\n  Editor                   = {Alam, S. and Dobbie, G. and Koh, Y.S. and Rehman, S.u.},\r\n  Pages                    = {107--128},\r\n  Series                   = {Advances in Data Mining and Database Management Book Series},\r\n  DOI                      = {10.4018/978-1-4666-6078-6.ch005},\r\n  ISBN                     = {9781466660786},\r\n  Keywords                 = {Ant Programming, Classification}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Single and multi-objective ant programming for mining interesting rare association rules.\n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n International Journal of Hybrid Intelligent Systems, 11(3): 197–209. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Olmo-2014-IJHIS,\r\n  Title                    = {Single and multi-objective ant programming for mining interesting rare association rules},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {International Journal of Hybrid Intelligent Systems},\r\n  Year                     = {2014},\r\n  Number                   = {3},\r\n  Pages                    = {197--209},\r\n  Volume                   = {11},\r\n  DOI                      = {10.1007/978-3-319-02738-8_2},\r\n  Keywords                 = {Association Rule Mining, Ant Programming, Multi-objective Optimization}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Swarm-based metaheuristics in automatic programming: A survey.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 4(6): 445-469. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Swarm-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Olmo-2014-WIRES,\r\n  Title                    = {Swarm-based metaheuristics in automatic programming: A survey},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},\r\n  Year                     = {2014},\r\n  Number                   = {6},\r\n  Pages                    = {445-469},\r\n  Volume                   = {4},\r\n  DOI                      = {10.1002/widm.1138},\r\n  Keywords                 = {Bioinspired algorithms, Metaheuristics},\r\n  URL                      = {http://dx.doi.org/10.1002/widm.1138}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Classification Rule Mining with Iterated Greedy.\n \n \n \n \n\n\n \n Pedraza, J. A; García-Martínez, C.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In International Conference on Hybrid Artificial Intelligence Systems, pages 585–596, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Pedraza2014,\r\n  Title                    = {{Classification Rule Mining with Iterated Greedy}},\r\n  Author                   = {Pedraza, Juan A and Garc{\\'{i}}a-Mart{\\'{i}}nez, Carlos and Cano, Alberto and Ventura, Sebasti{\\'{a}}n},\r\n  Booktitle                = {International Conference on Hybrid Artificial Intelligence Systems},\r\n  Year                     = {2014},\r\n  Pages                    = {585--596},\r\n  Keywords                 = {Supervised Learning,Classification},\r\n  URL                      = {http://link.springer.com/chapter/10.1007/978-3-319-07617-1{\\_}51}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Classification rule mining with iterated greedy.\n \n \n \n \n\n\n \n Pedraza, J.; García-Martínez, C.; Cano, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS'14, volume 8480 LNAI, pages 585-596, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Pedraza-2014-HAIS,\r\n  Title                    = {Classification rule mining with iterated greedy},\r\n  Author                   = {Pedraza, J.A. and García-Martínez, C. and Cano, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS'14},\r\n  Year                     = {2014},\r\n  Pages                    = {585-596},\r\n  Volume                   = {8480 LNAI},\r\n  DOI                      = {10.1007/978-3-319-07617-1_51},\r\n  Keywords                 = {Classification Rules, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-07617-1_51}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n On the Performance of Multiple Objective Evolutionary Algorithms for Software Architecture Discovery.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14, pages 1287-1294, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2014-GECCO,\r\n  Title                    = {{On the Performance of Multiple Objective Evolutionary Algorithms for Software Architecture Discovery}},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO'14},\r\n  Year                     = {2014},\r\n  Pages                    = {1287-1294},\r\n  DOI                      = {10.1145/2576768.2598310},\r\n  Keywords                 = {Search-based Software Engineering, Multi-objective Optimization, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1145/2576768.2598310}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Análisis de la aplicabilidad de medidas software para el diseño semi-automático de arquitecturas.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In XIX Jornadas en Ingeniería del Software y Bases de Datos, JISBD'14, pages 307-320, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"AnálisisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2014-JISBD,\r\n  Title                    = {{An\\'alisis de la aplicabilidad de medidas software para el dise\\~no semi-autom\\'atico de arquitecturas}},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {XIX Jornadas en Ingenier\\'ia del Software y Bases de Datos, JISBD'14},\r\n  Year                     = {2014},\r\n  Pages                    = {307-320},\r\n  ISBN                     = {978-84-697-1152-1},\r\n  Keywords                 = {Search-based Software Engineering, Software Design \\& Development},\r\n  URL                      = {http://hdl.handle.net/11705/JISBD/2014/050}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evolutionary feature weighting to improve the performance of multi-label lazy algorithms.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n Integrated Computer-Aided Engineering, 21(4): 339-354. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Reyes-2014-ICAE,\r\n  Title                    = {Evolutionary feature weighting to improve the performance of multi-label lazy algorithms},\r\n  Author                   = {Reyes, O. and Morell, C. and Ventura, S.},\r\n  Journal                  = {Integrated Computer-Aided Engineering},\r\n  Year                     = {2014},\r\n  Number                   = {4},\r\n  Pages                    = {339-354},\r\n  Volume                   = {21},\r\n  DOI                      = {10.3233/ICA-140468},\r\n  Keywords                 = {Multi-label Learning,Data Preprocessing,Supervised Learning,Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.3233/ICA-140468}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A survey on pre-processing educational data.\n \n \n \n \n\n\n \n Romero, C.; Romero, J.; and Ventura, S.\n\n\n \n\n\n\n Studies in Computational Intelligence, 524: 29-64. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2014-SCI,\r\n  Title                    = {A survey on pre-processing educational data},\r\n  Author                   = {Romero, C. and Romero, J.R. and Ventura, S.},\r\n  Journal                  = {Studies in Computational Intelligence},\r\n  Year                     = {2014},\r\n  Pages                    = {29-64},\r\n  Volume                   = {524},\r\n  DOI                      = {10.1007/978-3-319-02738-8-2},\r\n  Keywords                 = {Educational Data Mining,Data Preprocessing},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-319-02738-8-2}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Metaherramienta para la generación de aplicaciones científicas basadas en workflows.\n \n \n \n \n\n\n \n Salado-Cid, R.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In X Jornadas de Ciencia e Ingeniería de Servicios (JCIS'14), pages 96-105, 2014. \n \n\n\n\n
\n\n\n\n \n \n \"MetaherramientaPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Salado-Cid2014-JCIS,\r\n  Title                    = {Metaherramienta para la generaci\\'on de aplicaciones cient\\'ificas basadas en workflows},\r\n  Author                   = {Salado-Cid, R. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {X Jornadas de Ciencia e Ingenier\\'ia de Servicios (JCIS'14)},\r\n  Year                     = {2014},\r\n  Pages                    = {96-105},\r\n  ISBN                     = {978-84-697-1153-8},\r\n  Keywords                 = {Scientific workflows, Software Design & Development},\r\n  URL                      = {http://sistedes2014.uca.es/Actas-JCIS-2014.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Impact of HbA1c measurement on hospital readmission rates: Analysis of 70,000 clinical database patient records.\n \n \n \n \n\n\n \n Strack, B.; Deshazo, J.; Gennings, C.; Olmo, J.; Ventura, S.; Cios, K.; and Clore, J.\n\n\n \n\n\n\n BioMed Research International, 2014. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ImpactPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Strack-2014-BRI,\r\n  Title                    = {Impact of HbA1c measurement on hospital readmission rates: Analysis of 70,000 clinical database patient records},\r\n  Author                   = {Strack, B. and Deshazo, J.P. and Gennings, C. and Olmo, J.L. and Ventura, S. and Cios, K.J. and Clore, J.N.},\r\n  Journal                  = {BioMed Research International},\r\n  Year                     = {2014},\r\n  Volume                   = {2014},\r\n  DOI                      = {10.1155/2014/781670},\r\n  Keywords                 = {Clinical Data Mining, Medical Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1155/2014/781670}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Foreword: Intelligent data analysis.\n \n \n \n \n\n\n \n Ventura, S.; Romero, C.; and Abraham, A.\n\n\n \n\n\n\n Journal of Computer and System Sciences, 80(1): 1-2. 2014.\n \n\n\n\n
\n\n\n\n \n \n \"Foreword:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Ventura-2014-JCSC,\r\n  Title                    = {Foreword: Intelligent data analysis},\r\n  Author                   = {Ventura, S. and Romero, C. and Abraham, A.},\r\n  Journal                  = {Journal of Computer and System Sciences},\r\n  Year                     = {2014},\r\n  Number                   = {1},\r\n  Pages                    = {1-2},\r\n  Volume                   = {80},\r\n  DOI                      = {10.1016/j.jcss.2013.03.003},\r\n  Keywords                 = {Data Science},\r\n  URL                      = {http://dx.doi.org/10.1016/j.jcss.2013.03.003}\r\n}\r\n\r\n
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\n  \n 2013\n \n \n (32)\n \n \n
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\n \n\n \n \n \n \n \n \n High performance evaluation of evolutionary-mined association rules on GPUs.\n \n \n \n \n\n\n \n Cano, A.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n The Journal of Supercomputing, 66(3): 1438-1461. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"HighPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano:2013,\r\n  Title                    = {High performance evaluation of evolutionary-mined association rules on GPUs},\r\n  Author                   = {Cano, A. and Luna, J. M. and Ventura, S.},\r\n  Journal                  = {The Journal of Supercomputing},\r\n  Year                     = {2013},\r\n  Number                   = {3},\r\n  Pages                    = {1438-1461},\r\n  Volume                   = {66},\r\n  DOI                      = {10.1007/s11227-013-0937-4},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, GP-GPU},\r\n  URL                      = {http://dx.doi.org/10.1007/s11227-013-0937-4}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n Weighted data gravitation classification for standard and imbalanced data.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n IEEE Transactions on Cybernetics, 43(6): 1672-1687. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"WeightedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2013-CYB,\r\n  Title                    = {Weighted data gravitation classification for standard and imbalanced data},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Journal                  = {IEEE Transactions on Cybernetics},\r\n  Year                     = {2013},\r\n  Number                   = {6},\r\n  Pages                    = {1672-1687},\r\n  Volume                   = {43},\r\n  DOI                      = {10.1109/TSMCB.2012.2227470},\r\n  Keywords                 = {GP-GPU, Classification, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1109/TSMCB.2012.2227470}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A grammar-guided genetic programming algorithm for multi-label classification.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n , 7831 LNCS: 217-228. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2013-EUROGP,\r\n  Title                    = {A grammar-guided genetic programming algorithm for multi-label classification},\r\n  Author                   = {Cano, A. and Zafra, A. and Gibaja, E. and Ventura, S.},\r\n  Year                     = {2013},\r\n  Pages                    = {217-228},\r\n  Volume                   = {7831 LNCS},\r\n  Booktitle                = {Proceedings of the 16th European Conference on Genetic Programming, EuroGP'13},\r\n  DOI                      = {10.1007/978-3-642-37207-0_19},\r\n  Keywords                 = {Multi-label Learning, Genetic Programming, Classification},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-37207-0_19}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An interpretable classification rule mining algorithm.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 240: 1-20. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2013-INS,\r\n  Title                    = {An interpretable classification rule mining algorithm},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2013},\r\n  Pages                    = {1-20},\r\n  Volume                   = {240},\r\n  DOI                      = {10.1016/j.ins.2013.03.038},\r\n  Keywords                 = {Classification, Evolutionary Algorithms, Classification Rules},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2013.03.038}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Parallel multi-objective Ant Programming for classification using GPUs.\n \n \n \n \n\n\n \n Cano, A.; Olmo, J.; and Ventura, S.\n\n\n \n\n\n\n Journal of Parallel and Distributed Computing, 73(6): 713-728. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"ParallelPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2013-JPDC,\r\n  Title                    = {Parallel multi-objective Ant Programming for classification using GPUs},\r\n  Author                   = {Cano, A. and Olmo, J.L. and Ventura, S.},\r\n  Journal                  = {Journal of Parallel and Distributed Computing},\r\n  Year                     = {2013},\r\n  Number                   = {6},\r\n  Pages                    = {713-728},\r\n  Volume                   = {73},\r\n  DOI                      = {10.1016/j.jpdc.2013.01.017},\r\n  Keywords                 = {GP-GPU, Ant Programming, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1016/j.jpdc.2013.01.017}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Programación Automática con Colonias de Hormigas Multi-Objetivo en GPUs.\n \n \n \n\n\n \n Cano, A.; Olmo, J.; and Ventura, S.\n\n\n \n\n\n\n In IX Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'13, pages 288–297, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2013-MAEB,\r\n  Title                    = {Programación Automática con Colonias de Hormigas Multi-Objetivo en GPUs},\r\n  Author                   = {Cano, A. and Olmo, J.L. and Ventura, S.},\r\n  Booktitle                = {IX Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'13},\r\n  Year                     = {2013},\r\n  Pages                    = {288--297},\r\n  Keywords                 = {GP-GPU, Ant Programming, Multi-objective Optimization}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Un algoritmo voraz iterativo con memoria de destrucciones tabú para el problema de las múltiples mochilas cuadráticas.\n \n \n \n\n\n \n García-Martínez, C.; Rodríguez, F. J.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13), pages 199–208, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2013,\r\n  Title                    = {{Un algoritmo voraz iterativo con memoria de destrucciones tab{\\'{u}} para el problema de las m{\\'{u}}ltiples mochilas cuadr{\\'{a}}ticas}},\r\n  Author                   = {García-Martínez, C. and Rodr{\\'{i}}guez, Francisco J. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13)},\r\n  Year                     = {2013},\r\n  Pages                    = {199--208},\r\n  Keywords                 = {Metaheuristics}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n The reference model of open distributed processing: Foundations, experience and applications.\n \n \n \n \n\n\n \n Kilov, H.; Linington, P.; Romero, J. R.; Tanaka, A.; and Vallecillo, A.\n\n\n \n\n\n\n Computer Standards and Interfaces, 35(3): 247-256. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Kilov-2013-CSI,\r\n  Title                    = {The reference model of open distributed processing: Foundations, experience and applications},\r\n  Author                   = {Kilov, H. and Linington, P.F. and Romero, J. R. and Tanaka, A. and Vallecillo, A.},\r\n  Journal                  = {Computer Standards and Interfaces},\r\n  Year                     = {2013},\r\n  Number                   = {3},\r\n  Pages                    = {247-256},\r\n  Volume                   = {35},\r\n  DOI                      = {10.1016/j.csi.2012.05.003},\r\n  Keywords                 = {Software Design \\& Development},\r\n  URL                      = {http://dx.doi.org/10.1016/j.csi.2012.05.003}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Grammar-based multi-objective algorithms for mining association rules.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Data and Knowledge Engineering, 86: 19-37. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"Grammar-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna-2013-DKE,\r\n  Title                    = {Grammar-based multi-objective algorithms for mining association rules},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Data and Knowledge Engineering},\r\n  Year                     = {2013},\r\n  Pages                    = {19-37},\r\n  Volume                   = {86},\r\n  DOI                      = {10.1016/j.datak.2013.01.002},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Multi-objective Optimization, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1016/j.datak.2013.01.002}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Discovering Subgroups by means of Genetic Programming.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 16th European Conference on Genetic Programming, of EuroGP'13, pages 121-132, Vienna, Austria, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"DiscoveringPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2013-EUROGP,\r\n  Title                    = {Discovering Subgroups by means of Genetic Programming},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 16th European Conference on Genetic Programming},\r\n  Year                     = {2013},\r\n  Address                  = {Vienna, Austria},\r\n  Pages                    = {121-132},\r\n  Series                   = {EuroGP'13},\r\n  DOI                      = {10.1007/978-3-642-37207-0_11},\r\n  Keywords                 = {Pattern Mining, Subgroup Discovery, Genetic Programming, Grammar-Based Genetic Programming, Evolutionary Algorithms},\r\n  URL                      = {http://link.springer.com/chapter/10.1007%2F978-3-642-37207-0_11}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Extracción de reglas de asociación frecuentes en bases de datos relacionales.\n \n \n \n\n\n \n Luna, J. M.; Romero, C.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In IX Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'13, pages 753-762, Madrid, España, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2013-MAEB,\r\n  Title                    = {Extracci\\'{o}n de reglas de asociaci\\'{o}n frecuentes en bases de datos relacionales},\r\n  Author                   = {Luna, J. M. and Romero, C. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {IX Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2013},\r\n  Address                  = {Madrid, Espa\\~{n}a},\r\n  Pages                    = {753-762},\r\n  Series                   = {MAEB'13},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n EDM para la detección precoz del fracaso escolar en secundaria.\n \n \n \n\n\n \n Jiménez, M.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n In VI Simposio de Teoría y Aplicaciones de Minería de Datos, of TAMIDA 2013, pages 1353-1362, Madrid, España, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2013-TAMIDA,\r\n  Title                    = {{EDM} para la detecci\\'{o}n precoz del fracaso escolar en secundaria},\r\n  Author                   = {Jim\\'{e}nez, M. and Luna, J. M. and Ventura, S.},\r\n  Booktitle                = {VI Simposio de Teor\\'{i}a y Aplicaciones de Miner\\'{i}a de Datos},\r\n  Year                     = {2013},\r\n  Address                  = {Madrid, Espa\\~{n}a},\r\n  Pages                    = {1353-1362},\r\n  Series                   = {TAMIDA 2013},\r\n  Keywords                 = {Educational Data Mining, Predicting Student Performance}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data.\n \n \n \n \n\n\n \n Márquez-Vera, C.; Cano, A.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Applied Intelligence, 38(3): 315-330. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Marquez-Vera-2013-APIN,\r\n  Title                    = {Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data},\r\n  Author                   = {Márquez-Vera, C. and Cano, A. and Romero, C. and Ventura, S.},\r\n  Journal                  = {Applied Intelligence},\r\n  Year                     = {2013},\r\n  Number                   = {3},\r\n  Pages                    = {315-330},\r\n  Volume                   = {38},\r\n  DOI                      = {10.1007/s10489-012-0374-8},\r\n  Keywords                 = {Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1007/s10489-012-0374-8}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicting school failure and dropout by using data mining techniques.\n \n \n \n \n\n\n \n Márquez-Vera, C.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Revista Iberoamericana de Tecnologias del Aprendizaje, 8(1): 7-14. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Marquez-Vera-2013-RITA,\r\n  Title                    = {Predicting school failure and dropout by using data mining techniques},\r\n  Author                   = {Márquez-Vera, C. and Romero, C. and Ventura, S.},\r\n  Journal                  = {Revista Iberoamericana de Tecnologias del Aprendizaje},\r\n  Year                     = {2013},\r\n  Number                   = {1},\r\n  Pages                    = {7-14},\r\n  Volume                   = {8},\r\n  DOI                      = {10.1109/RITA.2013.2244695},\r\n  Keywords                 = {Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1109/RITA.2013.2244695}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Mining association rules with single and multi-objective grammar guided ant programming.\n \n \n \n \n\n\n \n Olmo, J. L.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Integrated Computer-Aided Engineering, 20(3): 217-234. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"MiningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Olmo-2013-ICAE,\r\n  Title                    = {Mining association rules with single and multi-objective grammar guided ant programming},\r\n  Author                   = {Olmo, J. L. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Integrated Computer-Aided Engineering},\r\n  Year                     = {2013},\r\n  Number                   = {3},\r\n  Pages                    = {217-234},\r\n  Volume                   = {20},\r\n  DOI                      = {10.3233/ICA-130430},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Multi-objective Optimization, Bioinspired algorithms, Evolutionary Algorithms, Ant Programming, Unsupervised Learning},\r\n  URL                      = {http://dx.doi.org/10.3233/ICA-130430}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n On the use of ant programming for mining rare association rules.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the World Congress on Nature and Biologically Inspired Computing, NaBIC'13, pages 220-225, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2013-NABIC,\r\n  Title                    = {On the use of ant programming for mining rare association rules},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the World Congress on Nature and Biologically Inspired Computing, NaBIC'13},\r\n  Year                     = {2013},\r\n  Pages                    = {220-225},\r\n  DOI                      = {10.1109/NaBIC.2013.6617866},\r\n  Keywords                 = {Association Rule Mining, Ant Programming},\r\n  URL                      = {http://dx.doi.org/10.1109/NaBIC.2013.6617866}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n In Ruiz-Shulcloper, J.; and Sanniti di Baja, G., editor(s), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress (CIARP-2013), Havana, Cuba, November 20-23, 2013, Proceedings, Part II, pages 528-535, 2013. Springer Berlin Heidelberg\n \n\n\n\n
\n\n\n\n \n \n \"ReliefF-ML:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Pupo2013,\r\n  Title                    = {ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning},\r\n  Author                   = {Reyes, O. and Morell, Carlos and Ventura, S.},\r\n  Booktitle                = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress (CIARP-2013), Havana, Cuba, November 20-23, 2013, Proceedings, Part II},\r\n  Year                     = {2013},\r\n  Editor                   = {Ruiz-Shulcloper, Jos{\\'e} and Sanniti di Baja, Gabriella},\r\n  Pages                    = {528-535},\r\n  Publisher                = {Springer Berlin Heidelberg},\r\n  Keywords                 = {Multi-label Learning,Data Preprocessing,Supervised Learning},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-41827-3_66}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A Novel Component Identification Approach Using Evolutionary Programming.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 15th Genetic and Evolutionary Computation Conference, GECCO'13 Companion, pages 209-210, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2013-GECCO,\r\n  Title                    = {{A Novel Component Identification Approach Using Evolutionary Programming}},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 15th Genetic and Evolutionary Computation Conference, GECCO'13 Companion},\r\n  Year                     = {2013},\r\n  Pages                    = {209-210},\r\n  DOI                      = {10.1145/2464576.2464679},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://dx.doi.org/10.1145/2464576.2464679}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Identificación de Componentes en Arquitecturas Software Mediante Programación Evolutiva.\n \n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In XVIII Jornadas en Ingeniería del Software y Bases de Datos, JISBD'13, pages 413-426, 2013. \n \n\n\n\n
\n\n\n\n \n \n \"IdentificaciónPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2013-JISBD,\r\n  Title                    = {{Identificaci\\'on de Componentes en Arquitecturas Software Mediante Programaci\\'on Evolutiva}},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {XVIII Jornadas en Ingenier\\'ia del Software y Bases de Datos, JISBD'13},\r\n  Year                     = {2013},\r\n  Pages                    = {413-426},\r\n  ISBN                     = {978-84-695-8310-4},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms},\r\n  URL                      = {http://hdl.handle.net/11705/JISBD/2013/053}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Algoritmo de programacón evolutiva para identificación de arquitecturas software.\n \n \n \n\n\n \n Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'13, pages 892-901, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2013-MAEB,\r\n  Title                    = {Algoritmo de programac\\'on evolutiva para identificaci\\'on de arquitecturas software},\r\n  Author                   = {Ramírez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {IX Congreso Espa\\~nol sobre Metaheur\\'isticas, Algoritmos Evolutivos y Bioinspirados, MAEB'13},\r\n  Year                     = {2013},\r\n  Pages                    = {892-901},\r\n  Keywords                 = {Search-based Software Engineering, Metaheuristics, Bioinspired algorithms, Evolutionary algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Feature weighting on multi-label data through quadratic loss minimization.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n In Congreso Internacional de Matemática y Computación (COMPUMAT-2013), 2013. \n \n\n\n\n
\n\n\n\n \n \n \"FeaturePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{reyes2013quadratic,\r\n  Title                    = {Feature weighting on multi-label data through quadratic loss minimization},\r\n  Author                   = {Reyes, O. and Morell, Carlos and Ventura, S.},\r\n  Booktitle                = {Congreso Internacional de Matem{\\'a}tica y Computaci{\\'o}n (COMPUMAT-2013)},\r\n  Year                     = {2013},\r\n  Keywords                 = {Multi-label Learning,Data Preprocessing,Supervised Learning,Evolutionary Algorithms},\r\n  URL                      = {http://www.compumat.uci.cu/}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Un algoritmo voraz iterativo para el problema de la planificación sobre máquinas paralelas no relacionadas.\n \n \n \n\n\n \n Rodríguez, F. J.; García-Martínez, C.; Blum, C.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13), pages 902–911, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez2013,\r\n  Title                    = {{Un algoritmo voraz iterativo para el problema de la planificaci{\\'{o}}n sobre m{\\'{a}}quinas paralelas no relacionadas}},\r\n  Author                   = {Rodr{\\'{i}}guez, Francisco J. and García-Martínez, C. and Blum, Christian and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'13)},\r\n  Year                     = {2013},\r\n  Pages                    = {902--911},\r\n  Keywords                 = {Metaheuristics}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An artificial bee colony algorithm for the maximally diverse grouping problem.\n \n \n \n \n\n\n \n Rodriguez, F. J.; Lozano, M.; García-Martínez, C.; and González-Barrera, J. D.\n\n\n \n\n\n\n Information Sciences, 230(0): 183–196. may 2013.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Rodriguez2013183,\r\n  Title                    = {{An artificial bee colony algorithm for the maximally diverse grouping problem}},\r\n  Author                   = {Rodriguez, Francisco J. and Lozano, M. and García-Martínez, C. and Gonz{\\'{a}}lez-Barrera, Jonathan D.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2013},\r\n  Month                    = {may},\r\n  Number                   = {0},\r\n  Pages                    = {183--196},\r\n  Volume                   = {230},\r\n  DOI                      = {10.1016/j.ins.2012.12.020},\r\n  ISSN                     = {00200255},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://www.sciencedirect.com/science/article/pii/S0020025513000121}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem.\n \n \n \n \n\n\n \n Rodriguez, F. J.; Lozano, M.; Blum, C.; and García-Martínez, C.\n\n\n \n\n\n\n Computers & Operations Research, 40(7): 1829–1841. jul 2013.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{rodriguez2013igupmsp,\r\n  Title                    = {{An iterated greedy algorithm for the large-scale unrelated parallel machines scheduling problem}},\r\n  Author                   = {Rodriguez, Francisco J. and Lozano, Manuel and Blum, Christian and García-Martínez, C.},\r\n  Journal                  = {Computers {\\&} Operations Research},\r\n  Year                     = {2013},\r\n  Month                    = {jul},\r\n  Number                   = {7},\r\n  Pages                    = {1829--1841},\r\n  Volume                   = {40},\r\n  DOI                      = {10.1016/j.cor.2013.01.018},\r\n  ISSN                     = {03050548},\r\n  Keywords                 = {Metaheuristics,Scalability},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0305054813000269}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicting students' final performance from participation in on-line discussion forums.\n \n \n \n \n\n\n \n Romero, C.; López, M. I.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n Computers and Education, 68: 458-472. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2013-CAE,\r\n  Title                    = {Predicting students' final performance from participation in on-line discussion forums},\r\n  Author                   = {Romero, C. and L\\'{o}pez, M. I. and Luna, J. M. and Ventura, S.},\r\n  Journal                  = {Computers and Education},\r\n  Year                     = {2013},\r\n  Pages                    = {458-472},\r\n  Volume                   = {68},\r\n  DOI                      = {10.1016/j.compedu.2013.06.009},\r\n  Keywords                 = {Educational Data Mining, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1016/j.compedu.2013.06.009}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Web usage mining for predicting final marks of students that use Moodle courses.\n \n \n \n \n\n\n \n Romero, C.; Espejo, P.; Zafra, A.; Romero, J.; and Ventura, S.\n\n\n \n\n\n\n Computer Applications in Engineering Education, 21(1): 135-146. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"WebPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2013-CAEE,\r\n  Title                    = {Web usage mining for predicting final marks of students that use Moodle courses},\r\n  Author                   = {Romero, C. and Espejo, P.G. and Zafra, A. and Romero, J.R. and Ventura, S.},\r\n  Journal                  = {Computer Applications in Engineering Education},\r\n  Year                     = {2013},\r\n  Number                   = {1},\r\n  Pages                    = {135-146},\r\n  Volume                   = {21},\r\n  DOI                      = {10.1002/cae.20456},\r\n  Keywords                 = {Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1002/cae.20456}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A tool for the model-based specification of open distributed systems.\n \n \n \n \n\n\n \n Romero, J. R.; Jaén, J.; and Vallecillo, A.\n\n\n \n\n\n\n Computer Journal, 56(7): 793-818. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2013-CJ,\r\n  Title                    = {A tool for the model-based specification of open distributed systems},\r\n  Author                   = {Romero, J. R. and Ja\\'en, J.I. and Vallecillo, A.},\r\n  Journal                  = {Computer Journal},\r\n  Year                     = {2013},\r\n  Number                   = {7},\r\n  Pages                    = {793-818},\r\n  Volume                   = {56},\r\n  DOI                      = {10.1093/comjnl/bxs021},\r\n  Keywords                 = {Software Design \\& Development},\r\n  URL                      = {http://dx.doi.org/10.1093/comjnl/bxs021}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.\n \n \n \n \n\n\n \n Romero, C.; Zafra, A.; Luna, J. M.; and Ventura, S.\n\n\n \n\n\n\n Expert Systems, 30(2): 162-172. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"AssociationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2013-EXSY,\r\n  Title                    = {Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data},\r\n  Author                   = {Romero, C. and Zafra, A. and Luna, J. M. and Ventura, S.},\r\n  Journal                  = {Expert Systems},\r\n  Year                     = {2013},\r\n  Number                   = {2},\r\n  Pages                    = {162-172},\r\n  Volume                   = {30},\r\n  DOI                      = {10.1111/j.1468-0394.2012.00627.x},\r\n  Keywords                 = {Pattern Mining, Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1111/j.1468-0394.2012.00627.x}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Data mining in education.\n \n \n \n \n\n\n \n Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 3(1): 12-27. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"DataPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2013-WIRES,\r\n  Title                    = {Data mining in education},\r\n  Author                   = {Romero, C. and Ventura, S.},\r\n  Journal                  = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},\r\n  Year                     = {2013},\r\n  Number                   = {1},\r\n  Pages                    = {12-27},\r\n  Volume                   = {3},\r\n  DOI                      = {10.1002/widm.1075},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1002/widm.1075}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning.\n \n \n \n \n\n\n \n Zafra, A.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 222: 282-301. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"HyDR-MI:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zafra-2013-INS,\r\n  Title                    = {HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning},\r\n  Author                   = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2013},\r\n  Pages                    = {282-301},\r\n  Volume                   = {222},\r\n  DOI                      = {10.1016/j.ins.2011.01.034},\r\n  Keywords                 = {Multi-instance Learning, Feature Selection, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2011.01.034}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n DRAL: A tool for discovering relevant e-activities for learners.\n \n \n \n \n\n\n \n Zafra, A.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Knowledge and Information Systems, 36(1): 211-250. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"DRAL:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zafra-2013-KAIS,\r\n  Title                    = {DRAL: A tool for discovering relevant e-activities for learners},\r\n  Author                   = {Zafra, A. and Romero, C. and Ventura, S.},\r\n  Journal                  = {Knowledge and Information Systems},\r\n  Year                     = {2013},\r\n  Number                   = {1},\r\n  Pages                    = {211-250},\r\n  Volume                   = {36},\r\n  DOI                      = {10.1007/s10115-012-0531-8},\r\n  Keywords                 = {Multi-instance Learning, Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1007/s10115-012-0531-8}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A framework for recommendation in learning object repositories: An example of application in civil engineering.\n \n \n \n \n\n\n \n Zapata, A.; Menéndez, V.; Prieto, M.; and Romero, C.\n\n\n \n\n\n\n Advances in Engineering Software, 56: 1-14. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zapata-2013-AES,\r\n  Title                    = {A framework for recommendation in learning object repositories: An example of application in civil engineering},\r\n  Author                   = {Zapata, A. and Menéndez, V.H. and Prieto, M.E. and Romero, C.},\r\n  Journal                  = {Advances in Engineering Software},\r\n  Year                     = {2013},\r\n  Pages                    = {1-14},\r\n  Volume                   = {56},\r\n  DOI                      = {10.1016/j.advengsoft.2012.10.005},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://dx.doi.org/10.1016/j.advengsoft.2012.10.005}\r\n}\r\n\r\n
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\n  \n 2012\n \n \n (27)\n \n \n
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\n \n\n \n \n \n \n \n Modelo gravitacional para clasificación.\n \n \n \n\n\n \n Cano, A.; Luna, J. M.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'12, pages 63–70, Albacete, España, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2012-MAEB,\r\n  Title                    = {Modelo gravitacional para clasificaci\\'{o}n},\r\n  Author                   = {Cano, A. and Luna, J. M. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {VIII Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2012},\r\n  Address                  = {Albacete, Espa\\~{n}a},\r\n  Pages                    = {63--70},\r\n  Series                   = {MAEB'12},\r\n  Keywords                 = {Evolutionary Algorithms, Classification}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Speeding up the evaluation phase of GP classification algorithms on GPUs.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Soft Computing, 16(2): 187-202. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"SpeedingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Cano-2012-SOCO,\r\n  Title                    = {Speeding up the evaluation phase of GP classification algorithms on GPUs},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2012},\r\n  Number                   = {2},\r\n  Pages                    = {187-202},\r\n  Volume                   = {16},\r\n  DOI                      = {10.1007/s00500-011-0713-4},\r\n  Keywords                 = {GP-GPU, Classification, Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-011-0713-4}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A simulated annealing method based on a specialised evolutionary algorithm.\n \n \n \n \n\n\n \n García-Martínez, C.; Lozano, M.; and Rodríguez-Díaz, F.\n\n\n \n\n\n\n Applied Soft Computing, 12(2): 573–588. feb 2012.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{garcia2012saea,\r\n  Title                    = {{A simulated annealing method based on a specialised evolutionary algorithm}},\r\n  Author                   = {García-Martínez, C. and Lozano, M. and Rodr{\\'{i}}guez-D{\\'{i}}az, F.J.},\r\n  Journal                  = {Applied Soft Computing},\r\n  Year                     = {2012},\r\n  Month                    = {feb},\r\n  Number                   = {2},\r\n  Pages                    = {573--588},\r\n  Volume                   = {12},\r\n  DOI                      = {10.1016/j.asoc.2011.11.007},\r\n  ISSN                     = {15684946},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://www.sciencedirect.com/science/article/pii/S1568494611004315?{\\_}rdoc=3{\\&}{\\_}fmt=high{\\&}{\\_}origin=browse{\\&}{\\_}srch=cid(272229) AND (itemstage(S5) OR itemstage(S100) OR itemstage(S200)){\\&}{\\_}docanchor={\\&}{\\_}ct=5}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Análisis Empírico del No Free Lunch en Problemas Binarios Reales.\n \n \n \n \n\n\n \n García-Martínez, C.; Rodríguez, F.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pages 111–116, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"AnálisisPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2012,\r\n  Title                    = {{An{\\'{a}}lisis Emp{\\'{i}}rico del No Free Lunch en Problemas Binarios Reales}},\r\n  Author                   = {García-Martínez, C. and Rodr{\\'{i}}guez, F.J. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12)},\r\n  Year                     = {2012},\r\n  Pages                    = {111--116},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://simd.albacete.org/maeb2012/papers/paper{\\_}20.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems: No free lunch and real-world problems.\n \n \n \n \n\n\n \n García-Martínez, C.; Rodriguez, F.; and Lozano, M.\n\n\n \n\n\n\n Soft Computing, 16(12): 2115-2133. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"ArbitraryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Garcia-Martinez-2012-SOCO,\r\n  Title                    = {Arbitrary function optimisation with metaheuristics: No free lunch and real-world problems: No free lunch and real-world problems},\r\n  Author                   = {García-Martínez, C. and Rodriguez, F.J. and Lozano, M.},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2012},\r\n  Number                   = {12},\r\n  Pages                    = {2115-2133},\r\n  Volume                   = {16},\r\n  DOI                      = {10.1007/s00500-012-0881-x},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-012-0881-x}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n VisualJCLEC: A visual framework for evolutionary computation.\n \n \n \n \n\n\n \n Jaén, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12, pages 119-125, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"VisualJCLEC:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Jaenn-2012-ISDA,\r\n  Title                    = {VisualJCLEC: A visual framework for evolutionary computation},\r\n  Author                   = {Ja\\'en, J.I. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12},\r\n  Year                     = {2012},\r\n  Pages                    = {119-125},\r\n  DOI                      = {10.1109/ISDA.2012.6416523},\r\n  Keywords                 = {Software Design \\& Development, Metaheuristics, Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2012.6416523}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Knowledge and Information Systems, 32(1): 53-76. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"DesignPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Luna:2012,\r\n  Title                    = {Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Knowledge and Information Systems},\r\n  Year                     = {2012},\r\n  Number                   = {1},\r\n  Pages                    = {53-76},\r\n  Volume                   = {32},\r\n  DOI                      = {10.1007/s10115-011-0419-z},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://link.springer.com/article/10.1007/s10115-011-0419-z}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A genetic programming free-parameter algorithm for mining association rules.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, of ISDA'12, pages 64-69, Kochi, India, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2012-ISDA,\r\n  Title                    = {A genetic programming free-parameter algorithm for mining association rules},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 12th International Conference on Intelligent Systems Design and Applications},\r\n  Year                     = {2012},\r\n  Address                  = {Kochi, India},\r\n  Pages                    = {64-69},\r\n  Series                   = {ISDA'12},\r\n  DOI                      = {10.1109/ISDA.2012.6416514},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6416514}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Minería de reglas de asociación poco frecuentes con programación genética.\n \n \n \n\n\n \n Luna, J. M.; Olmo, J. L.; Romero, J. R.; ; and Ventura, S.\n\n\n \n\n\n\n In VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'12, pages 181-188, Albacete, España, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2012-MAEB,\r\n  Title                    = {Miner\\'{i}a de reglas de asociaci\\'{o}n poco frecuentes con programaci\\'{o}n gen\\'{e}tica},\r\n  Author                   = {Luna, J. M. and Olmo, J. L. and Romero, J. R. and and Ventura, S.},\r\n  Booktitle                = {VIII Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2012},\r\n  Address                  = {Albacete, Espa\\~{n}a},\r\n  Pages                    = {181-188},\r\n  Series                   = {MAEB'12},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-objective ant programming for mining classification rules.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 15th European Conference on Genetic Programming, EuroGP'12, volume 7244 LNCS, pages 146-157, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Multi-objectivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2012-EUROGP,\r\n  Title                    = {Multi-objective ant programming for mining classification rules},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 15th European Conference on Genetic Programming, EuroGP'12},\r\n  Year                     = {2012},\r\n  Pages                    = {146-157},\r\n  Volume                   = {7244 LNCS},\r\n  DOI                      = {10.1007/978-3-642-29139-5_13},\r\n  Keywords                 = {Classification, Ant Programming, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-29139-5_13}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Binary and multiclass imbalanced classification using multi-objective ant programming.\n \n \n \n \n\n\n \n Olmo, J. L.; Cano, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12, pages 70-76, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"BinaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2012-ISDA,\r\n  Title                    = {Binary and multiclass imbalanced classification using multi-objective ant programming},\r\n  Author                   = {Olmo, J. L. and Cano, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12},\r\n  Year                     = {2012},\r\n  Pages                    = {70-76},\r\n  DOI                      = {10.1109/ISDA.2012.6416515},\r\n  Keywords                 = {Ant Programming, Classification, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2012.6416515}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Programación con Hormigas Multi-Objetivo para la Extracción de Reglas de Clasificación.\n \n \n \n\n\n \n Olmo, J. L.; Cano, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'12, pages 219–226, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2012-MAEB,\r\n  Title                    = {Programación con Hormigas Multi-Objetivo para la Extracción de Reglas de Clasificación},\r\n  Author                   = {Olmo, J. L. and Cano, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, MAEB'12},\r\n  Year                     = {2012},\r\n  Pages                    = {219--226},\r\n  Keywords                 = {Ant Programming, Classification, Multi-objective Optimization}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Classification rule mining using ant programming guided by grammar with multiple Pareto fronts.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Soft Computing, 16(12): 2143-2163. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Olmo-2012-SOCO,\r\n  Title                    = {Classification rule mining using ant programming guided by grammar with multiple Pareto fronts},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2012},\r\n  Number                   = {12},\r\n  Pages                    = {2143-2163},\r\n  Volume                   = {16},\r\n  DOI                      = {10.1007/s00500-012-0883-8},\r\n  Keywords                 = {Classification, Ant Programming, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-012-0883-8}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n Detección de intrusos con reglas de asociación: un estudio preliminar.\n \n \n \n\n\n \n Ramírez, A.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In VIII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB'12, pages 235-242, Albacete, España, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ramirez-2012-MAEB,\r\n  Title                    = {Detecci\\'{o}n de intrusos con reglas de asociaci\\'{o}n: un estudio preliminar},\r\n  Author                   = {Ramírez, A. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {VIII Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2012},\r\n  Address                  = {Albacete, Espa\\~{n}a},\r\n  Pages                    = {235-242},\r\n  Series                   = {MAEB'12},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Learning similarity metric to improve the performance of lazy multi-label ranking algorithms.\n \n \n \n \n\n\n \n Reyes, O.; Morell, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12, pages 246-251, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"LearningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Reyes-2012-ISDA,\r\n  Title                    = {Learning similarity metric to improve the performance of lazy multi-label ranking algorithms},\r\n  Author                   = {Reyes, O. and Morell, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, ISDA'12},\r\n  Year                     = {2012},\r\n  Pages                    = {246-251},\r\n  DOI                      = {10.1109/ISDA.2012.6416545},\r\n  Keywords                 = {Multi-label Learning,Data Preprocessing,Supervised Learning,Evolutionary Algorithms},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2012.6416545}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times.\n \n \n \n \n\n\n \n Rodriguez, F. J.; Blum, C.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n Annals of Operations Research, 201(1): 383–401. dec 2012.\n \n\n\n\n
\n\n\n\n \n \n \"GRASPPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Rodriguez2012,\r\n  Title                    = {{GRASP with path-relinking for the non-identical parallel machine scheduling problem with minimising total weighted completion times}},\r\n  Author                   = {Rodriguez, F. J. and Blum, C. and García-Martínez, C. and Lozano, M.},\r\n  Journal                  = {Annals of Operations Research},\r\n  Year                     = {2012},\r\n  Month                    = {dec},\r\n  Number                   = {1},\r\n  Pages                    = {383--401},\r\n  Volume                   = {201},\r\n  DOI                      = {10.1007/s10479-012-1164-8},\r\n  ISSN                     = {0254-5330},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://link.springer.com/10.1007/s10479-012-1164-8}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test.\n \n \n \n \n\n\n \n Rodriguez, F. J; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n IEEE Transactions on Evolutionary Computation, 16(6): 787–800. dec 2012.\n \n\n\n\n
\n\n\n\n \n \n \"HybridPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Rodriguez2012a,\r\n  Title                    = {{Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test}},\r\n  Author                   = {Rodriguez, Francisco J and García-Martínez, C. and Lozano, Manuel},\r\n  Journal                  = {IEEE Transactions on Evolutionary Computation},\r\n  Year                     = {2012},\r\n  Month                    = {dec},\r\n  Number                   = {6},\r\n  Pages                    = {787--800},\r\n  Volume                   = {16},\r\n  DOI                      = {10.1109/TEVC.2012.2182773},\r\n  ISSN                     = {1089-778X},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/document/6148272/}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem.\n \n \n \n \n\n\n \n Rodríguez, F. J.; García-Martínez, C.; Blum, C.; and Lozano, M.\n\n\n \n\n\n\n In Parallel Problem Solving from Nature (PPSN'12), pages 143–152, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez2012b,\r\n  Title                    = {{An Artificial Bee Colony Algorithm for the Unrelated Parallel Machines Scheduling Problem}},\r\n  Author                   = {Rodr{\\'{i}}guez, Francisco J. and García-Martínez, C. and Blum, Christian and Lozano, Manuel},\r\n  Booktitle                = {Parallel Problem Solving from Nature (PPSN'12)},\r\n  Year                     = {2012},\r\n  Pages                    = {143--152},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://link.springer.com/chapter/10.1007{\\%}2F978-3-642-32964-7{\\_}15}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Iterated Greedy Algorithms for the Maximal Covering Location Problem.\n \n \n \n \n\n\n \n Rodríguez, F. J.; Blum, C.; Lozano, M.; and García-Martínez, C.\n\n\n \n\n\n\n In European Conference on Evolutionary Computation in Combinatorial Optimization, pages 172–181, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"IteratedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez2012c,\r\n  Title                    = {{Iterated Greedy Algorithms for the Maximal Covering Location Problem}},\r\n  Author                   = {Rodr{\\'{i}}guez, Francisco J. and Blum, Christian and Lozano, Manuel and García-Martínez, C.},\r\n  Booktitle                = {European Conference on Evolutionary Computation in Combinatorial Optimization},\r\n  Year                     = {2012},\r\n  Pages                    = {172--181},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://link.springer.com/chapter/10.1007{\\%}2F978-3-642-29124-1{\\_}15}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An artificial bee colony algorithm for the unrelated parallel machines scheduling problem.\n \n \n \n \n\n\n \n Rodriguez, F.; García-Martínez, C.; Blum, C.; and Lozano, M.\n\n\n \n\n\n\n In Proceedings of the 12th international conference on Parallel Problem Solving from Nature, volume 7492 LNCS, pages 143-152, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez-2012-PPSN,\r\n  Title                    = {An artificial bee colony algorithm for the unrelated parallel machines scheduling problem},\r\n  Author                   = {Rodriguez, F.J. and García-Martínez, C. and Blum, C. and Lozano, M.},\r\n  Booktitle                = {Proceedings of the 12th international conference on Parallel Problem Solving from Nature},\r\n  Year                     = {2012},\r\n  Number                   = {PART 2},\r\n  Pages                    = {143-152},\r\n  Volume                   = {7492 LNCS},\r\n  DOI                      = {10.1007/978-3-642-32964-7_15},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-32964-7_15}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Metaheurísticas Híbridas combinando algoritmos evolutivos y enfriamiento simulado: taxonomía y estudio comparativo y de sinergia.\n \n \n \n \n\n\n \n Rodríguez-Díaz, F. J.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12), pages 243–250, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"MetaheurísticasPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Rodriguez-Diaz2012,\r\n  Title                    = {{Metaheur{\\'{i}}sticas H{\\'{i}}bridas combinando algoritmos evolutivos y enfriamiento simulado: taxonom{\\'{i}}a y estudio comparativo y de sinergia}},\r\n  Author                   = {Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'12)},\r\n  Year                     = {2012},\r\n  Pages                    = {243--250},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://simd.albacete.org/maeb2012/papers/paper{\\_}18.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Classification via clustering for predicting final marks based on student participation in forums.\n \n \n \n \n\n\n \n López, M. I.; Luna, J. M.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Educational Data Mining, of EDM 2012, pages 148-151, Chania, Greece, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"ClassificationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Romero-2012-EDM-A,\r\n  Title                    = {Classification via clustering for predicting final marks based on student participation in forums},\r\n  Author                   = {L\\'{o}pez, M. I. and Luna, J. M. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Educational Data Mining},\r\n  Year                     = {2012},\r\n  Address                  = {Chania, Greece},\r\n  Pages                    = {148-151},\r\n  Series                   = {EDM 2012},\r\n  Keywords                 = {Educational Data Mining, Predicting Student Performance},\r\n  URL                      = {http://educationaldatamining.org/EDM2012/uploads/procs/Short_Papers/edm2012_short_3.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Meta-learning approach for automatic parameter tuning: A case study with educational datasets.\n \n \n \n \n\n\n \n Molina, M. M.; Luna, J. M.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Educational Data Mining, of EDM 2012, pages 180-183, Chania, Greece, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"Meta-learningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Romero-2012-EDM-B,\r\n  Title                    = {Meta-learning approach for automatic parameter tuning: A case study with educational datasets},\r\n  Author                   = {Molina, M. M. and Luna, J. M. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Educational Data Mining},\r\n  Year                     = {2012},\r\n  Address                  = {Chania, Greece},\r\n  Pages                    = {180-183},\r\n  Series                   = {EDM 2012},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {http://educationaldatamining.org/EDM2012/uploads/procs/Short_Papers/edm2012_short_5.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Genetic Programming: New Approaches and Successful Applications.\n \n \n \n \n\n\n \n Ventura, S.\n\n\n \n\n\n\n InTech, 1st edition, 2012.\n \n\n\n\n
\n\n\n\n \n \n \"GeneticPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Book{Ventura2012,\r\n  Title                    = { Genetic Programming: New Approaches and Successful Applications},\r\n  Author                   = {Ventura, S.},\r\n  Publisher                = {InTech},\r\n  Year                     = {2012},\r\n  Edition                  = {1st},\r\n  ISBN                     = {978-953-51-0809-2},\r\n  Keywords                 = {Genetic Programming},\r\n  URL                      = {http://www.intechopen.com/books/genetic-programming-new-approaches-and-successful-applications}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-instance genetic programming for predicting student performance in web based educational environments.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Applied Soft Computing Journal, 12(8): 2693-2706. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-instancePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Zafra-2012-ASOC,\r\n  Title                    = {Multi-instance genetic programming for predicting student performance in web based educational environments},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Journal                  = {Applied Soft Computing Journal},\r\n  Year                     = {2012},\r\n  Number                   = {8},\r\n  Pages                    = {2693-2706},\r\n  Volume                   = {12},\r\n  DOI                      = {10.1016/j.asoc.2012.03.054},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1016/j.asoc.2012.03.054}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n ReliefF-MI: An extension of ReliefF to multiple instance learning.\n \n \n \n \n\n\n \n Zafra, A.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n Neurocomputing, 75: 210-218. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"ReliefF-MI:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@Article{Zafra-2012-NEUCOM,\r\n  Title                    = {ReliefF-MI: An extension of ReliefF to multiple instance learning},\r\n  Author                   = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},\r\n  Journal                  = {Neurocomputing},\r\n  Year                     = {2012},\r\n  Pages                    = {210-218},\r\n  Volume                   = {75},\r\n  DOI                      = {10.1016/j.neucom.2011.03.052},\r\n  Keywords                 = {Multi-instance Learning, Feature Selection},\r\n  URL                      = {http://dx.doi.org/10.1016/j.neucom.2011.03.052}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Soft Computing, 16(6): 955-977. 2012.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-objectivePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Zafra-2012-SOCO,\r\n  Title                    = {Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2012},\r\n  Number                   = {6},\r\n  Pages                    = {955-977},\r\n  Volume                   = {16},\r\n  DOI                      = {10.1007/s00500-011-0794-0},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-011-0794-0}\r\n}\r\n\r\n
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\n  \n 2011\n \n \n (21)\n \n \n
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\n \n\n \n \n \n \n \n \n JCLEC meets WEKA!.\n \n \n \n \n\n\n \n Cano, A.; Luna, J. M.; Olmo, J. L.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, of HAIS'11, pages 388-395, Wroclaw, Poland, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"JCLECPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Cano-2011-HAIS,\r\n  Title                    = {JCLEC meets WEKA!},\r\n  Author                   = {Cano, A. and Luna, J. M. and Olmo, J. L. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems},\r\n  Year                     = {2011},\r\n  Address                  = {Wroclaw, Poland},\r\n  Pages                    = {388-395},\r\n  Series                   = {HAIS'11},\r\n  DOI                      = {10.1007/978-3-642-21219-2_49},\r\n  Keywords                 = {Evolutionary Algorithms, Classification},\r\n  URL                      = {http://link.springer.com/chapter/10.1007%2F978-3-642-21219-2_49}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A parallel genetic programming algorithm for classification.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS'11, volume 6678, pages 172-181, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2011-HAIS_2,\r\n  Title                    = {A parallel genetic programming algorithm for classification},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems, HAIS'11},\r\n  Year                     = {2011},\r\n  Number                   = {1},\r\n  Pages                    = {172-181},\r\n  Volume                   = {6678},\r\n  DOI                      = {10.1007/978-3-642-21219-2-23},\r\n  Keywords                 = {GP-GPU, Classification, Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-21219-2-23}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n An EP algorithm for learning highly interpretable classifiers.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA'11, pages 325-330, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2011-ISDA,\r\n  Title                    = {An EP algorithm for learning highly interpretable classifiers},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA'11},\r\n  Year                     = {2011},\r\n  Pages                    = {325-330},\r\n  DOI                      = {10.1109/ISDA.2011.6121676},\r\n  Keywords                 = {Classification, Genetic Programming, Classification Rules},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2011.6121676}\r\n}\r\n\r\n
\n
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\n\n\n
\n \n\n \n \n \n \n \n \n Subgroup discovery in an e-learning usage study based on Moodle.\n \n \n \n \n\n\n \n Carmona, C.; González, P.; Del Jesus, M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11, pages 446-451, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"SubgroupPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Carmona-2011-NWESP,\r\n  Title                    = {Subgroup discovery in an e-learning usage study based on Moodle},\r\n  Author                   = {Carmona, C.J. and González, P. and Del Jesus, M.J. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11},\r\n  Year                     = {2011},\r\n  Pages                    = {446-451},\r\n  DOI                      = {10.1109/NWeSP.2011.6088221},\r\n  Keywords                 = {Educational Data Mining, Subgroup Discovery},\r\n  URL                      = {http://dx.doi.org/10.1109/NWeSP.2011.6088221}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n A Gene Expression Programming Algorithm for Multi-Label Classification.\n \n \n \n \n\n\n \n Ávila-Jiménez, J. L.; Gibaja, E.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Multiple-Valued Logic and Soft Computing, 17(2-3): 183–206. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/mvl/Avila-JimenezGZV11,\r\n  Title                    = {A Gene Expression Programming Algorithm for Multi-Label Classification},\r\n  Author                   = {Jos{\\'{e}} Luis {\\'{A}}vila{-}Jim{\\'{e}}nez and E. Gibaja and A. Zafra and S. Ventura},\r\n  Journal                  = {Multiple-Valued Logic and Soft Computing},\r\n  Year                     = {2011},\r\n  Number                   = {2-3},\r\n  Pages                    = {183--206},\r\n  Volume                   = {17},\r\n  Keywords                 = {Multi-label Learning, Classification, Discriminant Functions, Gene Expression Programming (GEP)},\r\n  Timestamp                = {Mon, 04 Jul 2011 08:41:22 +0200},\r\n  URL                      = {http://www.oldcitypublishing.com/MVLSC/MVLSCabstracts/MVLSC17.2-3abstracts/MVLSCv17n2-3p183-206Avila.html}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n A collaborative educational association rule mining tool.\n \n \n \n \n\n\n \n García, E.; Romero, C.; Ventura, S.; and De Castro, C.\n\n\n \n\n\n\n Internet and Higher Education, 14(2): 77-88. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Garcia-2011-IHE,\r\n  Title                    = {A collaborative educational association rule mining tool},\r\n  Author                   = {García, E. and Romero, C. and Ventura, S. and De Castro, C.},\r\n  Journal                  = {Internet and Higher Education},\r\n  Year                     = {2011},\r\n  Number                   = {2},\r\n  Pages                    = {77-88},\r\n  Volume                   = {14},\r\n  DOI                      = {10.1016/j.iheduc.2010.07.006},\r\n  Keywords                 = {Educational Data Mining,Association Rule Mining},\r\n  URL                      = {http://dx.doi.org/10.1016/j.iheduc.2010.07.006}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation.\n \n \n \n \n\n\n \n García-Martínez, C.; Rodríguez, F. J.; and Lozano, M.\n\n\n \n\n\n\n Soft Computing, 15(11): 2109–2126. nov 2011.\n \n\n\n\n
\n\n\n\n \n \n \"RolePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Garcia-Martinez2011,\r\n  Title                    = {{Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation}},\r\n  Author                   = {García-Martínez, C. and Rodr{\\'{i}}guez, Francisco J. and Lozano, Manuel},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2011},\r\n  Month                    = {nov},\r\n  Number                   = {11},\r\n  Pages                    = {2109--2126},\r\n  Volume                   = {15},\r\n  DOI                      = {10.1007/s00500-010-0641-8},\r\n  ISSN                     = {1432-7643},\r\n  Keywords                 = {Metaheuristics,Evolutionary Algorithms,Scalability},\r\n  URL                      = {http://link.springer.com/10.1007/s00500-010-0641-8}\r\n}\r\n\r\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Analysing the significance of no free lunch theorems on the set of real-world binary problems.\n \n \n \n \n\n\n \n García-Martínez, C.; Rodríguez, F. J.; and Lozano, M.\n\n\n \n\n\n\n In International Conference on Intelligent Systems Design and Applications (ISDA'11), pages 344–349, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"AnalysingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2011a,\r\n  Title                    = {{Analysing the significance of no free lunch theorems on the set of real-world binary problems}},\r\n  Author                   = {García-Martínez, C. and Rodr{\\'{i}}guez, Francisco J. and Lozano, Manuel},\r\n  Booktitle                = {International Conference on Intelligent Systems Design and Applications (ISDA'11)},\r\n  Year                     = {2011},\r\n  Pages                    = {344--349},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/document/6121679/}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n \n Evaluating the application of timesheet management systems to quantify the students' workload in higher education centres.\n \n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In International Technology, Education and Development Conference (INTED'11), pages 1454–1463, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2011b,\r\n  Title                    = {{Evaluating the application of timesheet management systems to quantify the students' workload in higher education centres}},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {International Technology, Education and Development Conference (INTED'11)},\r\n  Year                     = {2011},\r\n  Pages                    = {1454--1463},\r\n  Keywords                 = {Predicting Student Performance},\r\n  URL                      = {https://library.iated.org/view/GARCIAMARTINEZ2011EVA}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Self-evaluation first ECTS course in a programming subject.\n \n \n \n \n\n\n \n Gibaja, E.; Zafra, A.; Luque, M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11, pages 416-420, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"Self-evaluationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Gibaja-2011-NWESP,\r\n  Title                    = {Self-evaluation first ECTS course in a programming subject},\r\n  Author                   = {Gibaja, E. and Zafra, A. and Luque, M. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11},\r\n  Year                     = {2011},\r\n  Pages                    = {416-420},\r\n  DOI                      = {10.1109/NWeSP.2011.6088215},\r\n  Keywords                 = {Other},\r\n  URL                      = {http://dx.doi.org/10.1109/NWeSP.2011.6088215}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Iterated greedy for the maximum diversity problem.\n \n \n \n \n\n\n \n Lozano, M; Molina, D; and García-Martínez, C.\n\n\n \n\n\n\n European Journal of Operational Research, 214(1): 31–38. oct 2011.\n \n\n\n\n
\n\n\n\n \n \n \"IteratedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2011,\r\n  Title                    = {{Iterated greedy for the maximum diversity problem}},\r\n  Author                   = {Lozano, M and Molina, D and García-Martínez, C.},\r\n  Journal                  = {European Journal of Operational Research},\r\n  Year                     = {2011},\r\n  Month                    = {oct},\r\n  Number                   = {1},\r\n  Pages                    = {31--38},\r\n  Volume                   = {214},\r\n  DOI                      = {10.1016/j.ejor.2011.04.018},\r\n  ISSN                     = {03772217},\r\n  Keywords                 = {Metaheuristics},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0377221711003626}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Mining and Representing Rare Association Rules through the Use of Genetic Programming.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 3rd World Congress on Nature and Biologically Inspired Computing, of NaBIC 2011, pages 86-91, Salamanca, Spain, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"MiningPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2011-NABIC,\r\n  Title                    = {Mining and Representing Rare Association Rules through the Use of Genetic Programming},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 3rd World Congress on Nature and Biologically Inspired Computing},\r\n  Year                     = {2011},\r\n  Address                  = {Salamanca, Spain},\r\n  Pages                    = {86-91},\r\n  Series                   = {NaBIC 2011},\r\n  DOI                      = {10.1109/NaBIC.2011.6089422},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6089422}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A similarity-based approach to enhance learning objects management systems.\n \n \n \n \n\n\n \n Menendez-Dominguez, V.; Zapata, A.; Prieto-Mendez, M.; Romero, C.; and Serrano-Guerrero, J.\n\n\n \n\n\n\n In Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA'11, pages 996-1001, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Menendez-Dominguez-2011-ISDA,\r\n  Title                    = {A similarity-based approach to enhance learning objects management systems},\r\n  Author                   = {Menendez-Dominguez, V.H. and Zapata, A. and Prieto-Mendez, M.E. and Romero, C. and Serrano-Guerrero, J.},\r\n  Booktitle                = {Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA'11},\r\n  Year                     = {2011},\r\n  Pages                    = {996-1001},\r\n  DOI                      = {10.1109/ISDA.2011.6121788},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2011.6121788}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Using ant programming guided by grammar for building rule-based classifiers.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(6): 1585-1599. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Olmo-2011-CYB,\r\n  Title                    = {Using ant programming guided by grammar for building rule-based classifiers},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics},\r\n  Year                     = {2011},\r\n  Number                   = {6},\r\n  Pages                    = {1585-1599},\r\n  Volume                   = {41},\r\n  DOI                      = {10.1109/TSMCB.2011.2157681},\r\n  Keywords                 = {Classification, Ant Programming, Classification Rules},\r\n  URL                      = {http://dx.doi.org/10.1109/TSMCB.2011.2157681}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Association Rule Mining using a Multi-Objective Grammar-Based Ant Programming Algorithm.\n \n \n \n \n\n\n \n Olmo, J. L.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, of ISDA'11, pages 971-977, Cordoba, Spain, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"AssociationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2011-ISDA,\r\n  Title                    = {Association Rule Mining using a Multi-Objective Grammar-Based Ant Programming Algorithm},\r\n  Author                   = {Olmo, J. L. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 11th International Conference on Intelligent Systems Design and Applications},\r\n  Year                     = {2011},\r\n  Address                  = {Cordoba, Spain},\r\n  Pages                    = {971-977},\r\n  Series                   = {ISDA'11},\r\n  DOI                      = {10.1109/ISDA.2011.6121784},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Multi-objective Optimization, Evolutionary Algorithms, Bioinspired algorithms, Unsupervised Learning},\r\n  URL                      = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6121784}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A java desktop tool for mining moodle data.\n \n \n \n \n\n\n \n Pedraza-Perez, R.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 4th International Conference on Educational Data Mining, EDM'11, pages 319-320, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Pedraza-Perez-2011-EDM,\r\n  Title                    = {A java desktop tool for mining moodle data},\r\n  Author                   = {Pedraza-Perez, R. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 4th International Conference on Educational Data Mining, EDM'11},\r\n  Year                     = {2011},\r\n  Pages                    = {319-320},\r\n  Keywords                 = {Educational Data Mining,Predicting Student Performance},\r\n  URL                      = {http://educationaldatamining.org/EDM2011/wp-content/uploads/proc/edm2011_poster3_Pedraza-Perez.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n RM-Tool: A framework for discovering and evaluating association rules.\n \n \n \n \n\n\n \n Romero, C.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n Advances in Engineering Software, 42(8): 566-576. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"RM-Tool:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2011-AES,\r\n  Title                    = {RM-Tool: A framework for discovering and evaluating association rules},\r\n  Author                   = {Romero, C. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Journal                  = {Advances in Engineering Software},\r\n  Year                     = {2011},\r\n  Number                   = {8},\r\n  Pages                    = {566-576},\r\n  Volume                   = {42},\r\n  DOI                      = {10.1016/j.advengsoft.2011.04.005},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Software Design \\& Development},\r\n  URL                      = {http://dx.doi.org/10.1016/j.advengsoft.2011.04.005}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multiple instance learning with multiple objective genetic programming for web mining.\n \n \n \n \n\n\n \n Zafra, A.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n Applied Soft Computing Journal, 11(1): 93-102. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"MultiplePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zafra-2011-ASOC,\r\n  Title                    = {Multiple instance learning with multiple objective genetic programming for web mining},\r\n  Author                   = {Zafra, A. and Gibaja, E. and Ventura, S.},\r\n  Journal                  = {Applied Soft Computing Journal},\r\n  Year                     = {2011},\r\n  Number                   = {1},\r\n  Pages                    = {93-102},\r\n  Volume                   = {11},\r\n  DOI                      = {10.1016/j.asoc.2009.10.021},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1016/j.asoc.2009.10.021}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multiple instance learning for classifying students in learning management systems.\n \n \n \n \n\n\n \n Zafra, A.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n Expert Systems with Applications, 38(12): 15020-15031. 2011.\n \n\n\n\n
\n\n\n\n \n \n \"MultiplePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zafra-2011-ESWA,\r\n  Title                    = {Multiple instance learning for classifying students in learning management systems},\r\n  Author                   = {Zafra, A. and Romero, C. and Ventura, S.},\r\n  Journal                  = {Expert Systems with Applications},\r\n  Year                     = {2011},\r\n  Number                   = {12},\r\n  Pages                    = {15020-15031},\r\n  Volume                   = {38},\r\n  DOI                      = {10.1016/j.eswa.2011.05.044},\r\n  Keywords                 = {Multi-instance Learning, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1016/j.eswa.2011.05.044}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An evaluation of the effectiveness of e-learning system as support for traditional classes.\n \n \n \n \n\n\n \n Zafra, A.; Gibaja, E.; Luque, M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11, pages 431-435, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zafra-2011-NWESP,\r\n  Title                    = {An evaluation of the effectiveness of e-learning system as support for traditional classes},\r\n  Author                   = {Zafra, A. and Gibaja, E. and Luque, M. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 7th International Conference on Next Generation Web Services Practices, NWeSP'11},\r\n  Year                     = {2011},\r\n  Pages                    = {431-435},\r\n  DOI                      = {10.1109/NWeSP.2011.6088218},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1109/NWeSP.2011.6088218}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Using data mining in a recommender system to search for learning objects in repositories.\n \n \n \n \n\n\n \n Zapata-Gonzalez, A.; Menendez, V.; Prieto-Méndez, M.; and Romero, C.\n\n\n \n\n\n\n In Proceedings of the 4th International Conference on Educational Data Mining, EDM'11, pages 321-322, 2011. \n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zapata-Gonzalez-2011-EDM,\r\n  Title                    = {Using data mining in a recommender system to search for learning objects in repositories},\r\n  Author                   = {Zapata-Gonzalez, A. and Menendez, V.H. and Prieto-Méndez, M.E. and Romero, C.},\r\n  Booktitle                = {Proceedings of the 4th International Conference on Educational Data Mining, EDM'11},\r\n  Year                     = {2011},\r\n  Pages                    = {321-322},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://educationaldatamining.org/EDM2011/wp-content/uploads/proc/edm2011_poster4_Zapata-Gonzalez.pdf}\r\n}\r\n\r\n
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\n  \n 2010\n \n \n (32)\n \n \n
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\n \n\n \n \n \n \n \n \n Mining Rare Association Rules from e-Learning Data.\n \n \n \n \n\n\n \n Romero, C.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 3rd International Conference on Educational Data Mining, of EDM 2010, pages 171–180, Pittsburgh, PA, USA, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"MiningPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{2010-EDM-RARE,\r\n  Title                    = {Mining Rare Association Rules from e-Learning Data},\r\n  Author                   = {Romero, C. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 3rd International Conference on Educational Data Mining},\r\n  Year                     = {2010},\r\n  Address                  = {Pittsburgh, PA, USA},\r\n  Pages                    = {171--180},\r\n  Series                   = {EDM 2010},\r\n  Keywords                 = {Educational Data Mining, Pattern Mining, Association Rule Mining, Unsupervised Learning},\r\n  URL                      = {http://educationaldatamining.org/EDM2010/uploads/proc/edm2010_submission_14.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An intruder detection approach based on infrequent rating pattern mining.\n \n \n \n \n\n\n \n Luna, J. M.; Ramírez, A.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, of ISDA 2010, pages 682–688, Cairo, Egypt, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{2010-ISDA-Intruder,\r\n  Title                    = {An intruder detection approach based on infrequent rating pattern mining},\r\n  Author                   = {Luna, J. M. and Ram\\'{i}rez, A. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 10th International Conference on Intelligent Systems Design and Applications},\r\n  Year                     = {2010},\r\n  Address                  = {Cairo, Egypt},\r\n  Pages                    = {682--688},\r\n  Series                   = {ISDA 2010},\r\n  DOI                      = {10.1109/ISDA.2010.5687184},\r\n  Keywords                 = {Pattern Mining},\r\n  URL                      = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5687184}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Introduction to the experimental design in the data mining tool KEEL.\n \n \n \n \n\n\n \n Alcalá-Fdez, J.; Robles, I.; Herrera, F.; García, S.; del Jesus, M.; Sánchez, L.; Bernadó-Mansilla, E.; Peregrín, A.; and Ventura, S.\n\n\n \n\n\n\n Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies,1-25. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"IntroductionPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Alcala-Fdez-2010-ISCEDM,\r\n  Title                    = {Introduction to the experimental design in the data mining tool KEEL},\r\n  Author                   = {Alcalá-Fdez, J. and Robles, I. and Herrera, F. and García, S. and del Jesus, M.J. and Sánchez, L. and Bernadó-Mansilla, E. and Peregrín, A. and Ventura, S.},\r\n  Journal                  = {Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies},\r\n  Year                     = {2010},\r\n  Pages                    = {1-25},\r\n  DOI                      = {10.4018/978-1-61520-757-2.ch001},\r\n  Keywords                 = {Data Mining Software},\r\n  URL                      = {http://dx.doi.org/10.4018/978-1-61520-757-2.ch001}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Evolving multi-label classification rules with gene expression programming: a preliminary study.\n \n \n \n\n\n \n Ávila-Jiménez, J. L.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n In International Conference on Hybrid Artificial Intelligence Systems, pages 9–16, 2010. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{avila2010evolving,\r\n  Title                    = {Evolving multi-label classification rules with gene expression programming: a preliminary study},\r\n  Author                   = {{\\'A}vila-Jim{\\'e}nez, Jos{\\'e} Luis and Gibaja, E. and Ventura, S.},\r\n  Booktitle                = {International Conference on Hybrid Artificial Intelligence Systems},\r\n  Year                     = {2010},\r\n  Organization             = {Springer},\r\n  Pages                    = {9--16},\r\n  Keywords                 = {Multi-label Learning, Classification, Classification Rules, Gene Expression Programming (GEP)}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Speeding Up Evolutionary Learning Algorithms using GPUs.\n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In XV Congreso Español sobre Tecnologías y Lógica Fuzzy, ESTYLF'10, pages 229–234, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2010-ESTYLF,\r\n  Title                    = {Speeding Up Evolutionary Learning Algorithms using GPUs},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {XV Congreso Español sobre Tecnologías y Lógica Fuzzy, ESTYLF'10},\r\n  Year                     = {2010},\r\n  Pages                    = {229--234},\r\n  Keywords                 = {GP-GPU, Evolutionary Algorithms, Scalability}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Solving classification problems using genetic programming algorithms on GPUs.\n \n \n \n \n\n\n \n Cano, A.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10, volume 6077 LNAI, pages 17-26, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"SolvingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Cano-2010-HAIS,\r\n  Title                    = {Solving classification problems using genetic programming algorithms on GPUs},\r\n  Author                   = {Cano, A. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10},\r\n  Year                     = {2010},\r\n  Number                   = {PART 2},\r\n  Pages                    = {17-26},\r\n  Volume                   = {6077 LNAI},\r\n  DOI                      = {10.1007/978-3-642-13803-4_3},\r\n  Keywords                 = {GP-GPU, Classification, Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-13803-4_3}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evolutionary algorithms for subgroup discovery applied to e-learning data.\n \n \n \n \n\n\n \n Carmona, C.; González, P.; Del Jesus, M.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In pages 983-990, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Carmona-2010-EDUCON,\r\n  Title                    = {Evolutionary algorithms for subgroup discovery applied to e-learning data},\r\n  Author                   = {Carmona, C.J. and González, P. and Del Jesus, M.J. and Romero, C. and Ventura, S.},\r\n  Year                     = {2010},\r\n  Pages                    = {983-990},\r\n  DOI                      = {10.1109/EDUCON.2010.5492470},\r\n  Journal                  = {Proceedings of the IEEE Education Engineering Conference, EDUCON'10},\r\n  Keywords                 = {Educational Data Mining,Association Rule Mining},\r\n  URL                      = {http://dx.doi.org/10.1109/EDUCON.2010.5492470}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A survey on the application of genetic programming to classification.\n \n \n \n \n\n\n \n Espejo, P.; Ventura, S.; and Herrera, F.\n\n\n \n\n\n\n IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 40(2): 121-144. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Espejo-2010-CYB,\r\n  Title                    = {A survey on the application of genetic programming to classification},\r\n  Author                   = {Espejo, P.G. and Ventura, S. and Herrera, F.},\r\n  Journal                  = {IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews},\r\n  Year                     = {2010},\r\n  Number                   = {2},\r\n  Pages                    = {121-144},\r\n  Volume                   = {40},\r\n  DOI                      = {10.1109/TSMCC.2009.2033566},\r\n  Keywords                 = {Genetic Programming, Classification},\r\n  URL                      = {http://dx.doi.org/10.1109/TSMCC.2009.2033566}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the IEEE Congress on Evolutionary Computation, of IEEE CEC 2010, pages 2586–2593, Barcelona, Spain, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"G3PARM:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{G3PARM:2010,\r\n  Title                    = {{G3PARM}: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the {IEEE} Congress on Evolutionary Computation},\r\n  Year                     = {2010},\r\n  Address                  = {Barcelona, Spain},\r\n  Pages                    = {2586--2593},\r\n  Series                   = {IEEE CEC 2010},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5586504}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics.\n \n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n Soft Computing, 14(10): 1117–1139. aug 2010.\n \n\n\n\n
\n\n\n\n \n \n \"EvaluatingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{garcia2010evaluating,\r\n  Title                    = {{Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics}},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2010},\r\n  Month                    = {aug},\r\n  Number                   = {10},\r\n  Pages                    = {1117--1139},\r\n  Volume                   = {14},\r\n  DOI                      = {10.1007/s00500-009-0506-1},\r\n  ISSN                     = {1432-7643},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  Publisher                = {Springer-Verlag},\r\n  URL                      = {http://link.springer.com/10.1007/s00500-009-0506-1}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n P System Model Optimisation by Means of Evolutionary Based Search Algorithms.\n \n \n \n \n\n\n \n García-Martínez, C.; Lima, C.; Twycross, J.; Krasnogor, N.; and Lozano, M.\n\n\n \n\n\n\n In Genetic and Evolutionary Computation Conference (GECCO'10), pages 187–194, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"PPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Garcia-Martinez2010,\r\n  Title                    = {{P System Model Optimisation by Means of Evolutionary Based Search Algorithms}},\r\n  Author                   = {García-Martínez, C. and Lima, Claudio and Twycross, J. and Krasnogor, Natalio and Lozano, Manuel},\r\n  Booktitle                = {Genetic and Evolutionary Computation Conference (GECCO'10)},\r\n  Year                     = {2010},\r\n  Pages                    = {187--194},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://dl.acm.org/citation.cfm?id=1830517}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Evolución Diferencial con Distinción de Roles: Optimización de Problemas con Alta Dimensión.\n \n \n \n\n\n \n García-Martínez, C.; Lozano, M.; and Rodríguez-Díaz, F. J.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pages 455–462, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Garcia-Martinez2010a,\r\n  Title                    = {{Evoluci{\\'{o}}n Diferencial con Distinci{\\'{o}}n de Roles: Optimizaci{\\'{o}}n de Problemas con Alta Dimensi{\\'{o}}n}},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel and Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J.},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},\r\n  Year                     = {2010},\r\n  Pages                    = {455--462},\r\n  Keywords                 = {Metaheuristics,Evolutionary Algorithms,Scalability}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A TDIDT technique for multi-label classification.\n \n \n \n \n\n\n \n Gibaja, E.; Victoriano, M.; Ávila, J.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pages 519-524, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Gibaja-2010-ISDA,\r\n  Title                    = {A TDIDT technique for multi-label classification},\r\n  Author                   = {Gibaja, E. and Victoriano, M. and {\\'{A}}vila, J.L. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10},\r\n  Year                     = {2010},\r\n  Pages                    = {519-524},\r\n  DOI                      = {10.1109/ISDA.2010.5687213},\r\n  Keywords                 = {Multi-label Learning, Classification},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2010.5687213}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report.\n \n \n \n \n\n\n \n Lozano, M.; and García-Martínez, C.\n\n\n \n\n\n\n Computers & Operations Research, 37(3): 481–497. mar 2010.\n \n\n\n\n
\n\n\n\n \n \n \"HybridPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Lozano2010,\r\n  Title                    = {{Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report}},\r\n  Author                   = {Lozano, M. and García-Martínez, C.},\r\n  Journal                  = {Computers {\\&} Operations Research},\r\n  Year                     = {2010},\r\n  Month                    = {mar},\r\n  Number                   = {3},\r\n  Pages                    = {481--497},\r\n  Volume                   = {37},\r\n  DOI                      = {10.1016/j.cor.2009.02.010},\r\n  ISSN                     = {03050548},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  Publisher                = {Elsevier},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0305054809000471}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Analysis of the Effectiveness of G3PARM Algorithm.\n \n \n \n \n\n\n \n Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, of HAIS'10, pages 27-34, San Sebastian, Spain, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"AnalysisPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Luna-2010-HAIS,\r\n  Title                    = {Analysis of the Effectiveness of {G3PARM} Algorithm},\r\n  Author                   = {Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems},\r\n  Year                     = {2010},\r\n  Address                  = {San Sebastian, Spain},\r\n  Pages                    = {27-34},\r\n  Series                   = {HAIS'10},\r\n  DOI                      = {10.1007/978-3-642-13803-4_4},\r\n  Keywords                 = {Pattern Mining, Association Rule Mining, Genetic Programming, Grammar-Based Genetic Programming, Unsupervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://link.springer.com/chapter/10.1007%2F978-3-642-13803-4_4}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Memetic Algorithms for Continuous Optimisation Based on Local Search Chains.\n \n \n \n \n\n\n \n Molina, D.; Lozano, M.; García-Martínez, C.; and Herrera, F.\n\n\n \n\n\n\n Evolutionary Computation, 18(1): 27–63. mar 2010.\n \n\n\n\n
\n\n\n\n \n \n \"MemeticPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Molina2010,\r\n  Title                    = {{Memetic Algorithms for Continuous Optimisation Based on Local Search Chains}},\r\n  Author                   = {Molina, Daniel and Lozano, Manuel and García-Martínez, C. and Herrera, Francisco},\r\n  Journal                  = {Evolutionary Computation},\r\n  Year                     = {2010},\r\n  Month                    = {mar},\r\n  Number                   = {1},\r\n  Pages                    = {27--63},\r\n  Volume                   = {18},\r\n  DOI                      = {10.1162/evco.2010.18.1.18102},\r\n  ISBN                     = {evco.2010.18.1.18102},\r\n  ISSN                     = {1063-6560},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  Pmid                     = {20064025},\r\n  URL                      = {http://www.ncbi.nlm.nih.gov/pubmed/20064025 http://www.mitpressjournals.org/doi/abs/10.1162/evco.2010.18.1.18102{\\#}.Va48PVM-P3A http://www.mitpressjournals.org/doi/abs/10.1162/evco.2010.18.1.18102}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Web temática sobre algoritmos evolutivos y otras metaheurísticas.\n \n \n \n \n\n\n \n Molina, D.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pages 311–317, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"WebPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Molina2010a,\r\n  Title                    = {{Web tem{\\'{a}}tica sobre algoritmos evolutivos y otras metaheur{\\'{i}}sticas}},\r\n  Author                   = {Molina, Daniel and García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},\r\n  Year                     = {2010},\r\n  Pages                    = {311--317},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://sci2s.ugr.es/sites/default/files/ficherosPublicaciones/1330{\\_}malschains{\\_}maeb2010.pdf}\r\n}\r\n\r\n
\n
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\n \n\n \n \n \n \n \n Minería de Reglas de Clasificación mediante un Algoritmo de Programación Automática con Hormigas.\n \n \n \n\n\n \n Olmo, J. L.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In VII Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados, of MAEB 2010, pages 243-250, Valencia, España, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2010-MAEB,\r\n  Title                    = {Miner\\'{i}a de Reglas de Clasificaci\\'{o}n mediante un Algoritmo de Programaci\\'{o}n Autom\\'{a}tica con Hormigas},\r\n  Author                   = {J. L. Olmo and J. M. Luna and J. R. Romero and S. Ventura},\r\n  Booktitle                = {VII Congreso Espa\\~{n}ol sobre Metaheur\\'{i}sticas and Algoritmos Evolutivos y Bioinspirados},\r\n  Year                     = {2010},\r\n  Address                  = {Valencia, Espa\\~{n}a},\r\n  Pages                    = {243-250},\r\n  Series                   = {MAEB 2010},\r\n  Keywords                 = {Bioinspired algorithms, Ant Programming, Classification, Supervised Learning, Evolutionary Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An Automatic Programming ACO-Based Algorithm for Classification Rule Mining.\n \n \n \n \n\n\n \n Olmo, J. L.; Luna, J. M.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 8th International Conference on Practical Applications of Agents and Multiagent Systems, of PAAMS 2010, pages 649–656, Salamanca, Spain, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2010-PAAMS,\r\n  Title                    = {An Automatic Programming {ACO}-Based Algorithm for Classification Rule Mining},\r\n  Author                   = {Olmo, J. L. and Luna, J. M. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 8th International Conference on Practical Applications of Agents and Multiagent Systems},\r\n  Year                     = {2010},\r\n  Address                  = {Salamanca, Spain},\r\n  Pages                    = {649--656},\r\n  Series                   = {PAAMS 2010},\r\n  DOI                      = {10.1007/978-3-642-12433-4_76},\r\n  Keywords                 = {Bioinspired algorithms, Ant Programming, Classification, Supervised Learning, Evolutionary Algorithms},\r\n  URL                      = {http://link.springer.com/chapter/10.1007%2F978-3-642-12433-4_76}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A grammar based ant programming algorithm for mining classification rules.\n \n \n \n \n\n\n \n Olmo, J.; Romero, J. R.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the IEEE World Congress on Computational Intelligence, WCCI'10, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Olmo-2010-WCCI,\r\n  Title                    = {A grammar based ant programming algorithm for mining classification rules},\r\n  Author                   = {Olmo, J.L. and Romero, J. R. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the IEEE World Congress on Computational Intelligence, WCCI'10},\r\n  Year                     = {2010},\r\n  DOI                      = {10.1109/CEC.2010.5586492},\r\n  Keywords                 = {Classification, Ant Programming, Classification Rules},\r\n  URL                      = {http://dx.doi.org/10.1109/CEC.2010.5586492}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A GA-based Multiple Simulated Annealing.\n \n \n \n \n\n\n \n Rodríguez-Díaz, F. J.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In IEEE Congress on Evolutionary Computation, pages 195–201, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez-Diaz2010,\r\n  Title                    = {{A GA-based Multiple Simulated Annealing}},\r\n  Author                   = {Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {IEEE Congress on Evolutionary Computation},\r\n  Year                     = {2010},\r\n  Pages                    = {195--201},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/document/5586472/}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Un Modelo de Enfriamiento Simulado Basado en Algoritmos Evolutivos Especializados.\n \n \n \n\n\n \n Rodríguez-Díaz, F. J.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10), pages 727–734, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Rodriguez-Diaz2010a,\r\n  Title                    = {{Un Modelo de Enfriamiento Simulado Basado en Algoritmos Evolutivos Especializados}},\r\n  Author                   = {Rodr{\\'{i}}guez-D{\\'{i}}az, Francisco J. and García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'10)},\r\n  Year                     = {2010},\r\n  Pages                    = {727--734},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Educational data mining: A review of the state of the art.\n \n \n \n \n\n\n \n Romero, C.; and Ventura, S.\n\n\n \n\n\n\n IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 40(6): 601-618. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"EducationalPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Romero-2010-CYB,\r\n  Title                    = {Educational data mining: A review of the state of the art},\r\n  Author                   = {Romero, C. and Ventura, S.},\r\n  Journal                  = {IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews},\r\n  Year                     = {2010},\r\n  Number                   = {6},\r\n  Pages                    = {601-618},\r\n  Volume                   = {40},\r\n  DOI                      = {10.1109/TSMCC.2010.2053532},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {http://dx.doi.org/10.1109/TSMCC.2010.2053532}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Class association rule mining from students' test data.\n \n \n \n \n\n\n \n Romero, C.; Ventura, S.; Vasilyeva, E.; and Pechenizkiy, M.\n\n\n \n\n\n\n In Proceedings of the 3rd International Conference on Educational Data Mining, EDM'10, pages 317-318, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"ClassPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Romero-2010-EDM,\r\n  Title                    = {Class association rule mining from students' test data},\r\n  Author                   = {Romero, C. and Ventura, S. and Vasilyeva, E. and Pechenizkiy, M.},\r\n  Booktitle                = {Proceedings of the 3rd International Conference on Educational Data Mining, EDM'10},\r\n  Year                     = {2010},\r\n  Pages                    = {317-318},\r\n  Keywords                 = {Educational Data Mining,Association Rule Mining},\r\n  URL                      = {http://educationaldatamining.org/EDM2010/uploads/proc/edm2010_submission_44.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n On the synchronization of ODP textual and graphical specifications.\n \n \n \n \n\n\n \n Ruiz-González, D.; Vallecillo, A.; and Romero, J. R.\n\n\n \n\n\n\n In Library, I. D., editor(s), 6th Intl. Workshop on ODP for Enterprise Computing (WODPEC 2010), pages 376-381, 2010. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"OnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Ruiz-Gonzalez-2010-EDOC,\r\n  Title                    = {On the synchronization of ODP textual and graphical specifications},\r\n  Author                   = {Ruiz-González, D. and Vallecillo, A. and Romero, J. R.},\r\n  Booktitle                = {6th Intl. Workshop on ODP for Enterprise Computing (WODPEC 2010)},\r\n  Year                     = {2010},\r\n  Editor                   = {IEEE Digital Library},\r\n  Pages                    = {376-381},\r\n  Publisher                = {IEEE},\r\n  DOI                      = {10.1109/EDOCW.2010.19},\r\n  Journal                  = {Proceedings of the IEEE International Enterprise Distributed Object Computing Workshop, EDOC'10},\r\n  Keywords                 = {Software Design \\& Development},\r\n  URL                      = {http://dx.doi.org/10.1109/EDOCW.2010.19}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Handbook of Educational Data Mining.\n \n \n \n \n\n\n \n Romero, C.; Ventura, S.; Pechenizkiy, M.; and Baker, R. S.\n\n\n \n\n\n\n CRC Press, 1st edition, 2010.\n \n\n\n\n
\n\n\n\n \n \n \"HandbookPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Book{VenturaRomero2010,\r\n  Title                    = {Handbook of Educational Data Mining},\r\n  Author                   = {Romero, C. and Ventura, S. and Pechenizkiy, M. and Baker, R. S.},\r\n  Publisher                = {CRC Press},\r\n  Year                     = {2010},\r\n  Edition                  = {1st},\r\n  ISBN                     = {1-43980-457-5},\r\n  Keywords                 = {Educational Data Mining},\r\n  URL                      = {https://www.crcpress.com/Handbook-of-Educational-Data-Mining/Romero-Ventura-Pechenizkiy-Baker/p/book/9781439804575}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evolutionary Symbolic Discovery for Bioinformatics, Systems and Synthetic Biology.\n \n \n \n \n\n\n \n Widera, P.; Bacardit, J.; Krasnogor, N.; García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Genetic and Evolutionary Computation Conference (GECCO'10), pages 1991–1998, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Widera2010,\r\n  Title                    = {{Evolutionary Symbolic Discovery for Bioinformatics, Systems and Synthetic Biology}},\r\n  Author                   = {Widera, P. and Bacardit, J. and Krasnogor, Natalio and García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Genetic and Evolutionary Computation Conference (GECCO'10)},\r\n  Year                     = {2010},\r\n  Pages                    = {1991--1998},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms},\r\n  URL                      = {http://dl.acm.org/citation.cfm?id=1830842}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Grammar guided genetic programming for multiple instance learning: An experimental study.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In pages 925-931, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"GrammarPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zafra-2010-GECCO,\r\n  Title                    = {Grammar guided genetic programming for multiple instance learning: An experimental study},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Year                     = {2010},\r\n  Pages                    = {925-931},\r\n  DOI                      = {10.1145/1830483.1830647},\r\n  Journal                  = {Proceedings of the 12th Genetic and Evolutionary Computation Conference, GECCO'10},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1145/1830483.1830647}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Reducing dimensionality in multiple instance learning with a filter method.\n \n \n \n \n\n\n \n Zafra, A.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10, volume 6077 LNAI, pages 35-44, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"ReducingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zafra-2010-HAIS,\r\n  Title                    = {Reducing dimensionality in multiple instance learning with a filter method},\r\n  Author                   = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, HAIS'10},\r\n  Year                     = {2010},\r\n  Number                   = {PART 2},\r\n  Pages                    = {35-44},\r\n  Volume                   = {6077 LNAI},\r\n  DOI                      = {10.1007/978-3-642-13803-4_5},\r\n  Keywords                 = {Multi-instance Learning, Feature Selection},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-13803-4_5}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Web usage mining for improving students performance in learning management systems.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA-AIE'10, volume 6098 LNAI, pages 439-449, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"WebPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zafra-2010-IEAAIE,\r\n  Title                    = {Web usage mining for improving students performance in learning management systems},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA-AIE'10},\r\n  Year                     = {2010},\r\n  Number                   = {PART 3},\r\n  Pages                    = {439-449},\r\n  Volume                   = {6098 LNAI},\r\n  DOI                      = {10.1007/978-3-642-13033-5_45},\r\n  Keywords                 = {Multi-instance Learning, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-13033-5_45}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n G3P-MI: A genetic programming algorithm for multiple instance learning.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n Information Sciences, 180(23): 4496-4513. 2010.\n \n\n\n\n
\n\n\n\n \n \n \"G3P-MI:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zafra-2010-INS,\r\n  Title                    = {G3P-MI: A genetic programming algorithm for multiple instance learning},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2010},\r\n  Number                   = {23},\r\n  Pages                    = {4496-4513},\r\n  Volume                   = {180},\r\n  DOI                      = {10.1016/j.ins.2010.07.031},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1016/j.ins.2010.07.031}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Feature selection is the reliefF for multiple instance learning.\n \n \n \n \n\n\n \n Zafra, A.; Pechenizkiy, M.; and Ventura, S.\n\n\n \n\n\n\n In Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, pages 525-532, 2010. \n \n\n\n\n
\n\n\n\n \n \n \"FeaturePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zafra-2010-ISDA,\r\n  Title                    = {Feature selection is the reliefF for multiple instance learning},\r\n  Author                   = {Zafra, A. and Pechenizkiy, M. and Ventura, S.},\r\n  Booktitle                = {Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, ISDA'10},\r\n  Year                     = {2010},\r\n  Pages                    = {525-532},\r\n  DOI                      = {10.1109/ISDA.2010.5687210},\r\n  Keywords                 = {Multi-instance Learning, Feature Selection},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2010.5687210}\r\n}\r\n\r\n
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\n  \n 2009\n \n \n (18)\n \n \n
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\n \n\n \n \n \n \n \n \n Collaborative Data Mining Tool for Education.\n \n \n \n \n\n\n \n Romero, C.; Ventura, S.; García, E.; de Castro, C.; and Gea, M.\n\n\n \n\n\n\n In Proceedings of the 2nd International Conference on Educational Data Mining, of EDM 2009, pages 299–308, Cordoba, Spain, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"CollaborativePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{DBLP:conf/edm/RomeroVGCG09,\r\n  Title                    = {Collaborative Data Mining Tool for Education},\r\n  Author                   = {C. Romero and S. Ventura and Enrique Garc{\\'{\\i}}a and Carlos de Castro and Miguel Gea},\r\n  Booktitle                = {Proceedings of the 2nd International Conference on Educational Data Mining},\r\n  Year                     = {2009},\r\n  Address                  = {Cordoba, Spain},\r\n  Pages                    = {299--308},\r\n  Series                   = {EDM 2009},\r\n  Bibsource                = {dblp computer science bibliography, http://dblp.org},\r\n  Biburl                   = {http://dblp.uni-trier.de/rec/bib/conf/edm/RomeroVGCG09},\r\n  Crossref                 = {DBLP:conf/edm/2009},\r\n  Keywords                 = {Educational Data Mining},\r\n  Timestamp                = {Wed, 06 Oct 2010 08:12:59 +0200},\r\n  URL                      = {http://www.educationaldatamining.org/EDM2009/uploads/proceedings/romero.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Multi-label classification with gene expression programming.\n \n \n \n\n\n \n Ávila, J.; Gibaja, E.; and Ventura, S.\n\n\n \n\n\n\n In International Conference on Hybrid Artificial Intelligence Systems, pages 629–637, 2009. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{avila2009multi,\r\n  Title                    = {Multi-label classification with gene expression programming},\r\n  Author                   = {{\\'A}vila, JL and Gibaja, E. and Ventura, S.},\r\n  Booktitle                = {International Conference on Hybrid Artificial Intelligence Systems},\r\n  Year                     = {2009},\r\n  Organization             = {Springer},\r\n  Pages                    = {629--637},\r\n  Keywords                 = {Multi-label Learning, Classification, Discriminant Functions, Gene Expression Programming (GEP)}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n A niching algorithm to learn discriminant functions with multi-label patterns.\n \n \n \n\n\n \n Ávila, J.; Gibaja, E.; Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In International Conference on Intelligent Data Engineering and Automated Learning, pages 570–577, 2009. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{avila2009niching,\r\n  Title                    = {A niching algorithm to learn discriminant functions with multi-label patterns},\r\n  Author                   = {{\\'A}vila, JL and Gibaja, E. and Zafra, A. and Ventura, S.},\r\n  Booktitle                = {International Conference on Intelligent Data Engineering and Automated Learning},\r\n  Year                     = {2009},\r\n  Organization             = {Springer},\r\n  Pages                    = {570--577},\r\n  Keywords                 = {Multi-label Learning, Classification, Discriminant Functions, Gene Expression Programming (GEP)}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems.\n \n \n \n \n\n\n \n Romero, C.; Ventura, S.; Zafra, A.; and Bra, P. D.\n\n\n \n\n\n\n Computers & Education, 53(3): 828–840. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"ApplyingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/ce/RomeroVZB09,\r\n  Title                    = {Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems},\r\n  Author                   = {C. Romero and S. Ventura and A. Zafra and Paul De Bra},\r\n  Journal                  = {Computers {\\&} Education},\r\n  Year                     = {2009},\r\n  Number                   = {3},\r\n  Pages                    = {828--840},\r\n  Volume                   = {53},\r\n  DOI                      = {10.1016/j.compedu.2009.05.003},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://dx.doi.org/10.1016/j.compedu.2009.05.003}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.\n \n \n \n \n\n\n \n Romero, C.; González, P.; Ventura, S.; del Jesús, M. J.; and Herrera, F.\n\n\n \n\n\n\n Expert Syst. Appl., 36(2): 1632–1644. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"EvolutionaryPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/eswa/RomeroGVJH09,\r\n  Title                    = {Evolutionary algorithms for subgroup discovery in e-learning: {A} practical application using Moodle data},\r\n  Author                   = {C. Romero and P. González and S. Ventura and M. J. del Jes{\\'{u}}s and F. Herrera},\r\n  Journal                  = {Expert Syst. Appl.},\r\n  Year                     = {2009},\r\n  Number                   = {2},\r\n  Pages                    = {1632--1644},\r\n  Volume                   = {36},\r\n  DOI                      = {10.1016/j.eswa.2007.11.026},\r\n  Keywords                 = {Educational Data Mining,Association Rule Mining},\r\n  URL                      = {http://dx.doi.org/10.1016/j.eswa.2007.11.026}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n KEEL: a software tool to assess evolutionary algorithms for data mining problems.\n \n \n \n \n\n\n \n Alcalá-Fdez, J.; Sánchez, L.; García, S.; del Jesús, M. J.; Ventura, S.; i Guiu, J. M. G.; Otero, J.; Romero, C.; Bacardit, J.; Rivas, V. M.; Fernández, J. C.; and Herrera, F.\n\n\n \n\n\n\n Soft Computing, 13(3): 307–318. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"KEEL:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/soco/Alcala-FdezSGJVGORBRFH09,\r\n  Title                    = {{KEEL:} a software tool to assess evolutionary algorithms for data mining problems},\r\n  Author                   = {J. Alcal{\\'{a}}{-}Fdez and L. S{\\'{a}}nchez and S. Garc{\\'{\\i}}a and M. J. del Jes{\\'{u}}s and S. Ventura and J. M. Garrell i Guiu and J. Otero and C. Romero and J. Bacardit and V. M. Rivas and J. C. Fern{\\'{a}}ndez and F. Herrera},\r\n  Journal                  = {Soft Computing},\r\n  Year                     = {2009},\r\n  Number                   = {3},\r\n  Pages                    = {307--318},\r\n  Volume                   = {13},\r\n  DOI                      = {10.1007/s00500-008-0323-y},\r\n  Keywords                 = {Data Science},\r\n  URL                      = {http://dx.doi.org/10.1007/s00500-008-0323-y}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering.\n \n \n \n \n\n\n \n García, E.; Romero, C.; Ventura, S.; and de Castro, C.\n\n\n \n\n\n\n User Model. User-Adapt. Interact., 19(1-2): 99–132. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{DBLP:journals/umuai/GarciaRVC09,\r\n  Title                    = {An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering},\r\n  Author                   = {Enrique Garc{\\'{\\i}}a and C. Romero and S. Ventura and Carlos de Castro},\r\n  Journal                  = {User Model. User-Adapt. Interact.},\r\n  Year                     = {2009},\r\n  Number                   = {1-2},\r\n  Pages                    = {99--132},\r\n  Volume                   = {19},\r\n  DOI                      = {10.1007/s11257-008-9047-z},\r\n  Keywords                 = {Educational Data Mining,Educational Recommender Systems},\r\n  URL                      = {http://dx.doi.org/10.1007/s11257-008-9047-z}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test.\n \n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In International Conference on Intelligent Systems Design and Applications (ISDA'09), pages 1074–1079, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"ContinuousPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2009a,\r\n  Title                    = {Continuous variable neighbourhood search algorithm based on evolutionary metaheuristic components: a scalability test},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {International Conference on Intelligent Systems Design and Applications (ISDA'09)},\r\n  Year                     = {2009},\r\n  Pages                    = {1074--1079},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms,Scalability},\r\n  URL                      = {http://ieeexplore.ieee.org/document/5364190/?arnumber=5364190{\\&}tag=1}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A continuous variable neighbourhood search based on specialised EAs: application to the noisy BBO-benchmark 2009 testbed.\n \n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Genetic and Evolutionary Computation Conference (GECCO'09), pages 2367–2374, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2009b,\r\n  Title                    = {A continuous variable neighbourhood search based on specialised EAs: application to the noisy BBO-benchmark 2009 testbed},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Genetic and Evolutionary Computation Conference (GECCO'09)},\r\n  Year                     = {2009},\r\n  Pages                    = {2367--2374},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://dl.acm.org/citation.cfm?id=1570330}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Simulated annealing based on local genetic search.\n \n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In IEEE Congress on Evolutionary Computation, pages 2569–2576, 2009. \n \n\n\n\n
\n\n\n\n \n \n \"SimulatedPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2009c,\r\n  Title                    = {{Simulated annealing based on local genetic search}},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {IEEE Congress on Evolutionary Computation},\r\n  Year                     = {2009},\r\n  Pages                    = {2569--2576},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms},\r\n  URL                      = {http://ieeexplore.ieee.org/document/4983264/?arnumber=4983264}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Evaluación de metaheurísticas basadas en un algoritmo genético local.\n \n \n \n\n\n \n García-Martínez, C.; and Lozano, M.\n\n\n \n\n\n\n In Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pages 215–222, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Garcia-Martinez2009d,\r\n  Title                    = {{Evaluaci{\\'{o}}n de metaheur{\\'{i}}sticas basadas en un algoritmo gen{\\'{e}}tico local}},\r\n  Author                   = {García-Martínez, C. and Lozano, Manuel},\r\n  Booktitle                = {Congreso de Metaheur{\\'{i}}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09)},\r\n  Year                     = {2009},\r\n  Pages                    = {215--222},\r\n  Keywords                 = {Metaheuristics,Bioinspired algorithms,Evolutionary Algorithms,Genetic Algorithms}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n Realizing Correspondences in Multi-Viewpoint Specifications.\n \n \n \n\n\n \n Romero, J. R.; Jaén, J.; and Vallecillo, A.\n\n\n \n\n\n\n In 13th IEEE Intl. Enterprise Distributed Object Computing Conference (EDOC 2009), 2009. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Romero-2009-EDOC,\r\n  Title                    = {Realizing Correspondences in Multi-Viewpoint Specifications},\r\n  Author                   = {Romero, J. R. and Ja\\'en, J. and Vallecillo, A.},\r\n  Booktitle                = {13th IEEE Intl. Enterprise Distributed Object Computing Conference (EDOC 2009)},\r\n  Year                     = {2009},\r\n  Publisher                = {IEEE},\r\n  Keywords                 = {Software Design \\& Development}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A fuzzy model to evaluate the suitability of installing an enterprise resource planning system.\n \n \n \n \n\n\n \n Sánchez, P.; Martínez, L.; García-Martínez, C.; Herrera, F.; and Herrera-Viedma, E.\n\n\n \n\n\n\n Information Sciences, 179(14): 2333–2341. jun 2009.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Sanchez2009,\r\n  Title                    = {{A fuzzy model to evaluate the suitability of installing an enterprise resource planning system}},\r\n  Author                   = {S{\\'{a}}nchez, P.J. and Mart{\\'{i}}nez, L. and García-Martínez, C. and Herrera, F. and Herrera-Viedma, E.},\r\n  Journal                  = {Information Sciences},\r\n  Year                     = {2009},\r\n  Month                    = {jun},\r\n  Number                   = {14},\r\n  Pages                    = {2333--2341},\r\n  Volume                   = {179},\r\n  DOI                      = {10.1016/j.ins.2008.12.020},\r\n  ISSN                     = {00200255},\r\n  Keywords                 = {Other},\r\n  URL                      = {http://linkinghub.elsevier.com/retrieve/pii/S0020025508005562}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-Instance Learning with MultiObjective Genetic Programming.\n \n \n \n \n\n\n \n Zafra, A.\n\n\n \n\n\n\n In Wang, J., editor(s), Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), pages 1372–1379. IGI Global, 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-InstancePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InCollection{Zafra09,\r\n  Title                    = {Multi-Instance Learning with MultiObjective Genetic Programming},\r\n  Author                   = {Zafra, A.},\r\n  Booktitle                = {Encyclopedia of Data Warehousing and Mining, Second Edition {(4} Volumes)},\r\n  Publisher                = {{IGI} Global},\r\n  Year                     = {2009},\r\n  Editor                   = {John Wang},\r\n  Pages                    = {1372--1379},\r\n  ISBN                     = {9781605660103},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming, Multi-objective Optimization},\r\n  URL                      = {http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=11000}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Barnes, T.; Desmarais, M. C.; Romero, C.; and Ventura, S., editor(s), Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining., pages 309–318, 2009. www.educationaldatamining.org\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{ZafraP09,\r\n  Title                    = {Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Educational Data Mining - {EDM} 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining.},\r\n  Year                     = {2009},\r\n  Editor                   = {Tiffany Barnes and Michel C. Desmarais and Crist{\\'{o}}bal Romero and Ventura, S.},\r\n  Pages                    = {309--318},\r\n  Publisher                = {www.educationaldatamining.org},\r\n  ISBN                     = {978-84-613-2308-1},\r\n  Keywords                 = {Multi-instance Learning, Predicting Student Performance},\r\n  URL                      = {http://www.educationaldatamining.org/EDM2009/uploads/proceedings/zafra.pdf}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Predicting Academic Achievement Using Multiple Instance Genetic Programming.\n \n \n \n \n\n\n \n Zafra, A.; Romero, C.; and Ventura, S.\n\n\n \n\n\n\n In Ninth International Conference on Intelligent Systems Design and Applications, ISDA 2009, Pisa, Italy , November 30-December 2, 2009, pages 1120–1125, 2009. IEEE Computer Society\n \n\n\n\n
\n\n\n\n \n \n \"PredictingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{ZafraRV09,\r\n  Title                    = {Predicting Academic Achievement Using Multiple Instance Genetic Programming},\r\n  Author                   = {Zafra, A. and Romero, C. and Ventura, S.},\r\n  Booktitle                = {Ninth International Conference on Intelligent Systems Design and Applications, {ISDA} 2009, Pisa, Italy , November 30-December 2, 2009},\r\n  Year                     = {2009},\r\n  Pages                    = {1120--1125},\r\n  Publisher                = {{IEEE} Computer Society},\r\n  DOI                      = {10.1109/ISDA.2009.108},\r\n  ISBN                     = {978-0-7695-3872-3},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming, Predicting Student Performance},\r\n  URL                      = {http://dx.doi.org/10.1109/ISDA.2009.108}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n Multi-instance genetic programming for web index recommendation.\n \n \n \n \n\n\n \n Zafra, A.; Romero, C.; Ventura, S.; and Herrera-Viedma, E.\n\n\n \n\n\n\n Expert Syst. Appl., 36(9): 11470–11479. 2009.\n \n\n\n\n
\n\n\n\n \n \n \"Multi-instancePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@Article{ZafraRVH09,\r\n  Title                    = {Multi-instance genetic programming for web index recommendation},\r\n  Author                   = {Zafra, A. and Romero, C. and Ventura, S. and Enrique Herrera{-}Viedma},\r\n  Journal                  = {Expert Syst. Appl.},\r\n  Year                     = {2009},\r\n  Number                   = {9},\r\n  Pages                    = {11470--11479},\r\n  Volume                   = {36},\r\n  DOI                      = {10.1016/j.eswa.2009.03.059},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming},\r\n  URL                      = {http://dx.doi.org/10.1016/j.eswa.2009.03.059}\r\n}\r\n\r\n
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\n \n\n \n \n \n \n \n \n A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning.\n \n \n \n \n\n\n \n Zafra, A.; and Ventura, S.\n\n\n \n\n\n\n In Corchado, E.; Wu, X.; Oja, E.; Herrero, Á.; and Baruque, B., editor(s), Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, volume 5572, of Lecture Notes in Computer Science, pages 450–458, 2009. Springer\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{ZafraV09,\r\n  Title                    = {A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning},\r\n  Author                   = {Zafra, A. and Ventura, S.},\r\n  Booktitle                = {Hybrid Artificial Intelligence Systems, 4th International Conference, {HAIS} 2009, Salamanca, Spain, June 10-12, 2009. Proceedings},\r\n  Year                     = {2009},\r\n  Editor                   = {Emilio Corchado and Xindong Wu and Erkki Oja and {\\'{A}}lvaro Herrero and Bruno Baruque},\r\n  Pages                    = {450--458},\r\n  Publisher                = {Springer},\r\n  Series                   = {Lecture Notes in Computer Science},\r\n  Volume                   = {5572},\r\n  DOI                      = {10.1007/978-3-642-02319-4_54},\r\n  ISBN                     = {978-3-642-02318-7},\r\n  Keywords                 = {Multi-instance Learning, Grammar-Based Genetic Programming, Multi-objective Optimization},\r\n  URL                      = {http://dx.doi.org/10.1007/978-3-642-02319-4_54}\r\n}\r\n\r\n
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