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\n  \n 2020\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Scalable End-to-end Recurrent Neural Network for Variable star classification.\n \n \n \n\n\n \n Becker, I.; Pichara, K.; Catelan, M.; Protopapas, P.; Aguirre, C.; and Nikzat, F.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society., 492(3). 2020.\n \n\n\n\n
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@article{becker:2020,\n    author = {Becker, I. and Pichara, K. and Catelan, M. and Protopapas, P. and Aguirre, C. and Nikzat, F.},\n    title = {Scalable End-to-end Recurrent Neural Network for Variable star classification.},\n    journal = {Monthly Notices of the Royal Astronomical Society.},  \n    volume = {492},\n    number = {3},\n    year = 2020\n}\n\n
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\n \n\n \n \n \n \n \n Streaming classification of variable stars.\n \n \n \n\n\n \n Zorich, L.; Pichara, K.; and Protopapas, P.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society., 492(3). 2020.\n \n\n\n\n
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@article{zorich:2020,\n    author = {Zorich, L. and Pichara, K. and Protopapas, P.},\n    title = {Streaming classification of variable stars.},\n    journal = {Monthly Notices of the Royal Astronomical Society.},  \n    volume = {492},\n    number = {3},\n    year = 2020\n}\n\n\n
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\n  \n 2019\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n An Information Theory Approach on Deciding Spectroscopic Follow Ups.\n \n \n \n\n\n \n Astudillo, L.; Protopapas, P.; Pichara, K.; and Huijse, P.\n\n\n \n\n\n\n he Astronomical Journal., 159(1). 2019.\n \n\n\n\n
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@article{astudillo:2019,\n    author = {Astudillo, L. and Protopapas, P. and Pichara, K. and Huijse, P.},\n    title = {An Information Theory Approach on Deciding Spectroscopic Follow Ups.},\n    journal = {he Astronomical Journal.},  \n    volume = {159},\n    number = {1},\n    year = 2019\n}\n\n\n
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\n \n\n \n \n \n \n \n A Global Data Warehouse for Astronomy.\n \n \n \n\n\n \n Machin, J.; Pichara, K.; Protopapas, P.; Neyem, A.; and Pieringer, C.\n\n\n \n\n\n\n Under revision in Monthly Notices of the Royal Astronomical Society.. 2019.\n \n\n\n\n
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@article{machin:2018,\n    author = {Machin, J. and Pichara, K. and Protopapas, P. and Neyem, A. and Pieringer, C.},\n    title = {A Global Data Warehouse for Astronomy.},\n    journal = {Under revision in Monthly Notices of the Royal Astronomical Society.},  \n    volume = {},\n    number = {},\n    year = 2019\n}\n\n\n
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\n \n\n \n \n \n \n \n An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves.\n \n \n \n\n\n \n Pieringer, C.; Pichara, K.; Catelan, M.; and Protopapas, P.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society., 484(3). 2019.\n \n\n\n\n
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@article{pieringer:2018,\n    author = {Pieringer, C. and Pichara, K. and Catelan, M. and Protopapas, P.},\n    title = {An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves.},\n    journal = {Monthly Notices of the Royal Astronomical Society.},  \n    volume = {484},\n    number = {3},\n    year = 2019\n}\n\n\n
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\n \n\n \n \n \n \n \n A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification.\n \n \n \n\n\n \n Saldias, B.; Protopapas, P.; and Pichara, K.\n\n\n \n\n\n\n In Accepted at SIAM International Conference on Data Mining (SDM19), 2019. \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
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@ inproceedings{saldias:2019,\n    author = {Saldias, B. and Protopapas, P. and Pichara, K.},\n    title = {A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification},\n    booktitle = {Accepted at SIAM International Conference on Data Mining (SDM19)},  \n    publisher = {},\n    volume = {},\n    year = 2019\n}\n\n\n
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\n  \n 2018\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Deep multi-survey classification of variable stars.\n \n \n \n\n\n \n Aguirre, C.; Pichara, K.; and Becker, I.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society., 482(4). 2018.\n \n\n\n\n
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@article{aguirre:2018,\n    author = {Aguirre, C. and Pichara, K. and Becker, I.},\n    title = {Deep multi-survey classification of variable stars.},\n    journal = {Monthly Notices of the Royal Astronomical Society.},  \n    volume = {482},\n    number = {4},\n    year = 2018\n}\n\n
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\n \n\n \n \n \n \n \n Understanding Learning Resources Metadata for Primary and Secondary Education.\n \n \n \n\n\n \n M., P.; R., A.; K., P.; T., M.; J., B.; and F., C.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies., 11(4). 2018.\n \n\n\n\n
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@article{peralta:2018,\n    author = {Peralta M. and Alarcón R. and Pichara K. and Mery T. and Bozo J. and Cano F.},\n    title = {Understanding Learning Resources Metadata for Primary and Secondary Education.},\n    journal = {IEEE Transactions on Learning Technologies.},  \n    volume = {11},\n    number = {4},\n    year = 2018\n}\n\n\n
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\n \n\n \n \n \n \n \n Centralized student performance prediction in large courses based on low-cost variables in an institutional context.\n \n \n \n\n\n \n A., S.; C., G.; R., A.; K., P.; and M., M.\n\n\n \n\n\n\n Internet and Higher Education., 37(4). 2018.\n \n\n\n\n
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@article{sandoval:2018,\n    author = {Sandoval A. and González C. and Alarcón R. and Pichara K. and Montenegro M.},\n    title = {Centralized student performance prediction in large courses based on low-cost variables in an institutional context.},\n    journal = {Internet and Higher Education.},  \n    volume = {37},\n    number = {4},\n    year = 2018\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Automatic Survey-Invariant Classification of Variable Stars.\n \n \n \n\n\n \n Benavente, P.; Protopapas, P.; and Pichara, K.\n\n\n \n\n\n\n The Astrophysical Journal, 845(2). 2017.\n \n\n\n\n
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@article{benavente:2017,\n    author = {Benavente, P. and Protopapas, P. and Pichara, K.},\n    title = {Automatic Survey-Invariant Classification of Variable Stars},\n    journal = {The Astrophysical Journal},  \n    volume = {845},\n    number = {2},\n    year = 2017\n}\n\n
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\n \n\n \n \n \n \n \n Uncertain classification of Variable Stars: handling observational GAPS and noise.\n \n \n \n\n\n \n Castro, N.; Protopapas, P.; and Pichara, K.\n\n\n \n\n\n\n The Astronomical Journal, 155(1). 2017.\n \n\n\n\n
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@article{castro:2017,\n    author = {Castro, N. and Protopapas, P. and Pichara, K.},\n    title = {Uncertain classification of Variable Stars: handling observational GAPS and noise},\n    journal = {The Astronomical Journal},  \n    volume = {155},\n    number = {1},\n    year = 2017\n}\n\n
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\n \n\n \n \n \n \n \n Unsupervised Classification of Variable Stars.\n \n \n \n\n\n \n Valenzuela, L.; and Pichara, K.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society, 474(3). 2017.\n \n\n\n\n
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@article{Valenzuela:2017,\n    author = {Valenzuela, L. and Pichara, K.},\n    title = {Unsupervised Classification of Variable Stars},\n    journal = {Monthly Notices of the Royal Astronomical Society},  \n    volume = {474},\n    number = {3},\n    year = 2017\n}\n\n
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\n \n\n \n \n \n \n \n Understanding Learning Resources Metadata for Primary and Secondary Education.\n \n \n \n\n\n \n Peralta, M.; Alarcon, R.; Pichara, K.; Mery, T.; and Boso, J.\n\n\n \n\n\n\n IEEE Transactions on Learning Technologies., PP(99). 2017.\n \n\n\n\n
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@article{Alarcon:2017,\n    author = {Peralta, M. and Alarcon, R. and Pichara, K. and Mery, T. and Boso, J.},\n    title = {Understanding Learning Resources Metadata for Primary and Secondary Education},\n    journal = {IEEE Transactions on Learning Technologies.},  \n    volume = {PP},\n    number = {99},\n    year = 2017\n}\n\n\n
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\n \n\n \n \n \n \n \n Meta-Classification for Variable Stars.\n \n \n \n\n\n \n Pichara, K.; Protopapas, P.; and Leon, D.\n\n\n \n\n\n\n The Astrophysical Journal, 819(1). 2016.\n \n\n\n\n
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@article{pichara:2016,\n   author = {Pichara, K. and Protopapas, P. and Leon, D.},\n    title = {Meta-Classification for Variable Stars},\n    journal = {The Astrophysical Journal},  \n    volume = {819},\n    number = {1},\n    year = 2016\n}\n\n
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\n \n\n \n \n \n \n \n Unsupervised feature learning for lightcurve classification.\n \n \n \n\n\n \n Mackenzie, C.; Pichara, K.; and Protopapas, P.\n\n\n \n\n\n\n accepted for publication, The Astrophysical Journal. 2016.\n \n\n\n\n
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@article{mackenzie:2016,\n   author = {Mackenzie, C. and Pichara, K. and Protopapas, P.},\n    title = {Unsupervised feature learning for lightcurve classification},\n    journal = {accepted for publication, The Astrophysical Journal},  \n    year = 2016,\n}\n\n\n
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\n \n\n \n \n \n \n \n Photometric Classification of quasars from RCS-2 using Random Forest.\n \n \n \n\n\n \n Carrasco, D.; Barrientos, F.; Pichara, K.; Anguita, T.; Murphy, D.; Gilbank, D.; Gladders, M. D.; Yee, H. K. C.; Hsieh, B. C.; and López, S.\n\n\n \n\n\n\n Astronomy and Astrophysics, A44(584). 2015.\n \n\n\n\n
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@article{carrasco:2015,\n   author = {Carrasco, D. and Barrientos, F. and {Pichara}, K. and Anguita, T. and Murphy, D.N.A. and Gilbank, D.G. and Gladders, M. D. and Yee, H. K. C. and Hsieh, B. C. and López, S.},\n    title = {Photometric Classification of quasars from RCS-2 using Random Forest},\n    journal = {Astronomy and Astrophysics},  \n    year = 2015,\n    volume = A44,\n    number = 584,\n    doi = http://dx.doi.org/10.1051/0004-6361/201525752\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Supervised Detection of Anomalous light-curves in massive astronomical catalogs.\n \n \n \n \n\n\n \n Nun, I.; Pichara, K.; Protopapas, P.; and Kim, D.\n\n\n \n\n\n\n The Astrophysical Journal, 793(1). September 2014.\n \n\n\n\n
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@article{nun:pichara:2014,\n   author = {Nun,I. and {Pichara}, K. and {Protopapas}, P. and Kim, D.-W.},\n   title = {Supervised Detection of Anomalous light-curves in massive astronomical catalogs},\n   journal = {The Astrophysical Journal},  \n   year = 2014,\n   month = September,\n   volume = 793,\n   number = 1,\t\n   doi = {10.1088/0004-637X/793/1/23},\n   url = {http://iopscience.iop.org/0004-637X/793/1/23/article}\n}\n\n\n
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\n \n\n \n \n \n \n \n Local feature selection using Gaussian process regression.\n \n \n \n\n\n \n Pichara, K.; and Soto, A.\n\n\n \n\n\n\n Intelligent Data Analysis, 18(3). April 2014.\n \n\n\n\n
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@article{pichara:soto:2014,\n   author = {Pichara, K. and {Soto}, A.},\n    title = {Local feature selection using Gaussian process regression},\n  journal = {Intelligent Data Analysis},  \n     year = 2014,\n    month = apr,\n   volume = 18,\n    number = 3,\t\n    pages = {},\n      doi = {10.3233/IDA-140644},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n The VVV Templates Project Towards an automated classification of VVV light-curves.\n \n \n \n \n\n\n \n R. Angeloni, R. C. R.; and Whitelock, P.\n\n\n \n\n\n\n Astronomy and Astrophysics, 567: A100. 2014.\n \n\n\n\n
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@article{Angeloni:2014,\n\tauthor = {R. Angeloni, R. Contreras Ramos, M. Catelan, I. Dékány, F. Gran, J. Alonso-Garcia, M. Hempel, C. Navarrete, H. Andrews, A. Aparicio, J. C. Beamín, C. Berger, J. Borissova, C. Contreras Pena, A. Cunial, R. de Grijs, N. Espinoza, S. Eyheramendy, C. E. Ferreira Lopes, M. Fiaschi, G. Hajdu, J. Han, K. G. Hetminiak, A. Hempel, S. L. Hidalgo, Y. Ita, Y.-B. Jeon, A. Jordan, J. Kwon, J. T. Lee, E. L. Martin, N. Masetti, N. Matsunaga, A. P. Milone, D. Minniti, L. Morelli, F. Murgas, T. Nagayama, C. Navarro, P. Ochner, P. Pérez, K. Pichara, A. Rojas-Arriagada, J. Roquette, R. K. Saito, A. Siviero, J. Sohn, H.-I. Sung, M. Tamura, R. Tata, L. Tomasella, B. Townsend and P. Whitelock},\n\ttitle = {The VVV Templates Project  Towards an automated classification of VVV light-curves},\n\tDOI= "10.1051/0004-6361/201423904",\n\turl= "http://dx.doi.org/10.1051/0004-6361/201423904",\n\tjournal = {Astronomy and Astrophysics},\n\tyear = 2014,\n\tvolume = 567,\n\tpages = "A100"\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Chilean virtual observatory and integration with ALMA .\n \n \n \n \n\n\n \n Solar, M.; Fariña, W.; Mardones, D.; Antognini, J.; Pichara, K.; Nagar, N.; Parada, V.; Ibsen, J.; Nyman, L.; and Marroquin, J.\n\n\n \n\n\n\n 2014.\n \n\n\n\n
\n\n\n\n \n \n \"ChileanPaper\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
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@proceeding{doi:10.1117/12.2056766,\nauthor = {Solar, Mauricio and Fariña, Walter and Mardones, Diego and Antognini, Jonathan and Pichara, Karim and Nagar, Neil and Parada, Victor and Ibsen, Jorge and Nyman, Lars and Marroquin, José},\ntitle = {\nChilean virtual observatory and integration with ALMA\n},\njournal = {Proc. SPIE},\nvolume = {9150},\nnumber = {},\npages = {91501O-91501O-10},\nabstract = {\nThe Virtual Observatories strive to interoperate, exchange data and share services as if it was only one big VO. In this work, the state of the art of VOs will be presented and summarized in a schematic diagram with the frequency range of the observed data that every VO publishes. Chile, currently a member of the IVOA, collaborates with the Atacama Large Millimeter/submillimeter Array (ALMA), to study and propose ways to adequate the data generated by ALMA to the\ndifferent data model proposed by the IVOA.\n},\nyear = {2014},\ndoi = {10.1117/12.2056766},\nURL = { http://dx.doi.org/10.1117/12.2056766},\neprint = {}\n}\n\n\n
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\n The Virtual Observatories strive to interoperate, exchange data and share services as if it was only one big VO. In this work, the state of the art of VOs will be presented and summarized in a schematic diagram with the frequency range of the observed data that every VO publishes. Chile, currently a member of the IVOA, collaborates with the Atacama Large Millimeter/submillimeter Array (ALMA), to study and propose ways to adequate the data generated by ALMA to the different data model proposed by the IVOA. \n
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\n \n\n \n \n \n \n \n \n Automatic detection and automatic classification of structures in astronomical images .\n \n \n \n \n\n\n \n Gregorio, R.; Solar, M.; Mardones, D.; Pichara, K.; Parada, V.; and Contreras, R.\n\n\n \n\n\n\n 2014.\n \n\n\n\n
\n\n\n\n \n \n \"AutomaticPaper\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
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@proceeding{doi:10.1117/12.2055579,\nauthor = {Gregorio, Rodrigo and Solar, Mauricio and Mardones, Diego and Pichara, Karim and Parada, Victor and Contreras, Ricardo},\ntitle = {\nAutomatic detection and automatic classification of structures in astronomical images\n},\njournal = {Proc. SPIE},\nvolume = {9152},\nnumber = {},\npages = {91522R-91522R-7},\nabstract = {\nThe study of the astronomical structures is important to the astronomical community because it can help to identify objects, which can be classified based on their internal structure or their relation to other objects. For this reason, it is developed an automated tool to analyze astronomical images into its components. Firstly, a 2D images is decomposed into different spatial scales based on wavelet transform. Then, it is implemented a detection algorithms to each spatial scale, such as Clumpfind, Gaussclump, or Dendrogram techniques. The goal is to build a new algorithm and tool that is available to the community and satisfies the requirements of the next Chilean Virtual Observatory (ChiVO).\n},\nyear = {2014},\ndoi = {10.1117/12.2055579},\nURL = { http://dx.doi.org/10.1117/12.2055579},\neprint = {}\n}\n
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\n The study of the astronomical structures is important to the astronomical community because it can help to identify objects, which can be classified based on their internal structure or their relation to other objects. For this reason, it is developed an automated tool to analyze astronomical images into its components. Firstly, a 2D images is decomposed into different spatial scales based on wavelet transform. Then, it is implemented a detection algorithms to each spatial scale, such as Clumpfind, Gaussclump, or Dendrogram techniques. The goal is to build a new algorithm and tool that is available to the community and satisfies the requirements of the next Chilean Virtual Observatory (ChiVO). \n
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\n  \n 2013\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Automatic Classification of Variable Stars in Catalogs with Missing Data.\n \n \n \n \n\n\n \n Pichara, K.; and Protopapas, P.\n\n\n \n\n\n\n The Astrophysical Journal, 777: 83. November 2013.\n \n\n\n\n
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@article{pichara:2013,\n   author = {{Pichara}, K. and {Protopapas}, P.},\n    title = {Automatic Classification of Variable Stars in Catalogs with Missing Data},\n  journal = {The Astrophysical Journal},  \n     year = 2013,\n    month = nov,\n   volume = 777,\n    pages = {83},\n      doi = {10.1088/0004-637X/777/2/83},\n   url = {http://m.iopscience.iop.org/0004-637X/777/2/83/metrics}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Stellar Variability in the VVV survey.\n \n \n \n \n\n\n \n Catelan, M.; Minniti, D.; Lucas, P. W.; Dékány, I.; Saito, R. K.; Angeloni, R.; Alonso-García, J.; Hempel, M.; Helminiak, K.; Jordán, A.; Ramos, R. C.; Navarrete, C.; Beamín, J. C.; Rojas, A. F.; Gran, F.; Lopes, C. E. F.; Peña, C. C.; Kerins, E.; Huckvale, L.; Rejkuba, M.; Cohen, R.; Mauro, F.; Borissova, J.; Amigo, P.; Eyheramendy, S.; Pichara, K.; Espinoza, N.; Navarro, C.; Hajdu, G.; Espinoza, D. N. C.; Muro, G. A.; Andrews, H.; Motta, V.; Kurtev, R.; Emerson, J. P.; Bidin, C. M.; and Chené, A. -.\n\n\n \n\n\n\n . 2013.\n \n\n\n\n
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@article {Catelan:2011,\nauthor="M. Catelan and D. Minniti and P. W. Lucas and I. Dékány and R. K. Saito and R. Angeloni and J. Alonso-García and M. Hempel and K. Helminiak and A. Jordán and R. Contreras Ramos and C. Navarrete and J. C. Beamín and A. F. Rojas and F. Gran and C. E. Ferreira Lopes and C. Contreras Peña and E. Kerins and L. Huckvale and M. Rejkuba and R. Cohen and F. Mauro and J. Borissova and P. Amigo and S. Eyheramendy and K. Pichara and N. Espinoza and C. Navarro and G. Hajdu and D. N. Calderón Espinoza and G. A. Muro and H. Andrews and V. Motta and R. Kurtev and J. P. Emerson and C. Moni Bidin and A. -N. Chené",\ntitle="Stellar Variability in the VVV survey",\nyear={2013},\nurl = {http://arxiv.org/abs/1310.1996}\n}\n\n\n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n An improved quasar detection method in EROS-2 and MACHO LMC data sets.\n \n \n \n \n\n\n \n Pichara, K.; Protopapas, P.; Kim, D.; Marquette, J.; and Tisserand, P.\n\n\n \n\n\n\n Monthly Notices of the Royal Astronomical Society, 427: 1284-1297. 2012.\n \n\n\n\n
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@article{pichara:2012,\n\tAuthor = {{Pichara}, K. and {Protopapas}, P. and {Kim}, D.-W. and {Marquette}, J.-B. and {Tisserand}, P.},\n\tDoi = {10.1111/j.1365-2966.2012.22061.x},\n\tJournal = {Monthly Notices of the Royal Astronomical Society},\n\tPages = {1284-1297},\n\tTitle = {An improved quasar detection method in EROS-2 and MACHO LMC data sets},\n\tVolume = 427,\n\tYear = 2012,\n        url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2012.22061.x/abstract}\n}\n\n\n\n
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\n  \n 2011\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Active learning and subspace clustering for anomaly detection.\n \n \n \n\n\n \n Pichara, K.; and Soto, A.\n\n\n \n\n\n\n Intelligent Data Analisys, 15(2): 151-171. 2011.\n \n\n\n\n
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@article{Pichara:2011,\n  author = {Pichara, Karim and Soto, Alvaro},\n  journal = {Intelligent Data Analisys},\n  number = 2,\n  pages = {151-171},\n  title = {Active learning and subspace clustering for anomaly detection.},\n  volume = 15,\n  year = 2011\n}\n\n\n
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\n  \n 2008\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions.\n \n \n \n\n\n \n Pichara, K.; Soto, A.; and Araneda, A.\n\n\n \n\n\n\n In IBERAMIA, volume 5290, of Lecture Notes in Computer Science, pages 163-172, 2008. Springer\n Best student paper award\n\n\n\n
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@inproceedings{Pichara:2008,\n  author = {Pichara, Karim and Soto, Alvaro and Araneda, Anita},\n  booktitle = {IBERAMIA},\n  isbn = {978-3-540-88308-1},\n  Note= {Best student paper award},\n  pages = {163-172},\n  publisher = {Springer},\n  series = {Lecture Notes in Computer Science},\n  title = {Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions.},\n  volume = 5290,\n  year = 2008\n}\n\n\n\n
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