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\n\n \n \n \n \n \n \n A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry.\n \n \n \n \n\n\n \n Lorente-Leyva, L. L.; Alemany, M. M. E.; Peluffo-Ordóñez, D. H.; and Herrera-Granda, I. D.\n\n\n \n\n\n\n In Nicosia, G.; Ojha, V.; Malfa, E. L.; Jansen, G.; Sciacca, V.; Pardalos, P. M.; Giuffrida, G.; and Umeton, R., editor(s),
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II, volume 12566, of
Lecture Notes in Computer Science, pages 131–142, 2020. Springer\n
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@inproceedings{DBLP:conf/mod/Lorente-LeyvaAP20,\n author = {Leandro Leonardo Lorente{-}Leyva and\n M. M. E. Alemany and\n Diego Hern{\\'{a}}n Peluffo{-}Ord{\\'{o}}{\\~{n}}ez and\n Israel David Herrera{-}Granda},\n editor = {Giuseppe Nicosia and\n Varun Ojha and\n Emanuele La Malfa and\n Giorgio Jansen and\n Vincenzo Sciacca and\n Panos M. Pardalos and\n Giovanni Giuffrida and\n Renato Umeton},\n title = {A Comparison of Machine Learning and Classical Demand Forecasting\n Methods: {A} Case Study of Ecuadorian Textile Industry},\n booktitle = {Machine Learning, Optimization, and Data Science - 6th International\n Conference, {LOD} 2020, Siena, Italy, July 19-23, 2020, Revised Selected\n Papers, Part {II}},\n series = {Lecture Notes in Computer Science},\n volume = {12566},\n pages = {131--142},\n publisher = {Springer},\n year = {2020},\n url = {https://doi.org/10.1007/978-3-030-64580-9\\_11},\n doi = {10.1007/978-3-030-64580-9\\_11},\n timestamp = {Mon, 07 Feb 2022 17:57:40 +0100},\n biburl = {https://dblp.org/rec/conf/mod/Lorente-LeyvaAP20.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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\n\n \n \n \n \n \n \n A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios.\n \n \n \n \n\n\n \n Herrera-Granda, I. D.; Lorente-Leyva, L. L.; Peluffo-Ordóñez, D. H.; and Alemany, M. M. E.\n\n\n \n\n\n\n In Nicosia, G.; Ojha, V.; Malfa, E. L.; Jansen, G.; Sciacca, V.; Pardalos, P. M.; Giuffrida, G.; and Umeton, R., editor(s),
Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II, volume 12566, of
Lecture Notes in Computer Science, pages 245–258, 2020. Springer\n
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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
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@inproceedings{DBLP:conf/mod/Herrera-GrandaL20,\n author = {Israel David Herrera{-}Granda and\n Leandro Leonardo Lorente{-}Leyva and\n Diego Hern{\\'{a}}n Peluffo{-}Ord{\\'{o}}{\\~{n}}ez and\n M. M. E. Alemany},\n editor = {Giuseppe Nicosia and\n Varun Ojha and\n Emanuele La Malfa and\n Giorgio Jansen and\n Vincenzo Sciacca and\n Panos M. Pardalos and\n Giovanni Giuffrida and\n Renato Umeton},\n title = {A Forecasting Model to Predict the Demand of Roses in an Ecuadorian\n Small Business Under Uncertain Scenarios},\n booktitle = {Machine Learning, Optimization, and Data Science - 6th International\n Conference, {LOD} 2020, Siena, Italy, July 19-23, 2020, Revised Selected\n Papers, Part {II}},\n series = {Lecture Notes in Computer Science},\n volume = {12566},\n pages = {245--258},\n publisher = {Springer},\n year = {2020},\n url = {https://doi.org/10.1007/978-3-030-64580-9\\_21},\n doi = {10.1007/978-3-030-64580-9\\_21},\n timestamp = {Wed, 07 Apr 2021 01:00:00 +0200},\n biburl = {https://dblp.org/rec/conf/mod/Herrera-GrandaL20.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n
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