{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:44Z","timestamp":1750220024342,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:00:00Z","timestamp":1679875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Spanish Ministry of Science and Innovation","award":["UIDB\/00066\/2020"],"award-info":[{"award-number":["UIDB\/00066\/2020"]}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["PY20-00870"],"award-info":[{"award-number":["PY20-00870"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Junta de Andaluc\u00eda","award":["UPO-138516"],"award-info":[{"award-number":["UPO-138516"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,27]]},"DOI":"10.1145\/3555776.3578634","type":"proceedings-article","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T17:16:29Z","timestamp":1686158189000},"page":"441-448","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8514-4182","authenticated-orcid":false,"given":"Manuel Jesus","family":"Jimenez Navarro","sequence":"first","affiliation":[{"name":"University of Seville, Seville, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3160-7414","authenticated-orcid":false,"given":"Maria","family":"Martinez Ballesteros","sequence":"additional","affiliation":[{"name":"University of Seville, Seville, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7556-4367","authenticated-orcid":false,"given":"Isabel","family":"Sofia Brito","sequence":"additional","affiliation":[{"name":"Polytechnic Institute of Beja, Beja, Portugal"},{"name":"Centre of Technology and Systems, Instituto de Desenvolvimiento de Novas Tecnologias, Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6309-1785","authenticated-orcid":false,"given":"Francisco","family":"Martinez Alvarez","sequence":"additional","affiliation":[{"name":"Pablo de Olavide University, Seville, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0874-1826","authenticated-orcid":false,"given":"Gualberto","family":"Asencio Cortes","sequence":"additional","affiliation":[{"name":"Pablo de Olavide University, Seville, Spain"}]}],"member":"320","published-online":{"date-parts":[[2023,6,7]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_1_1_1","DOI":"10.1016\/j.knosys.2018.10.009"},{"key":"e_1_3_2_1_2_1","first-page":"710","article-title":"Personalized Weather Station With Machine Learning Based Rainfall Predictor","volume":"4","author":"Agathiyan A.","year":"2021","unstructured":"A. Agathiyan , M. Naresh , and M. Immanuel . 2021 . Personalized Weather Station With Machine Learning Based Rainfall Predictor . International Journal of Advanced Research in Science, Communication and Technology 4 (2021), 710 -- 715 . A. Agathiyan, M. Naresh, and M. Immanuel. 2021. Personalized Weather Station With Machine Learning Based Rainfall Predictor. International Journal of Advanced Research in Science, Communication and Technology 4 (2021), 710--715.","journal-title":"International Journal of Advanced Research in Science, Communication and Technology"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_3_1","DOI":"10.1007\/s11600-020-00446-9"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1016\/j.jaridenv.2015.08.006"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1111\/mice.12810"},{"volume-title":"Proceedings of the International Conference on Knowledge Discovery and Data Mining (ACM\/SIGKDD)","author":"Chen T.","unstructured":"T. Chen and C. Guestrin . 2016. XGBoost: A Scalable Tree Boosting System . In Proceedings of the International Conference on Knowledge Discovery and Data Mining (ACM\/SIGKDD) . New York, NY, USA, 785--794. T. Chen and C. Guestrin. 2016. XGBoost: A Scalable Tree Boosting System. In Proceedings of the International Conference on Knowledge Discovery and Data Mining (ACM\/SIGKDD). New York, NY, USA, 785--794.","key":"e_1_3_2_1_6_1"},{"doi-asserted-by":"crossref","unstructured":"C. Cortes and V. Vapnik. 1995. Support-vector networks. Machine learning 20 3 (1995) 273--297.  C. Cortes and V. Vapnik. 1995. Support-vector networks. Machine learning 20 3 (1995) 273--297.","key":"e_1_3_2_1_7_1","DOI":"10.1007\/BF00994018"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1016\/j.compag.2020.105700"},{"unstructured":"A. V. Dorogush V. Ershov and A. Gulin. 2018. CatBoost: gradient boosting with categorical features support.  A. V. Dorogush V. Ershov and A. Gulin. 2018. CatBoost: gradient boosting with categorical features support.","key":"e_1_3_2_1_9_1"},{"unstructured":"Centro Operativo e de Tecnologia de Regadio. 2022. Sistema Agrometeorologico para a Gest\u00e3o da Rega no Alentejo. http:\/\/www.cotr.pt\/servicos\/sagra.php.  Centro Operativo e de Tecnologia de Regadio. 2022. Sistema Agrometeorologico para a Gest\u00e3o da Rega no Alentejo. http:\/\/www.cotr.pt\/servicos\/sagra.php.","key":"e_1_3_2_1_10_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1007\/s13201-022-01667-7"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1089\/big.2020.0159"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1016\/j.compag.2020.105728"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1016\/j.energy.2021.123060"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of International Conference on Document Analysis and Recognition (ICDAR)","volume":"1","author":"Ho T. K.","year":"1995","unstructured":"T. K. Ho . 1995 . Random decision forests . In Proceedings of International Conference on Document Analysis and Recognition (ICDAR) , Vol. 1 . Montreal, QC, Canada, 278--282. T. K. Ho. 1995. Random decision forests. In Proceedings of International Conference on Document Analysis and Recognition (ICDAR), Vol. 1. Montreal, QC, Canada, 278--282."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1016\/S2095-3119(19)62657-2"},{"key":"e_1_3_2_1_17_1","first-page":"1","article-title":"Simple averaging of direct and recursive forecasts via partial pooling using machine learning","volume":"2021","author":"In Y.","year":"2021","unstructured":"Y. In and J. Jung . 2021 . Simple averaging of direct and recursive forecasts via partial pooling using machine learning . International Journal of Forecasting 2021 (2021), 1 -- 14 . Y. In and J. Jung. 2021. Simple averaging of direct and recursive forecasts via partial pooling using machine learning. International Journal of Forecasting 2021 (2021), 1--14.","journal-title":"International Journal of Forecasting"},{"volume-title":"Proceedings of International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO)","author":"Jim\u00e9nez-Navarro M. J.","unstructured":"M. J. Jim\u00e9nez-Navarro , M. Mart\u00ednez-Ballesteros , I. S. Sousa Brito , F. Mart\u00ednez-\u00c1lvarez , and G. Asencio-Cort\u00e9s . 2023. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection . In Proceedings of International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) . Salamanca, Spain, 557--566. M. J. Jim\u00e9nez-Navarro, M. Mart\u00ednez-Ballesteros, I. S. Sousa Brito, F. Mart\u00ednez-\u00c1lvarez, and G. Asencio-Cort\u00e9s. 2023. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. In Proceedings of International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO). Salamanca, Spain, 557--566.","key":"e_1_3_2_1_18_1"},{"volume-title":"Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO)","author":"Jim\u00e9nez-Navarro M. J.","unstructured":"M. J. Jim\u00e9nez-Navarro , G. Asencio-Cort\u00e9s , A. Troncoso , and F. Mart\u00ednez-\u00c1lvarez . 2021. HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting . In Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) . Bilbao, Spain, 721--727. M. J. Jim\u00e9nez-Navarro, G. Asencio-Cort\u00e9s, A. Troncoso, and F. Mart\u00ednez-\u00c1lvarez. 2021. HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting. In Proceedings of the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO). Bilbao, Spain, 721--727.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume":"30","author":"Ke G.","year":"2017","unstructured":"G. Ke , Q. Meng , T. Finley , T. Wang , W. Chen , W. Ma , Q. Ye , and T. Liu . 2017 . LightGBM: A highly efficient gradient boosting decision tree . Advances in Neural Information Processing Systems 30 (2017), 3146 -- 3154 . G. Ke, Q. Meng, T. Finley, T. Wang, W. Chen, W. Ma, Q. Ye, and T. Liu. 2017. LightGBM: A highly efficient gradient boosting decision tree. Advances in Neural Information Processing Systems 30 (2017), 3146--3154.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_21_1","article-title":"Time-series forecasting with deep learning: a survey","volume":"379","author":"Lim B.","year":"2021","unstructured":"B. Lim and S. Zohren . 2021 . Time-series forecasting with deep learning: a survey . Philosophical Transactions of the Royal Society A 379 , 2194 (2021), 20200209. B. Lim and S. Zohren. 2021. Time-series forecasting with deep learning: a survey. Philosophical Transactions of the Royal Society A 379, 2194 (2021), 20200209.","journal-title":"Philosophical Transactions of the Royal Society A"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1089\/big.2020.0051"},{"unstructured":"United Nations. 2022. Drought in numbers. https:\/\/www.unccd.int\/resources\/publications\/drought-numbers.  United Nations. 2022. Drought in numbers. https:\/\/www.unccd.int\/resources\/publications\/drought-numbers.","key":"e_1_3_2_1_23_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.3390\/en15061958"},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of Australian Joint Conference on Artificial Intelligence (AJCAI)","author":"Quinlan R. J.","year":"1992","unstructured":"R. J. Quinlan . 1992 . Learning with Continuous Classes . In Proceedings of Australian Joint Conference on Artificial Intelligence (AJCAI) . Singapore, 343--348. R. J. Quinlan. 1992. Learning with Continuous Classes. In Proceedings of Australian Joint Conference on Artificial Intelligence (AJCAI). Singapore, 343--348."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_26_1","DOI":"10.1016\/j.geoderma.2018.05.030"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1038\/s41598-021-96872-w"},{"volume-title":"Proceedings of Symposium on Applied Computing (ACM\/SIGAPP)","author":"Segarra-Mart\u00edn C.","unstructured":"C. Segarra-Mart\u00edn , M. Mart\u00ednez-Ballesteros , A. Troncoso , and F. Mart\u00ednez-\u00c1lvarez . 2022. A Novel Approach to Discover Numerical Association Based on the Coronavirus Optimization Algorithm . In Proceedings of Symposium on Applied Computing (ACM\/SIGAPP) . New York, NY, USA, 1148--1151. C. Segarra-Mart\u00edn, M. Mart\u00ednez-Ballesteros, A. Troncoso, and F. Mart\u00ednez-\u00c1lvarez. 2022. A Novel Approach to Discover Numerical Association Based on the Coronavirus Optimization Algorithm. In Proceedings of Symposium on Applied Computing (ACM\/SIGAPP). New York, NY, USA, 1148--1151.","key":"e_1_3_2_1_28_1"},{"doi-asserted-by":"crossref","unstructured":"M. Soto-Ferrari O. Chams-Anturi J. P. Escorcia Caballero N. Hussain and M. Khan. 2019. Evaluation of Bottom-Up and Top-Down Strategies for Aggregated Forecasts: State Space Models and ARIMA Applications. Enschede The Netherlands 413--427.  M. Soto-Ferrari O. Chams-Anturi J. P. Escorcia Caballero N. Hussain and M. Khan. 2019. Evaluation of Bottom-Up and Top-Down Strategies for Aggregated Forecasts: State Space Models and ARIMA Applications. Enschede The Netherlands 413--427.","key":"e_1_3_2_1_29_1","DOI":"10.1007\/978-3-030-31140-7_26"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_30_1","DOI":"10.18637\/jss.v097.i01"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_31_1","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_2_1_32_1","first-page":"1624","article-title":"Solution of Incorrectly Formulated Problems and the Regularization Method","volume":"4","author":"Tikhonov A. N.","year":"1963","unstructured":"A. N. Tikhonov . 1963 . Solution of Incorrectly Formulated Problems and the Regularization Method . Soviet Mathematics Doklady 4 (1963), 1624 -- 1627 . A. N. Tikhonov. 1963. Solution of Incorrectly Formulated Problems and the Regularization Method. Soviet Mathematics Doklady 4 (1963), 1624--1627.","journal-title":"Soviet Mathematics Doklady"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_33_1","DOI":"10.3233\/ICA-180580"},{"volume-title":"Proceedings of European Conference on Machine Learning Poster Papers (ECML)","author":"Wang Y.","unstructured":"Y. Wang and I. H. Witten . 1997. Inducing Model Trees for Continuous Classes . In Proceedings of European Conference on Machine Learning Poster Papers (ECML) . Hamilton, New Zealand, 128--137. Y. Wang and I. H. Witten. 1997. Inducing Model Trees for Continuous Classes. In Proceedings of European Conference on Machine Learning Poster Papers (ECML). Hamilton, New Zealand, 128--137.","key":"e_1_3_2_1_34_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_35_1","DOI":"10.1016\/j.agwat.2016.08.020"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.1111\/j.1467-9868.2005.00503.x"}],"event":{"sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"acronym":"SAC '23","name":"SAC '23: 38th ACM\/SIGAPP Symposium on Applied Computing","location":"Tallinn Estonia"},"container-title":["Proceedings of the 38th ACM\/SIGAPP Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3555776.3578634","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3555776.3578634","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:35Z","timestamp":1750182695000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3555776.3578634"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,27]]},"references-count":36,"alternative-id":["10.1145\/3555776.3578634","10.1145\/3555776"],"URL":"https:\/\/doi.org\/10.1145\/3555776.3578634","relation":{},"subject":[],"published":{"date-parts":[[2023,3,27]]},"assertion":[{"value":"2023-06-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}