{"id":73,"date":"2018-12-03T15:37:30","date_gmt":"2018-12-03T15:37:30","guid":{"rendered":"http:\/\/grupo.us.es\/minerva\/?post_type=team&#038;p=73"},"modified":"2025-10-10T11:58:58","modified_gmt":"2025-10-10T10:58:58","slug":"maria-martinez-ballesteros","status":"publish","type":"team","link":"https:\/\/grupo.us.es\/minerva\/equipo\/maria-martinez-ballesteros\/","title":{"rendered":"Mar\u00eda Mart\u00ednez Ballesteros"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00c9nez-Navarro, M J;  Mart\u00cdnez-Ballesteros, M;  Brito, I S;  Mart\u00cdnez-\u00c1lvarez, F;  Asencio-Cort\u00c9s, G<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/embedded-feature-selection-for-neural-networks-via-learnable-drop-layer\/\">Embedded feature selection for neural networks via learnable drop layer<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Logic Journal of the IGPL, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. N\/A, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1595\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1595','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1595\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1595','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1595\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1093\/jigpal\/jzae062,<br \/>\r\ntitle = {Embedded feature selection for neural networks via learnable drop layer},<br \/>\r\nauthor = {M J Jim\u00c9nez-Navarro and M Mart\u00cdnez-Ballesteros and I S Brito and F Mart\u00cdnez-\u00c1lvarez and G Asencio-Cort\u00c9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1093\/jigpal\/jzae062},<br \/>\r\ndoi = {10.1093\/jigpal\/jzae062},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Logic Journal of the IGPL},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {N\/A},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1595','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1595\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1093\/jigpal\/jzae062\" title=\"https:\/\/doi.org\/10.1093\/jigpal\/jzae062\" target=\"_blank\">https:\/\/doi.org\/10.1093\/jigpal\/jzae062<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/jigpal\/jzae062\" title=\"DOI de seguimiento:10.1093\/jigpal\/jzae062\" target=\"_blank\">doi:10.1093\/jigpal\/jzae062<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1595','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M J;  Mart\u00ednez-Ballesteros, M;  Mart\u00ednez-\u00c1lvarez, F;  Troncoso, A;  Asencio-Cort\u00e9s, G<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/from-simple-to-complex-a-sequential-method-for-enhancing-time-series-forecasting-with-deep-learning\/\">From simple to complex: a sequential method for enhancing time series forecasting with deep learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Logic Journal of the IGPL, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. N\/A, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1596\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1596','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1596\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1596','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1596\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1093\/jigpal\/jzae030,<br \/>\r\ntitle = {From simple to complex: a sequential method for enhancing time series forecasting with deep learning},<br \/>\r\nauthor = {M J Jim\u00e9nez-Navarro and M Mart\u00ednez-Ballesteros and F Mart\u00ednez-\u00c1lvarez and A Troncoso and G Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1093\/jigpal\/jzae030},<br \/>\r\ndoi = {10.1093\/jigpal\/jzae030},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Logic Journal of the IGPL},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {N\/A},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1596','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1596\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1093\/jigpal\/jzae030\" title=\"https:\/\/doi.org\/10.1093\/jigpal\/jzae030\" target=\"_blank\">https:\/\/doi.org\/10.1093\/jigpal\/jzae030<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/jigpal\/jzae030\" title=\"DOI de seguimiento:10.1093\/jigpal\/jzae030\" target=\"_blank\">doi:10.1093\/jigpal\/jzae030<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1596','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, Manuel J.;  Lovri\u0107, Mario;  Kecorius, Simonas;  Nyarko, Emmanuel Karlo;  Mart\u00ednez-Ballesteros, Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1561','tp_links')\" style=\"cursor:pointer;\">Explainable deep learning on multi-target time series forecasting: An air pollution use case<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Results in Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 24, <\/span><span class=\"tp_pub_additional_pages\">pp. 103290, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1561\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1561','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1561\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1561','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1561\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.rineng.2024.103290,<br \/>\r\ntitle = {Explainable deep learning on multi-target time series forecasting: An air pollution use case},<br \/>\r\nauthor = {Manuel J. Jim\u00e9nez-Navarro and Mario Lovri\u0107 and Simonas Kecorius and Emmanuel Karlo Nyarko and Mar\u00eda Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.rineng.2024.103290},<br \/>\r\ndoi = {10.1016\/j.rineng.2024.103290},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Results in Engineering},<br \/>\r\nvolume = {24},<br \/>\r\npages = {103290},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1561','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1561\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.rineng.2024.103290\" title=\"https:\/\/doi.org\/10.1016\/j.rineng.2024.103290\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.rineng.2024.103290<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.rineng.2024.103290\" title=\"DOI de seguimiento:10.1016\/j.rineng.2024.103290\" target=\"_blank\">doi:10.1016\/j.rineng.2024.103290<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1561','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Linares-Barrera, Maria Lourdes;  Jimenez-Navarro, Manuel J.;  Brito, Isabel Sofia;  Riquelme, Jos\u00e9 C.;  Mart\u00ednez-Ballesteros, Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1563','tp_links')\" style=\"cursor:pointer;\">Evolutionary Feature Selection for Time-Series Forecasting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Proceedings of the 39th ACM\/SIGAPP Symposium on Applied Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 395-399, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1563\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1563','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1563\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1563','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1563\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3605098.3636191,<br \/>\r\ntitle = {Evolutionary Feature Selection for Time-Series Forecasting},<br \/>\r\nauthor = {Maria Lourdes Linares-Barrera and Manuel J. Jimenez-Navarro and Isabel Sofia Brito and Jos\u00e9 C. Riquelme and Mar\u00eda Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3605098.3636191},<br \/>\r\ndoi = {10.1145\/3605098.3636191},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Proceedings of the 39th ACM\/SIGAPP Symposium on Applied Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {395-399},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1563','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1563\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3605098.3636191\" title=\"https:\/\/doi.org\/10.1145\/3605098.3636191\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3605098.3636191<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3605098.3636191\" title=\"DOI de seguimiento:10.1145\/3605098.3636191\" target=\"_blank\">doi:10.1145\/3605098.3636191<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1563','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Linares-Barrera, Mar\u00eda Lourdes;  Navarro, Manuel J. Jim\u00e9nez;  Riquelme, Jos\u00e9 C.;  Mart\u00ednez-Ballesteros, Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1565','tp_links')\" style=\"cursor:pointer;\">Multi-Objective Lagged Feature Selection Based on\u00a0Dependence Coefficient for\u00a0Time-Series Forecasting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 81-90, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1565\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1565','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1565\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1565','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1565\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-62799-6_9,<br \/>\r\ntitle = {Multi-Objective Lagged Feature Selection Based on\u00a0Dependence Coefficient for\u00a0Time-Series Forecasting},<br \/>\r\nauthor = {Mar\u00eda Lourdes Linares-Barrera and Manuel J. Jim\u00e9nez Navarro and Jos\u00e9 C. Riquelme and Mar\u00eda Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-62799-6_9},<br \/>\r\ndoi = {10.1007\/978-3-031-62799-6_9},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {81-90},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1565','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1565\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-62799-6_9\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-62799-6_9\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-62799-6_9<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-62799-6_9\" title=\"DOI de seguimiento:10.1007\/978-3-031-62799-6_9\" target=\"_blank\">doi:10.1007\/978-3-031-62799-6_9<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1565','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M. J.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Asencio-Cort\u00e9s, G.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1562','tp_links')\" style=\"cursor:pointer;\">Explaining deep learning models for ozone pollution prediction via embedded feature selection<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Applied Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. 157, <\/span><span class=\"tp_pub_additional_pages\">pp. 111504, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1562\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1562','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1562\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1562','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1562\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.asoc.2024.111504,<br \/>\r\ntitle = {Explaining deep learning models for ozone pollution prediction via embedded feature selection},<br \/>\r\nauthor = {M. J. Jim\u00e9nez-Navarro and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and G. Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.asoc.2024.111504},<br \/>\r\ndoi = {10.1016\/j.asoc.2024.111504},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Applied Soft Computing},<br \/>\r\nvolume = {157},<br \/>\r\npages = {111504},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1562','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1562\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.asoc.2024.111504\" title=\"https:\/\/doi.org\/10.1016\/j.asoc.2024.111504\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.asoc.2024.111504<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.asoc.2024.111504\" title=\"DOI de seguimiento:10.1016\/j.asoc.2024.111504\" target=\"_blank\">doi:10.1016\/j.asoc.2024.111504<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1562','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M. J.;  Troncoso-Garc\u00eda, A. R.;  Troncoso, A.;  Mart\u00ednez-\u00c1lvarez, F.;  Mart\u00ednez-Ballesteros, M.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1594','tp_links')\" style=\"cursor:pointer;\">Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">2024 International Conference on Smart Systems and Technologies (SST), <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 153-158, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1594\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1594','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1594\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1594','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1594\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1109\/sst61991.2024.10755283,<br \/>\r\ntitle = {Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting},<br \/>\r\nauthor = {M. J. Jim\u00e9nez-Navarro and A. R. Troncoso-Garc\u00eda and A. Troncoso and F. Mart\u00ednez-\u00c1lvarez and M. Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1109\/sst61991.2024.10755283},<br \/>\r\ndoi = {10.1109\/sst61991.2024.10755283},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {2024 International Conference on Smart Systems and Technologies (SST)},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {153-158},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1594','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1594\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1109\/sst61991.2024.10755283\" title=\"https:\/\/doi.org\/10.1109\/sst61991.2024.10755283\" target=\"_blank\">https:\/\/doi.org\/10.1109\/sst61991.2024.10755283<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/sst61991.2024.10755283\" title=\"DOI de seguimiento:10.1109\/sst61991.2024.10755283\" target=\"_blank\">doi:10.1109\/sst61991.2024.10755283<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1594','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, Manuel J.;  Vega-M\u00e1rquez, Bel\u00e9n;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Carranza-Garc\u00eda, Manuel;  Mart\u00ednez-Ballesteros, Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1569','tp_links')\" style=\"cursor:pointer;\">Association Rule Analysis of\u00a0Student Satisfaction Surveys for\u00a0Teaching Quality Evaluation<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Networks and Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 319-328, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1569\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1569','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1569\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1569','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1569\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42519-6_30,<br \/>\r\ntitle = {Association Rule Analysis of\u00a0Student Satisfaction Surveys for\u00a0Teaching Quality Evaluation},<br \/>\r\nauthor = {Manuel J. Jim\u00e9nez-Navarro and Bel\u00e9n Vega-M\u00e1rquez and Jos\u00e9 Mar\u00eda Luna-Romera and Manuel Carranza-Garc\u00eda and Mar\u00eda Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30},<br \/>\r\ndoi = {10.1007\/978-3-031-42519-6_30},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Networks and Systems},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {319-328},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1569','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1569\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-42519-6_30\" title=\"DOI de seguimiento:10.1007\/978-3-031-42519-6_30\" target=\"_blank\">doi:10.1007\/978-3-031-42519-6_30<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1569','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, Manuel Jes\u00fas;  Mart\u00ednez-Ballesteros, Mar\u00eda;  Brito, Isabel Sofia Sousa;  Mart\u00ednez-\u00c1lvarez, Francisco;  Asencio-Cort\u00e9s, Gualberto<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1573','tp_links')\" style=\"cursor:pointer;\">Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for\u00a0Feature Selection<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Networks and Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 557-566, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1573\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1573','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1573\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1573','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1573\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-18050-7_54,<br \/>\r\ntitle = {Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for\u00a0Feature Selection},<br \/>\r\nauthor = {Manuel Jes\u00fas Jim\u00e9nez-Navarro and Mar\u00eda Mart\u00ednez-Ballesteros and Isabel Sofia Sousa Brito and Francisco Mart\u00ednez-\u00c1lvarez and Gualberto Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-18050-7_54},<br \/>\r\ndoi = {10.1007\/978-3-031-18050-7_54},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Networks and Systems},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {557-566},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1573','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1573\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-18050-7_54\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-18050-7_54\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-18050-7_54<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-18050-7_54\" title=\"DOI de seguimiento:10.1007\/978-3-031-18050-7_54\" target=\"_blank\">doi:10.1007\/978-3-031-18050-7_54<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1573','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Linares-Barrera, M. Lourdes;  Mart\u00ednez-Ballesteros, Mar\u00eda;  Garc\u00eda-Heredia, Jos\u00e9 M.;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1599','tp_links')\" style=\"cursor:pointer;\">A Feature Selection and\u00a0Association Rule Approach to\u00a0Identify Genes Associated with\u00a0Metastasis and\u00a0Low Survival in\u00a0Sarcoma<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 731-742, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1599\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1599','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1599\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1599','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1599\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-40725-3_62,<br \/>\r\ntitle = {A Feature Selection and\u00a0Association Rule Approach to\u00a0Identify Genes Associated with\u00a0Metastasis and\u00a0Low Survival in\u00a0Sarcoma},<br \/>\r\nauthor = {M. Lourdes Linares-Barrera and Mar\u00eda Mart\u00ednez-Ballesteros and Jos\u00e9 M. Garc\u00eda-Heredia and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-40725-3_62},<br \/>\r\ndoi = {10.1007\/978-3-031-40725-3_62},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {731-742},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1599','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1599\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-40725-3_62\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-40725-3_62\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-40725-3_62<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-40725-3_62\" title=\"DOI de seguimiento:10.1007\/978-3-031-40725-3_62\" target=\"_blank\">doi:10.1007\/978-3-031-40725-3_62<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1599','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Habtemariam, Ejigu Tefera;  Kekeba, Kula;  Mart\u00ednez-Ballesteros, Mar\u00eda;  Mart\u00ednez-\u00c1lvarez, Francisco<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-bayesian-optimization-based-lstm-model-for-wind-power-forecasting-in-the-adama-district-ethiopia\/\">A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Energies, <\/span><span class=\"tp_pub_additional_volume\">vol. 16, <\/span><span class=\"tp_pub_additional_pages\">pp. 2317, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1598\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1598','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1598\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1598','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1598\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.3390\/en16052317,<br \/>\r\ntitle = {A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia},<br \/>\r\nauthor = {Ejigu Tefera Habtemariam and Kula Kekeba and Mar\u00eda Mart\u00ednez-Ballesteros and Francisco Mart\u00ednez-\u00c1lvarez},<br \/>\r\nurl = {https:\/\/doi.org\/10.3390\/en16052317},<br \/>\r\ndoi = {10.3390\/en16052317},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Energies},<br \/>\r\nvolume = {16},<br \/>\r\npages = {2317},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1598','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1598\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.3390\/en16052317\" title=\"https:\/\/doi.org\/10.3390\/en16052317\" target=\"_blank\">https:\/\/doi.org\/10.3390\/en16052317<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/en16052317\" title=\"DOI de seguimiento:10.3390\/en16052317\" target=\"_blank\">doi:10.3390\/en16052317<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1598','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, Manuel J.;  Mart\u00ednez-Ballesteros, Mar\u00eda;  Mart\u00ednez-\u00c1lvarez, Francisco;  Asencio-Cort\u00e9s, Gualberto<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-new-deep-learning-architecture-with-inductive-bias-balance-for-transformer-oil-temperature-forecasting\/\">A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Journal of Big Data, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_pages\">pp. N\/A, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1567\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1567','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1567\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1567','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1567\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1186\/s40537-023-00745-0,<br \/>\r\ntitle = {A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting},<br \/>\r\nauthor = {Manuel J. Jim\u00e9nez-Navarro and Mar\u00eda Mart\u00ednez-Ballesteros and Francisco Mart\u00ednez-\u00c1lvarez and Gualberto Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1186\/s40537-023-00745-0},<br \/>\r\ndoi = {10.1186\/s40537-023-00745-0},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Journal of Big Data},<br \/>\r\nvolume = {10},<br \/>\r\npages = {N\/A},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1567','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1567\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1186\/s40537-023-00745-0\" title=\"https:\/\/doi.org\/10.1186\/s40537-023-00745-0\" target=\"_blank\">https:\/\/doi.org\/10.1186\/s40537-023-00745-0<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1186\/s40537-023-00745-0\" title=\"DOI de seguimiento:10.1186\/s40537-023-00745-0\" target=\"_blank\">doi:10.1186\/s40537-023-00745-0<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1567','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Troncoso-Garc\u00eda, A. R.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Troncoso, A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1537','tp_links')\" style=\"cursor:pointer;\">A new approach based on association rules to add explainability to time series forecasting models<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Fusion, <\/span><span class=\"tp_pub_additional_volume\">vol. 94, <\/span><span class=\"tp_pub_additional_pages\">pp. 169-180, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1566-2535<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1537','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1537','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1537\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1537','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1537\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{TRONCOSOGARCIA2023169,<br \/>\r\ntitle = {A new approach based on association rules to add explainability to time series forecasting models},<br \/>\r\nauthor = {A. R. Troncoso-Garc\u00eda and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and A. Troncoso},<br \/>\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1566253523000295},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.inffus.2023.01.021},<br \/>\r\nissn = {1566-2535},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Information Fusion},<br \/>\r\nvolume = {94},<br \/>\r\npages = {169-180},<br \/>\r\nabstract = {Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information from large datasets. Despite the successful application to many research fields, it is widely known that some of these solutions based on artificial intelligence are considered black-box models, meaning that most experts find difficult to explain and interpret the models and why they generate such outputs. In this context, explainable artificial intelligence is emerging with the aim of providing black-box models with sufficient interpretability. Thus, models could be easily understood and further applied. This work proposes a novel method to explain black-box models, by using numeric association rules to explain and interpret multi-step time series forecasting models. Thus, a multi-objective algorithm is used to discover quantitative association rules from the target model. Then, visual explanation techniques are applied to make the rules more interpretable. Data from Spanish electricity energy consumption has been used to assess the suitability of the proposal.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1537','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1537\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information from large datasets. Despite the successful application to many research fields, it is widely known that some of these solutions based on artificial intelligence are considered black-box models, meaning that most experts find difficult to explain and interpret the models and why they generate such outputs. In this context, explainable artificial intelligence is emerging with the aim of providing black-box models with sufficient interpretability. Thus, models could be easily understood and further applied. This work proposes a novel method to explain black-box models, by using numeric association rules to explain and interpret multi-step time series forecasting models. Thus, a multi-objective algorithm is used to discover quantitative association rules from the target model. Then, visual explanation techniques are applied to make the rules more interpretable. Data from Spanish electricity energy consumption has been used to assess the suitability of the proposal.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1537','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1537\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1566253523000295\" title=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1566253523000295\" target=\"_blank\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1566253523000295<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.inffus.2023.01.021\" title=\"DOI de seguimiento:https:\/\/doi.org\/10.1016\/j.inffus.2023.01.021\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.inffus.2023.01.021<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1537','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M. J.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Asencio-Cort\u00e9s, G.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1557','tp_links')\" style=\"cursor:pointer;\">PHILNet: A novel efficient approach for time series forecasting using deep learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 632, <\/span><span class=\"tp_pub_additional_pages\">pp. 815-832, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 0020-0255<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1557\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1557','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1557\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1557','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1557\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1557','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1557\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{JIMENEZNAVARRO2023815,<br \/>\r\ntitle = {PHILNet: A novel efficient approach for time series forecasting using deep learning},<br \/>\r\nauthor = {M. J. Jim\u00e9nez-Navarro and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and G. Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523003183},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.ins.2023.03.021},<br \/>\r\nissn = {0020-0255},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nvolume = {632},<br \/>\r\npages = {815-832},<br \/>\r\nabstract = {Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. To make the forecasting, historical data is utilized due to the causal nature of the time series. Several deep learning algorithms have been presented in this area, where the input is processed through a series of non-linear functions to produce the output. We present a novel strategy to improve the performance of deep learning models in time series forecasting in terms of efficiency while reaching similar effectiveness. This approach separates the model into levels, starting with the easiest and continuing to the most difficult. The simpler levels deal with smoothed versions of the input, whereas the most sophisticated level deals with the raw data. This strategy seeks to mimic the human learning process, in which basic tasks are completed initially, followed by more precise and sophisticated ones. Our method achieved promising results, obtaining a 35% improvement in mean squared error and a 2.6 time decrease in training time compared with the best models found in a variety of time series.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1557','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1557\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Time series is one of the most common data types in the industry nowadays. Forecasting the future of a time series behavior can be useful in planning ahead, saving time, resources, and helping avoid undesired scenarios. To make the forecasting, historical data is utilized due to the causal nature of the time series. Several deep learning algorithms have been presented in this area, where the input is processed through a series of non-linear functions to produce the output. We present a novel strategy to improve the performance of deep learning models in time series forecasting in terms of efficiency while reaching similar effectiveness. This approach separates the model into levels, starting with the easiest and continuing to the most difficult. The simpler levels deal with smoothed versions of the input, whereas the most sophisticated level deals with the raw data. This strategy seeks to mimic the human learning process, in which basic tasks are completed initially, followed by more precise and sophisticated ones. Our method achieved promising results, obtaining a 35% improvement in mean squared error and a 2.6 time decrease in training time compared with the best models found in a variety of time series.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1557','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1557\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523003183\" title=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523003183\" target=\"_blank\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025523003183<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.ins.2023.03.021\" title=\"DOI de seguimiento:https:\/\/doi.org\/10.1016\/j.ins.2023.03.021\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.ins.2023.03.021<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1557','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M. J.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Asencio-Cort\u00e9s, G.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1570','tp_links')\" style=\"cursor:pointer;\">Embedded Temporal Feature Selection for\u00a0Time Series Forecasting Using Deep Learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 15-26, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1570\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1570','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1570\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1570','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1570\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-43078-7_2,<br \/>\r\ntitle = {Embedded Temporal Feature Selection for\u00a0Time Series Forecasting Using Deep Learning},<br \/>\r\nauthor = {M. J. Jim\u00e9nez-Navarro and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and G. Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-43078-7_2},<br \/>\r\ndoi = {10.1007\/978-3-031-43078-7_2},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {15-26},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1570','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1570\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-43078-7_2\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-43078-7_2\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-43078-7_2<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-43078-7_2\" title=\"DOI de seguimiento:10.1007\/978-3-031-43078-7_2\" target=\"_blank\">doi:10.1007\/978-3-031-43078-7_2<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1570','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, M. J.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Asencio-Cort\u00e9s, G.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1571','tp_links')\" style=\"cursor:pointer;\">Explaining Learned Patterns in\u00a0Deep Learning by\u00a0Association Rules Mining<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Networks and Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 132-141, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1571\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1571','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1571\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1571','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1571\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42536-3_13,<br \/>\r\ntitle = {Explaining Learned Patterns in\u00a0Deep Learning by\u00a0Association Rules Mining},<br \/>\r\nauthor = {M. J. Jim\u00e9nez-Navarro and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and G. Asencio-Cort\u00e9s},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42536-3_13},<br \/>\r\ndoi = {10.1007\/978-3-031-42536-3_13},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Networks and Systems},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {132-141},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1571','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1571\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-42536-3_13\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42536-3_13\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42536-3_13<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-42536-3_13\" title=\"DOI de seguimiento:10.1007\/978-3-031-42536-3_13\" target=\"_blank\">doi:10.1007\/978-3-031-42536-3_13<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1571','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Tefera, E.;  Mart\u00ednez-Ballesteros, M.;  Troncoso, A.;  Mart\u00ednez-\u00c1lvarez, F.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1600','tp_links')\" style=\"cursor:pointer;\">A New Hybrid CNN-LSTM for\u00a0Wind Power Forecasting in\u00a0Ethiopia<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 207-218, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1600\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1600','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1600\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1600','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1600\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-40725-3_18,<br \/>\r\ntitle = {A New Hybrid CNN-LSTM for\u00a0Wind Power Forecasting in\u00a0Ethiopia},<br \/>\r\nauthor = {E. Tefera and M. Mart\u00ednez-Ballesteros and A. Troncoso and F. Mart\u00ednez-\u00c1lvarez},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-40725-3_18},<br \/>\r\ndoi = {10.1007\/978-3-031-40725-3_18},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {207-218},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1600','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1600\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-40725-3_18\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-40725-3_18\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-40725-3_18<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-40725-3_18\" title=\"DOI de seguimiento:10.1007\/978-3-031-40725-3_18\" target=\"_blank\">doi:10.1007\/978-3-031-40725-3_18<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1600','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Troncoso-Garc\u00eda, A. R.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Troncoso, A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1601','tp_links')\" style=\"cursor:pointer;\">Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 626-637, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1601\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1601','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1601\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1601','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1601\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-43085-5_50,<br \/>\r\ntitle = {Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals},<br \/>\r\nauthor = {A. R. Troncoso-Garc\u00eda and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and A. Troncoso},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-43085-5_50},<br \/>\r\ndoi = {10.1007\/978-3-031-43085-5_50},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {626-637},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1601','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1601\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-43085-5_50\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-43085-5_50\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-43085-5_50<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-43085-5_50\" title=\"DOI de seguimiento:10.1007\/978-3-031-43085-5_50\" target=\"_blank\">doi:10.1007\/978-3-031-43085-5_50<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1601','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Navarro, Manuel Jesus Jimenez;  Ballesteros, Maria Martinez;  Brito, Isabel Sofia;  Alvarez, Francisco Martinez;  Cortes, Gualberto Asencio<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1568','tp_links')\" style=\"cursor:pointer;\">A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Proceedings of the 38th ACM\/SIGAPP Symposium on Applied Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 441-448, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1568\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1568','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1568\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1568','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1568\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3555776.3578634,<br \/>\r\ntitle = {A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal},<br \/>\r\nauthor = {Manuel Jesus Jimenez Navarro and Maria Martinez Ballesteros and Isabel Sofia Brito and Francisco Martinez Alvarez and Gualberto Asencio Cortes},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3555776.3578634},<br \/>\r\ndoi = {10.1145\/3555776.3578634},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Proceedings of the 38th ACM\/SIGAPP Symposium on Applied Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {441-448},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1568','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1568\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3555776.3578634\" title=\"https:\/\/doi.org\/10.1145\/3555776.3578634\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3555776.3578634<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3555776.3578634\" title=\"DOI de seguimiento:10.1145\/3555776.3578634\" target=\"_blank\">doi:10.1145\/3555776.3578634<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1568','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Garcia, Angela Troncoso;  Lora, Alicia Troncoso;  Martinez-Alvarez, Francisco;  Ballesteros, Maria Martinez<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1602','tp_links')\" style=\"cursor:pointer;\">Evolutionary computation to explain deep learning models for time series forecasting<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Proceedings of the 38th ACM\/SIGAPP Symposium on Applied Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 433-436, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1602\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1602','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1602\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1602','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1602\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3555776.3578994,<br \/>\r\ntitle = {Evolutionary computation to explain deep learning models for time series forecasting},<br \/>\r\nauthor = {Angela Troncoso Garcia and Alicia Troncoso Lora and Francisco Martinez-Alvarez and Maria Martinez Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3555776.3578994},<br \/>\r\ndoi = {10.1145\/3555776.3578994},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Proceedings of the 38th ACM\/SIGAPP Symposium on Applied Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {433-436},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1602','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1602\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3555776.3578994\" title=\"https:\/\/doi.org\/10.1145\/3555776.3578994\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3555776.3578994<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3555776.3578994\" title=\"DOI de seguimiento:10.1145\/3555776.3578994\" target=\"_blank\">doi:10.1145\/3555776.3578994<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1602','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Garc\u00eda-Heredia, Jos\u00e9 Manuel;  P\u00e9rez, Marco;  Verdugo-Sivianes, Eva M.;  Mart\u00ednez-Ballesteros, Mar\u00eda M.;  Ortega-Campos, Sara M.;  Carnero, Amancio<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-new-treatment-for-sarcoma-extracted-from-combination-of-mirna-deregulation-and-gene-association-rules\/\">A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Signal Transduction and Targeted Therapy, <\/span><span class=\"tp_pub_additional_volume\">vol. 8, <\/span><span class=\"tp_pub_additional_pages\">pp. N\/A, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1597\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1597','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1597\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1597','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1597\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1038\/s41392-023-01470-z,<br \/>\r\ntitle = {A new treatment for sarcoma extracted from combination of miRNA deregulation and gene association rules},<br \/>\r\nauthor = {Jos\u00e9 Manuel Garc\u00eda-Heredia and Marco P\u00e9rez and Eva M. Verdugo-Sivianes and Mar\u00eda M. Mart\u00ednez-Ballesteros and Sara M. Ortega-Campos and Amancio Carnero},<br \/>\r\nurl = {https:\/\/doi.org\/10.1038\/s41392-023-01470-z},<br \/>\r\ndoi = {10.1038\/s41392-023-01470-z},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Signal Transduction and Targeted Therapy},<br \/>\r\nvolume = {8},<br \/>\r\npages = {N\/A},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1597','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1597\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1038\/s41392-023-01470-z\" title=\"https:\/\/doi.org\/10.1038\/s41392-023-01470-z\" target=\"_blank\">https:\/\/doi.org\/10.1038\/s41392-023-01470-z<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1038\/s41392-023-01470-z\" title=\"DOI de seguimiento:10.1038\/s41392-023-01470-z\" target=\"_blank\">doi:10.1038\/s41392-023-01470-z<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1597','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Segarra-Mart\u00edn, C.;  Mart\u00ednez-Ballesteros, M.;  Troncoso, A.;  Mart\u00ednez-\u00c1lvarez, F.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1603','tp_links')\" style=\"cursor:pointer;\">A novel approach to discover numerical association based on the coronavirus optimization algorithm<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 1148-1151, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1603\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1603','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1603\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1603','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1603\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3477314.3507343,<br \/>\r\ntitle = {A novel approach to discover numerical association based on the coronavirus optimization algorithm},<br \/>\r\nauthor = {C. Segarra-Mart\u00edn and M. Mart\u00ednez-Ballesteros and A. Troncoso and F. Mart\u00ednez-\u00c1lvarez},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3477314.3507343},<br \/>\r\ndoi = {10.1145\/3477314.3507343},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {1148-1151},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1603','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1603\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3477314.3507343\" title=\"https:\/\/doi.org\/10.1145\/3477314.3507343\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3477314.3507343<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3477314.3507343\" title=\"DOI de seguimiento:10.1145\/3477314.3507343\" target=\"_blank\">doi:10.1145\/3477314.3507343<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1603','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Troncoso-Garc\u00eda, A. R.;  Mart\u00ednez-Ballesteros, M.;  Mart\u00ednez-\u00c1lvarez, F.;  Troncoso, A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1604','tp_links')\" style=\"cursor:pointer;\">Explainable machine learning for sleep apnea prediction<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Procedia Computer Science, <\/span><span class=\"tp_pub_additional_volume\">vol. 207, <\/span><span class=\"tp_pub_additional_pages\">pp. 2930-2939, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1604\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1604','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1604\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1604','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1604\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.procs.2022.09.351,<br \/>\r\ntitle = {Explainable machine learning for sleep apnea prediction},<br \/>\r\nauthor = {A. R. Troncoso-Garc\u00eda and M. Mart\u00ednez-Ballesteros and F. Mart\u00ednez-\u00c1lvarez and A. Troncoso},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.procs.2022.09.351},<br \/>\r\ndoi = {10.1016\/j.procs.2022.09.351},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Procedia Computer Science},<br \/>\r\nvolume = {207},<br \/>\r\npages = {2930-2939},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1604','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1604\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.procs.2022.09.351\" title=\"https:\/\/doi.org\/10.1016\/j.procs.2022.09.351\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.procs.2022.09.351<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.procs.2022.09.351\" title=\"DOI de seguimiento:10.1016\/j.procs.2022.09.351\" target=\"_blank\">doi:10.1016\/j.procs.2022.09.351<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1604','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mac\u00edas-Garc\u00eda, Laura;  Mart\u00ednez-Ballesteros, Mar\u00eda;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Garc\u00eda-Heredia, Jos\u00e9 M.;  Garc\u00eda-Guti\u00e9rrez, Jorge;  Riquelme-Santos, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1605','tp_links')\" style=\"cursor:pointer;\">Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Artificial Intelligence in Medicine, <\/span><span class=\"tp_pub_additional_volume\">vol. 110, <\/span><span class=\"tp_pub_additional_pages\">pp. 101976, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1605\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1605','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1605\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1605','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1605\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.artmed.2020.101976,<br \/>\r\ntitle = {Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance},<br \/>\r\nauthor = {Laura Mac\u00edas-Garc\u00eda and Mar\u00eda Mart\u00ednez-Ballesteros and Jos\u00e9 Mar\u00eda Luna-Romera and Jos\u00e9 M. Garc\u00eda-Heredia and Jorge Garc\u00eda-Guti\u00e9rrez and Jos\u00e9 C. Riquelme-Santos},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.artmed.2020.101976},<br \/>\r\ndoi = {10.1016\/j.artmed.2020.101976},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Artificial Intelligence in Medicine},<br \/>\r\nvolume = {110},<br \/>\r\npages = {101976},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1605','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1605\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1016\/j.artmed.2020.101976\" title=\"https:\/\/doi.org\/10.1016\/j.artmed.2020.101976\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.artmed.2020.101976<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.artmed.2020.101976\" title=\"DOI de seguimiento:10.1016\/j.artmed.2020.101976\" target=\"_blank\">doi:10.1016\/j.artmed.2020.101976<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1605','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Luna-Romera, J M;  N\u00fa\u00f1ez-Hern\u00e1ndez, F;  Mart\u00ednez-Ballesteros, M;  Riquelme, J C;  Ib\u00e1\u00f1ez, C. Usabiaga<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/analysis-of-the-evolution-of-the-spanish-labour-market-through-unsupervised-learning\/\">Analysis of the evolution of the Spanish labour market through unsupervised learning<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">IEEE Access, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018) 4.098)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1524','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1524\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1524','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1524\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Luna-Romera2019b,<br \/>\r\ntitle = {Analysis of the evolution of the Spanish labour market through unsupervised learning},<br \/>\r\nauthor = {J M Luna-Romera and F N\u00fa\u00f1ez-Hern\u00e1ndez and M Mart\u00ednez-Ballesteros and J C Riquelme and C. Usabiaga Ib\u00e1\u00f1ez},<br \/>\r\ndoi = {10.1109\/ACCESS.2019.2935386},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-09-02},<br \/>\r\njournal = {IEEE Access},<br \/>\r\nnote = {JCR (2018) 4.098},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1524','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1524\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/ACCESS.2019.2935386\" title=\"DOI de seguimiento:10.1109\/ACCESS.2019.2935386\" target=\"_blank\">doi:10.1109\/ACCESS.2019.2935386<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1524','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Luna-Romera, J M;  Mart\u00ednez-Ballesteros, M;  Garc\u00eda-Guti\u00e9rrez, J;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/external-clustering-validity-index-based-on-chi-squared-statistical-test-5\/\">External Clustering Validity Index based on chi-squared statistical test<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Sciences, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (JCR(2017): 4,305)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1489\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1489','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1489\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1489','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1489\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Luna-Romera2019,<br \/>\r\ntitle = {External Clustering Validity Index based on chi-squared statistical test},<br \/>\r\nauthor = {J M Luna-Romera and M Mart\u00ednez-Ballesteros and J Garc\u00eda-Guti\u00e9rrez and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.ins.2019.02.046},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-02-18},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nnote = {JCR(2017): 4,305},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1489','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1489\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ins.2019.02.046\" title=\"DOI de seguimiento:10.1016\/j.ins.2019.02.046\" target=\"_blank\">doi:10.1016\/j.ins.2019.02.046<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1489','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00edn, D;  Mart\u00ednez-Ballesteros, M;  Garc\u00eda-Gil, D;  Alcal\u00e1-Fdez, J;  Herrera, F;  Riquelme-Santos, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1483','tp_links')\" style=\"cursor:pointer;\">MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Knowledge-Based System, <\/span><span class=\"tp_pub_additional_volume\">vol. 53, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 176-192, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR (2016): 4.529)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1483\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1483','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1483\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1483','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1483\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mmgahr18,<br \/>\r\ntitle = {MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems},<br \/>\r\nauthor = {D Mart\u00edn and M Mart\u00ednez-Ballesteros and D Garc\u00eda-Gil and J Alcal\u00e1-Fdez and F Herrera and J C Riquelme-Santos},<br \/>\r\ndoi = {10.1016\/j.knosys.2018.04.037},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\njournal = {Knowledge-Based System},<br \/>\r\nvolume = {53},<br \/>\r\nnumber = {1},<br \/>\r\npages = {176-192},<br \/>\r\nnote = {JCR (2016): 4.529},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1483','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1483\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.knosys.2018.04.037\" title=\"DOI de seguimiento:10.1016\/j.knosys.2018.04.037\" target=\"_blank\">doi:10.1016\/j.knosys.2018.04.037<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1483','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Garc\u00eda-Heredia, J M;  Nepomuceno-Chamorro, I;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1475','tp_links')\" style=\"cursor:pointer;\">Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Information Fusion, <\/span><span class=\"tp_pub_additional_volume\">vol. 36, <\/span><span class=\"tp_pub_additional_pages\">pp. 114-129, <\/span><span class=\"tp_pub_additional_year\">2017<\/span><span class=\"tp_pub_additional_note\">, (JCR (2015): 4.353, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1475\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1475','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1475\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1475','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1475\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mgnr17,<br \/>\r\ntitle = {Machine learning techniques to discover genes with Potential Prognosis Role in Alzheimer's Disease using different biological sources},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and J M Garc\u00eda-Heredia and I Nepomuceno-Chamorro and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.inffus.2016.11.005},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\njournal = {Information Fusion},<br \/>\r\nvolume = {36},<br \/>\r\npages = {114-129},<br \/>\r\nnote = {JCR (2015): 4.353, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1475','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1475\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.inffus.2016.11.005\" title=\"DOI de seguimiento:10.1016\/j.inffus.2016.11.005\" target=\"_blank\">doi:10.1016\/j.inffus.2016.11.005<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1475','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2016\">2016<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Mart\u00ednez-\u00c1lvarez, F;  Troncoso, A;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1462','tp_links')\" style=\"cursor:pointer;\">Improving a multi-objective evolutionary algorithm to discover quantitative association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Knowledge and Information Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. 49, <\/span><span class=\"tp_pub_additional_number\">no 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 481-509, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (JCR (2016): 2.004)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1462\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1462','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1462\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1462','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1462\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mmtr16,<br \/>\r\ntitle = {Improving a multi-objective evolutionary algorithm to discover quantitative association rules},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and F Mart\u00ednez-\u00c1lvarez and A Troncoso and J C Riquelme},<br \/>\r\ndoi = {10.1007\/s10115-015-0911-y},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {Knowledge and Information Systems},<br \/>\r\nvolume = {49},<br \/>\r\nnumber = {2},<br \/>\r\npages = {481-509},<br \/>\r\nnote = {JCR (2016): 2.004},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1462','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1462\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s10115-015-0911-y\" title=\"DOI de seguimiento:10.1007\/s10115-015-0911-y\" target=\"_blank\">doi:10.1007\/s10115-015-0911-y<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1462','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Troncoso, A;  Mart\u00ednez-\u00c1lvarez, F;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1467','tp_links')\" style=\"cursor:pointer;\">Obtaining optimal quality measures for quantitative association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Neurocomputing, <\/span><span class=\"tp_pub_additional_volume\">vol. 176, <\/span><span class=\"tp_pub_additional_pages\">pp. 36-47, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (JCR (2016): 3.317, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1467\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1467','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1467\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1467','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1467\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mtmr16,<br \/>\r\ntitle = {Obtaining optimal quality measures for quantitative association rules},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and A Troncoso and F Mart\u00ednez-\u00c1lvarez and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.neucom.2014.10.100},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {176},<br \/>\r\npages = {36-47},<br \/>\r\nnote = {JCR (2016): 3.317, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1467','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1467\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neucom.2014.10.100\" title=\"DOI de seguimiento:10.1016\/j.neucom.2014.10.100\" target=\"_blank\">doi:10.1016\/j.neucom.2014.10.100<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1467','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Luna-Romera, J M;  Mac\u00edas-Garc\u00eda, L;  Garc\u00eda-Guti\u00e9rrez, J;  Mart\u00ednez-Ballesteros, M;  Riquelme, J C;  Gonz\u00e1lez-C\u00e1mpora, R<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1481','tp_links')\" style=\"cursor:pointer;\">A Study of the Suitability of Autoencoders for Preprocessing Data in Breast Cancer Experimentation<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Journal of Biomedical Informatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 72, <\/span><span class=\"tp_pub_additional_number\">no C, <\/span><span class=\"tp_pub_additional_pages\">pp. 33-44, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (JCR (2016): 2.753)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1481\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1481','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1481\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1481','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1481\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{l16,<br \/>\r\ntitle = {A Study of the Suitability of Autoencoders for Preprocessing Data in Breast Cancer Experimentation},<br \/>\r\nauthor = {J M Luna-Romera and L Mac\u00edas-Garc\u00eda and J Garc\u00eda-Guti\u00e9rrez and M Mart\u00ednez-Ballesteros and J C Riquelme and R Gonz\u00e1lez-C\u00e1mpora},<br \/>\r\ndoi = {10.1016\/j.jbi.2017.06.020},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {Journal of Biomedical Informatics},<br \/>\r\nvolume = {72},<br \/>\r\nnumber = {C},<br \/>\r\npages = {33-44},<br \/>\r\nnote = {JCR (2016): 2.753},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1481','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1481\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.jbi.2017.06.020\" title=\"DOI de seguimiento:10.1016\/j.jbi.2017.06.020\" target=\"_blank\">doi:10.1016\/j.jbi.2017.06.020<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1481','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2015\">2015<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Bacardit, J;  Troncoso, A;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1444','tp_links')\" style=\"cursor:pointer;\">Enhancing the scalability of evolutionary algorithms to discover quantitative association rules in large-scale datasets<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Integrated Computer-Aided Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 22, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 21-39, <\/span><span class=\"tp_pub_additional_year\">2015<\/span><span class=\"tp_pub_additional_note\">, (JCR (2015): 4.981, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1444\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1444','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1444\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1444','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1444\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mbtr15,<br \/>\r\ntitle = {Enhancing the scalability of evolutionary algorithms to discover quantitative association rules in large-scale datasets},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and J Bacardit and A Troncoso and J C Riquelme},<br \/>\r\ndoi = {10.3233\/ICA-140479},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-01-01},<br \/>\r\njournal = {Integrated Computer-Aided Engineering},<br \/>\r\nvolume = {22},<br \/>\r\nnumber = {1},<br \/>\r\npages = {21-39},<br \/>\r\nnote = {JCR (2015): 4.981, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1444','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1444\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/ICA-140479\" title=\"DOI de seguimiento:10.3233\/ICA-140479\" target=\"_blank\">doi:10.3233\/ICA-140479<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1444','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2014\">2014<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Nepomuceno-Chamorro, I A;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1425','tp_links')\" style=\"cursor:pointer;\">Discovering gene association networks by multi-objective evolutionary quantitative association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Journal of Computer and Systems Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 89, <\/span><span class=\"tp_pub_additional_number\">no 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 118-136, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (JCR (2014): , Q2)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1425\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1425','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1425\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1425','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1425\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mnr14,<br \/>\r\ntitle = {Discovering gene association networks by multi-objective evolutionary quantitative association rules},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and I A Nepomuceno-Chamorro and J C Riquelme},<br \/>\r\ndoi = {10.1016\/J.JCSS.2013.03.010},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {Journal of Computer and Systems Sciences},<br \/>\r\nvolume = {89},<br \/>\r\nnumber = {1},<br \/>\r\npages = {118-136},<br \/>\r\nnote = {JCR (2014): , Q2},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1425','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1425\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/J.JCSS.2013.03.010\" title=\"DOI de seguimiento:10.1016\/J.JCSS.2013.03.010\" target=\"_blank\">doi:10.1016\/J.JCSS.2013.03.010<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1425','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1426','tp_links')\" style=\"cursor:pointer;\">Discovering quantitative association rules: A novel approach based on evolutionary algorithms<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">AI Communications, <\/span><span class=\"tp_pub_additional_volume\">vol. 27, <\/span><span class=\"tp_pub_additional_number\">no 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 153-165, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (JCR (2014): 0.547, Q4)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1426\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1426','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1426\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1426','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1426\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{m14,<br \/>\r\ntitle = {Discovering quantitative association rules: A novel approach based on evolutionary algorithms},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros},<br \/>\r\ndoi = {10.3233\/AIC-130590},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {AI Communications},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {2},<br \/>\r\npages = {153-165},<br \/>\r\nnote = {JCR (2014): 0.547, Q4},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1426','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1426\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/AIC-130590\" title=\"DOI de seguimiento:10.3233\/AIC-130590\" target=\"_blank\">doi:10.3233\/AIC-130590<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1426','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Mart\u00ednez-\u00c1lvarez, F;  Troncoso, A;  Jc., Riquelme<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1431','tp_links')\" style=\"cursor:pointer;\">Selecting the best measures to discover quantitative association rules<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Neurocomputing, <\/span><span class=\"tp_pub_additional_volume\">vol. 126, <\/span><span class=\"tp_pub_additional_pages\">pp. 3-14, <\/span><span class=\"tp_pub_additional_year\">2014<\/span><span class=\"tp_pub_additional_note\">, (JCR (2014): 2.083, Q2)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1431\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1431','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1431\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1431','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1431\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mmtj14,<br \/>\r\ntitle = {Selecting the best measures to discover quantitative association rules},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and F Mart\u00ednez-\u00c1lvarez and A Troncoso and Riquelme Jc.},<br \/>\r\ndoi = {10.1016\/j.neucom.2013.01.056},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {126},<br \/>\r\npages = {3-14},<br \/>\r\nnote = {JCR (2014): 2.083, Q2},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1431','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1431\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neucom.2013.01.056\" title=\"DOI de seguimiento:10.1016\/j.neucom.2013.01.056\" target=\"_blank\">doi:10.1016\/j.neucom.2013.01.056<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1431','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2011\">2011<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Salcedo-Sanz, S;  Riquelme, J C;  Casanova-Mateo, C;  Camacho, J L<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1403','tp_links')\" style=\"cursor:pointer;\">Evolutionary Association Rules for Total Ozone Content Modeling from Satellite Observations<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Chemometrics and Intelligent Laboratory Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. 109, <\/span><span class=\"tp_pub_additional_number\">no 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 217-227, <\/span><span class=\"tp_pub_additional_year\">2011<\/span><span class=\"tp_pub_additional_note\">, (JCR (2011): 1.920, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1403\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1403','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1403\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1403','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1403\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{msrcc11,<br \/>\r\ntitle = {Evolutionary Association Rules for Total Ozone Content Modeling from Satellite Observations},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and S Salcedo-Sanz and J C Riquelme and C Casanova-Mateo and J L Camacho},<br \/>\r\ndoi = {10.1016\/j.chemolab.2011.09.011},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\njournal = {Chemometrics and Intelligent Laboratory Systems},<br \/>\r\nvolume = {109},<br \/>\r\nnumber = {2},<br \/>\r\npages = {217-227},<br \/>\r\nnote = {JCR (2011): 1.920, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1403','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1403\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.chemolab.2011.09.011\" title=\"DOI de seguimiento:10.1016\/j.chemolab.2011.09.011\" target=\"_blank\">doi:10.1016\/j.chemolab.2011.09.011<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1403','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  A, Troncoso;  F., Mart\u00ednez-\u00c1lvarez;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/an-evolutionary-algorithm-to-discover-quantitative-association-rules-in-multidimensional-time-series-2\/\">An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. 15, <\/span><span class=\"tp_pub_additional_number\">no 10, <\/span><span class=\"tp_pub_additional_pages\">pp. 2065-2084, <\/span><span class=\"tp_pub_additional_year\">2011<\/span><span class=\"tp_pub_additional_note\">, (IF 1.880 24\/99 Int App Q1, 30\/111 Art Int Q2)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1397\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1397','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1397\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1397','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1397\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mmr11,<br \/>\r\ntitle = {An Evolutionary Algorithm to Discover Quantitative Association Rules in Multidimensional Time Series},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and Troncoso A and Mart\u00ednez-\u00c1lvarez F. and J C Riquelme},<br \/>\r\ndoi = {10.1007\/s00500-011-0705-4},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\njournal = {Soft Computing},<br \/>\r\nvolume = {15},<br \/>\r\nnumber = {10},<br \/>\r\npages = {2065-2084},<br \/>\r\nnote = {IF 1.880 24\/99 Int App Q1, 30\/111 Art Int Q2},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1397','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1397\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s00500-011-0705-4\" title=\"DOI de seguimiento:10.1007\/s00500-011-0705-4\" target=\"_blank\">doi:10.1007\/s00500-011-0705-4<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1397','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2010\">2010<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-Ballesteros, M;  Troncoso, A;  Mart\u00ednez-\u00c1lvarez, F;  Jc., Riquelme<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1393','tp_links')\" style=\"cursor:pointer;\">Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Integrated Computer-Aided Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 17, <\/span><span class=\"tp_pub_additional_number\">no 3, <\/span><span class=\"tp_pub_additional_pages\">pp. 227-242, <\/span><span class=\"tp_pub_additional_year\">2010<\/span><span class=\"tp_pub_additional_note\">, (JCR (2010): 2.122, Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1393\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1393','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1393\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1393','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1393\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mtmj10,<br \/>\r\ntitle = {Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution},<br \/>\r\nauthor = {M Mart\u00ednez-Ballesteros and A Troncoso and F Mart\u00ednez-\u00c1lvarez and Riquelme Jc.},<br \/>\r\ndoi = {10.3233\/ICA-2010-0340},<br \/>\r\nyear  = {2010},<br \/>\r\ndate = {2010-01-01},<br \/>\r\njournal = {Integrated Computer-Aided Engineering},<br \/>\r\nvolume = {17},<br \/>\r\nnumber = {3},<br \/>\r\npages = {227-242},<br \/>\r\nnote = {JCR (2010): 2.122, Q1},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1393','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1393\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/ICA-2010-0340\" title=\"DOI de seguimiento:10.3233\/ICA-2010-0340\" target=\"_blank\">doi:10.3233\/ICA-2010-0340<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1393','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"author":1,"featured_media":712,"menu_order":7,"template":"","team_designation":[46],"team_department":[],"class_list":["post-73","team","type-team","status-publish","has-post-thumbnail","hentry","team_designation-catedratica-de-universidad","post-item clearfix"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team\/73","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team"}],"about":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/types\/team"}],"author":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/users\/1"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media\/712"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media?parent=73"}],"wp:term":[{"taxonomy":"team_designation","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_designation?post=73"},{"taxonomy":"team_department","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_department?post=73"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}