{"id":86,"date":"2018-12-03T15:42:20","date_gmt":"2018-12-03T15:42:20","guid":{"rendered":"http:\/\/grupo.us.es\/minerva\/?post_type=team&#038;p=86"},"modified":"2024-12-05T11:05:05","modified_gmt":"2024-12-05T10:05:05","slug":"jose-c-riquelme","status":"publish","type":"team","link":"https:\/\/grupo.us.es\/minerva\/equipo\/jose-c-riquelme\/","title":{"rendered":"Jos\u00e9 C. Riquelme"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">93 registros<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 de 2 <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/jose-c-riquelme\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"p\u00e1gina siguiente\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/jose-c-riquelme\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"\u00faltima p\u00e1gina\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><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\"> 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\"> Campos-Romero, Miguel;  Carranza-Garc\u00eda, Manuel;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1578','tp_links')\" style=\"cursor:pointer;\">Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble 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\">Engineering Applications of Artificial Intelligence, <\/span><span class=\"tp_pub_additional_volume\">vol. 137, <\/span><span class=\"tp_pub_additional_pages\">pp. 109088, <\/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_1578\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1578','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1578\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1578','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1578\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.engappai.2024.109088,<br \/>\r\ntitle = {Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning},<br \/>\r\nauthor = {Miguel Campos-Romero and Manuel Carranza-Garc\u00eda and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.engappai.2024.109088},<br \/>\r\ndoi = {10.1016\/j.engappai.2024.109088},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Engineering Applications of Artificial Intelligence},<br \/>\r\nvolume = {137},<br \/>\r\npages = {109088},<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('1578','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1578\" 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.engappai.2024.109088\" title=\"https:\/\/doi.org\/10.1016\/j.engappai.2024.109088\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.engappai.2024.109088<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.engappai.2024.109088\" title=\"DOI de seguimiento:10.1016\/j.engappai.2024.109088\" target=\"_blank\">doi:10.1016\/j.engappai.2024.109088<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1578','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\"> Sanchez-Lopez, Jose E.;  Sol\u00eds-Garc\u00eda, Javier;  Riquelme, Jose C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1622','tp_links')\" style=\"cursor:pointer;\">Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance 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\">International Journal of Electrical Power &amp;amp; Energy Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. 158, <\/span><span class=\"tp_pub_additional_pages\">pp. 109947, <\/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_1622\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1622','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1622\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1622','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1622\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.ijepes.2024.109947,<br \/>\r\ntitle = {Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance forecasting},<br \/>\r\nauthor = {Jose E. Sanchez-Lopez and Javier Sol\u00eds-Garc\u00eda and Jose C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.ijepes.2024.109947},<br \/>\r\ndoi = {10.1016\/j.ijepes.2024.109947},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {International Journal of Electrical Power &amp; Energy Systems},<br \/>\r\nvolume = {158},<br \/>\r\npages = {109947},<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('1622','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1622\" 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.ijepes.2024.109947\" title=\"https:\/\/doi.org\/10.1016\/j.ijepes.2024.109947\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ijepes.2024.109947<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ijepes.2024.109947\" title=\"DOI de seguimiento:10.1016\/j.ijepes.2024.109947\" target=\"_blank\">doi:10.1016\/j.ijepes.2024.109947<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1622','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\"> Aldarraji, Morteza;  Vega-M\u00e1rquez, Bel\u00e9n;  Pontes, Beatriz;  Mahmood, Basim;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1623','tp_links')\" style=\"cursor:pointer;\">Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence 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\">Heliyon, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_pages\">pp. e25821, <\/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_1623\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1623','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1623\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1623','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1623\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.heliyon.2024.e25821,<br \/>\r\ntitle = {Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models},<br \/>\r\nauthor = {Morteza Aldarraji and Bel\u00e9n Vega-M\u00e1rquez and Beatriz Pontes and Basim Mahmood and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25821},<br \/>\r\ndoi = {10.1016\/j.heliyon.2024.e25821},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Heliyon},<br \/>\r\nvolume = {10},<br \/>\r\npages = {e25821},<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('1623','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1623\" 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.heliyon.2024.e25821\" title=\"https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25821\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25821<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.heliyon.2024.e25821\" title=\"DOI de seguimiento:10.1016\/j.heliyon.2024.e25821\" target=\"_blank\">doi:10.1016\/j.heliyon.2024.e25821<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1623','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, Jos\u00e9 Mar\u00eda;  Carranza-Garc\u00eda, Manuel;  Arcos-Vargas, \u00c1ngel;  Riquelme-Santos, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1580','tp_links')\" style=\"cursor:pointer;\">An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market<\/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\">Heliyon, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_pages\">pp. e25838, <\/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_1580\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1580','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1580\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1580','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1580\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.heliyon.2024.e25838,<br \/>\r\ntitle = {An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market},<br \/>\r\nauthor = {Jos\u00e9 Mar\u00eda Luna-Romera and Manuel Carranza-Garc\u00eda and \u00c1ngel Arcos-Vargas and Jos\u00e9 C. Riquelme-Santos},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25838},<br \/>\r\ndoi = {10.1016\/j.heliyon.2024.e25838},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Heliyon},<br \/>\r\nvolume = {10},<br \/>\r\npages = {e25838},<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('1580','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1580\" 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.heliyon.2024.e25838\" title=\"https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25838\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.heliyon.2024.e25838<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.heliyon.2024.e25838\" title=\"DOI de seguimiento:10.1016\/j.heliyon.2024.e25838\" target=\"_blank\">doi:10.1016\/j.heliyon.2024.e25838<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1580','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\"> Cabello-L\u00f3pez, Tom\u00e1s;  Carranza-Garc\u00eda, Manuel;  Riquelme, Jos\u00e9 C.;  Garc\u00eda-Guti\u00e9rrez, Jorge<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1582','tp_links')\" style=\"cursor:pointer;\">Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level<\/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 Energy, <\/span><span class=\"tp_pub_additional_volume\">vol. 350, <\/span><span class=\"tp_pub_additional_pages\">pp. 121645, <\/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_1582\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1582','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1582\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1582','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1582\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.apenergy.2023.121645,<br \/>\r\ntitle = {Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level},<br \/>\r\nauthor = {Tom\u00e1s Cabello-L\u00f3pez and Manuel Carranza-Garc\u00eda and Jos\u00e9 C. Riquelme and Jorge Garc\u00eda-Guti\u00e9rrez},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.apenergy.2023.121645},<br \/>\r\ndoi = {10.1016\/j.apenergy.2023.121645},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Applied Energy},<br \/>\r\nvolume = {350},<br \/>\r\npages = {121645},<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('1582','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1582\" 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.apenergy.2023.121645\" title=\"https:\/\/doi.org\/10.1016\/j.apenergy.2023.121645\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.apenergy.2023.121645<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.apenergy.2023.121645\" title=\"DOI de seguimiento:10.1016\/j.apenergy.2023.121645\" target=\"_blank\">doi:10.1016\/j.apenergy.2023.121645<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1582','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\"> Lara-Ben\u00edtez, Pedro;  Carranza-Garc\u00eda, Manuel;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1583','tp_links')\" style=\"cursor:pointer;\">Short-term solar irradiance forecasting in streaming 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\">Neurocomputing, <\/span><span class=\"tp_pub_additional_volume\">vol. 546, <\/span><span class=\"tp_pub_additional_pages\">pp. 126312, <\/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_1583\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1583','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1583\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1583','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1583\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.neucom.2023.126312,<br \/>\r\ntitle = {Short-term solar irradiance forecasting in streaming with deep learning},<br \/>\r\nauthor = {Pedro Lara-Ben\u00edtez and Manuel Carranza-Garc\u00eda and Jos\u00e9 Mar\u00eda Luna-Romera and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.neucom.2023.126312},<br \/>\r\ndoi = {10.1016\/j.neucom.2023.126312},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {546},<br \/>\r\npages = {126312},<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('1583','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1583\" 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.neucom.2023.126312\" title=\"https:\/\/doi.org\/10.1016\/j.neucom.2023.126312\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.neucom.2023.126312<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neucom.2023.126312\" title=\"DOI de seguimiento:10.1016\/j.neucom.2023.126312\" target=\"_blank\">doi:10.1016\/j.neucom.2023.126312<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1583','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\"> Reina-Jim\u00e9nez, Pablo;  Carranza-Garc\u00eda, Manuel;  Luna-Romera, Jose Mar\u00eda;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1585','tp_links')\" style=\"cursor:pointer;\">Efficient Short-Term Time Series Forecasting with\u00a0Regression Trees<\/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. 101-110, <\/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_1585\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1585','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1585\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1585','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1585\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42536-3_10,<br \/>\r\ntitle = {Efficient Short-Term Time Series Forecasting with\u00a0Regression Trees},<br \/>\r\nauthor = {Pablo Reina-Jim\u00e9nez and Manuel Carranza-Garc\u00eda and Jose Mar\u00eda Luna-Romera and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42536-3_10},<br \/>\r\ndoi = {10.1007\/978-3-031-42536-3_10},<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 = {101-110},<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('1585','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1585\" 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_10\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42536-3_10\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42536-3_10<\/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_10\" title=\"DOI de seguimiento:10.1007\/978-3-031-42536-3_10\" target=\"_blank\">doi:10.1007\/978-3-031-42536-3_10<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1585','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\"> Mart\u00edn, Jos\u00e9 David;  Pontes, Beatriz;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1628','tp_links')\" style=\"cursor:pointer;\">Simultaneous Evolutionary Optimization of Features Subset and Clusters Number<\/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 Companion Conference on Genetic and Evolutionary Computation, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 307-310, <\/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_1628\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1628','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1628\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1628','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1628\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1145\/3583133.3590603,<br \/>\r\ntitle = {Simultaneous Evolutionary Optimization of Features Subset and Clusters Number},<br \/>\r\nauthor = {Jos\u00e9 David Mart\u00edn and Beatriz Pontes and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3583133.3590603},<br \/>\r\ndoi = {10.1145\/3583133.3590603},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Proceedings of the Companion Conference on Genetic and Evolutionary Computation},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {307-310},<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('1628','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1628\" 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\/3583133.3590603\" title=\"https:\/\/doi.org\/10.1145\/3583133.3590603\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3583133.3590603<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3583133.3590603\" title=\"DOI de seguimiento:10.1145\/3583133.3590603\" target=\"_blank\">doi:10.1145\/3583133.3590603<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1628','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\"> Sol\u00eds-Garc\u00eda, Javier;  Vega-M\u00e1rquez, Bel\u00e9n;  Nepomuceno, Juan A.;  Riquelme-Santos, Jos\u00e9 C.;  Nepomuceno-Chamorro, Isabel A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1617','tp_links')\" style=\"cursor:pointer;\">Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study<\/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 Intelligence, <\/span><span class=\"tp_pub_additional_volume\">vol. 53, <\/span><span class=\"tp_pub_additional_pages\">pp. 30691-30705, <\/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_1617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1617','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1617\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1617','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1617\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/s10489-023-05124-z,<br \/>\r\ntitle = {Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study},<br \/>\r\nauthor = {Javier Sol\u00eds-Garc\u00eda and Bel\u00e9n Vega-M\u00e1rquez and Juan A. Nepomuceno and Jos\u00e9 C. Riquelme-Santos and Isabel A. Nepomuceno-Chamorro},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/s10489-023-05124-z},<br \/>\r\ndoi = {10.1007\/s10489-023-05124-z},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Applied Intelligence},<br \/>\r\nvolume = {53},<br \/>\r\npages = {30691-30705},<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('1617','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1617\" 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\/s10489-023-05124-z\" title=\"https:\/\/doi.org\/10.1007\/s10489-023-05124-z\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s10489-023-05124-z<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s10489-023-05124-z\" title=\"DOI de seguimiento:10.1007\/s10489-023-05124-z\" target=\"_blank\">doi:10.1007\/s10489-023-05124-z<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1617','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\"> N\u00fa\u00f1ez-Benjumea, Francisco J.;  Gonz\u00e1lez-Garc\u00eda, Sara;  Moreno-Conde, Alberto;  Riquelme-Santos, Jos\u00e9 C.;  L\u00f3pez-Guerra, Jos\u00e9 L.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1629','tp_links')\" style=\"cursor:pointer;\">Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients<\/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\">Clinical and Translational Radiation Oncology, <\/span><span class=\"tp_pub_additional_volume\">vol. 41, <\/span><span class=\"tp_pub_additional_pages\">pp. 100640, <\/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_1629\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1629','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1629\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1629','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1629\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.ctro.2023.100640,<br \/>\r\ntitle = {Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients},<br \/>\r\nauthor = {Francisco J. N\u00fa\u00f1ez-Benjumea and Sara Gonz\u00e1lez-Garc\u00eda and Alberto Moreno-Conde and Jos\u00e9 C. Riquelme-Santos and Jos\u00e9 L. L\u00f3pez-Guerra},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.ctro.2023.100640},<br \/>\r\ndoi = {10.1016\/j.ctro.2023.100640},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Clinical and Translational Radiation Oncology},<br \/>\r\nvolume = {41},<br \/>\r\npages = {100640},<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('1629','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1629\" 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.ctro.2023.100640\" title=\"https:\/\/doi.org\/10.1016\/j.ctro.2023.100640\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ctro.2023.100640<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ctro.2023.100640\" title=\"DOI de seguimiento:10.1016\/j.ctro.2023.100640\" target=\"_blank\">doi:10.1016\/j.ctro.2023.100640<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1629','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\"> Lara-Ben\u00edtez, Pedro;  Carranza-Garc\u00eda, Manuel;  Guti\u00e9rrez-Avil\u00e9s, David;  Riquelme, Jos\u00e9 C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1539','tp_links')\" style=\"cursor:pointer;\">Data streams classification using deep learning under different speeds and drifts<\/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_year\">2022<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1367-0751<\/span><span class=\"tp_pub_additional_note\">, (jzac033)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1539','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1539','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1539\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1539','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1539\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1093\/jigpal\/jzac033,<br \/>\r\ntitle = {Data streams classification using deep learning under different speeds and drifts},<br \/>\r\nauthor = {Pedro Lara-Ben\u00edtez and Manuel Carranza-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Jos\u00e9 C Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1093\/jigpal\/jzac033},<br \/>\r\ndoi = {10.1093\/jigpal\/jzac033},<br \/>\r\nissn = {1367-0751},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Logic Journal of the IGPL},<br \/>\r\nabstract = {Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts.},<br \/>\r\nnote = {jzac033},<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('1539','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1539\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time data streaming scenarios is a research area that has not yet been fully addressed. Nevertheless, much effort has been put into the adaption of complex deep learning (DL) models to streaming tasks by reducing the processing time. The design of the asynchronous dual-pipeline DL framework allows making predictions of incoming instances and updating the model simultaneously, using two separate layers. The aim of this work is to assess the performance of different types of DL architectures for data streaming classification using this framework. We evaluate models such as multi-layer perceptrons, recurrent, convolutional and temporal convolutional neural networks over several time series datasets that are simulated as streams at different speeds. In addition, we evaluate how the different architectures react to concept drifts typically found in evolving data streams. The obtained results indicate that convolutional architectures achieve a higher performance in terms of accuracy and efficiency, but are also the most sensitive to concept drifts.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1539','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1539\" 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\/jzac033\" title=\"https:\/\/doi.org\/10.1093\/jigpal\/jzac033\" target=\"_blank\">https:\/\/doi.org\/10.1093\/jigpal\/jzac033<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/jigpal\/jzac033\" title=\"DOI de seguimiento:10.1093\/jigpal\/jzac033\" target=\"_blank\">doi:10.1093\/jigpal\/jzac033<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1539','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Carranza-Garc\u00eda, Manuel;  Lara-Ben\u00edtez, Pedro;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\">Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span> Gonz\u00e1lez, Hugo Sanjurjo;  L\u00f3pez, Iker Pastor;  Bringas, Pablo Garc\u00eda;  Quinti\u00e1n, H\u00e9ctor;  Corchado, Emilio (Ed.): <span class=\"tp_pub_additional_booktitle\">16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), <\/span><span class=\"tp_pub_additional_pages\">pp. 654\u2013664, <\/span><span class=\"tp_pub_additional_publisher\">Springer International Publishing, <\/span><span class=\"tp_pub_additional_address\">Cham, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-87869-6<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1534','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1534\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1534','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1534\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1007\/978-3-030-87869-6_62,<br \/>\r\ntitle = {Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting},<br \/>\r\nauthor = {Manuel Carranza-Garc\u00eda and Pedro Lara-Ben\u00edtez and Jos\u00e9 Mar\u00eda Luna-Romera and Jos\u00e9 C. Riquelme},<br \/>\r\neditor = {Hugo Sanjurjo Gonz\u00e1lez and Iker Pastor L\u00f3pez and Pablo Garc\u00eda Bringas and H\u00e9ctor Quinti\u00e1n and Emilio Corchado},<br \/>\r\nisbn = {978-3-030-87869-6},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021)},<br \/>\r\npages = {654--664},<br \/>\r\npublisher = {Springer International Publishing},<br \/>\r\naddress = {Cham},<br \/>\r\nabstract = {Solar energy is currently among the most important and convenient renewable sources, with a great potential to reduce the use of fossil fuels. However, power generation from solar panels is very irregular and highly dependent on weather conditions. Therefore, solar irradiance forecasting is a fundamental task to ensure an efficient power management. In power plants, besides the temporal observations, it is essential to consider the spatial relationship between close photovoltaic panels. In this work, we study the importance of feature selection for forecasting solar irradiance time series using spatio-temporal data. The experimental study considers nine feature selection techniques and compares the predictive performance of four regression algorithms using the different subsets of features. The data used comes from two different locations in Canada with multiple solar panels. The results demonstrate that including the proper spatial information using feature selection, particularly the methods based on evolutionary computation, enhances significantly the forecasting accuracy.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1534','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1534\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Solar energy is currently among the most important and convenient renewable sources, with a great potential to reduce the use of fossil fuels. However, power generation from solar panels is very irregular and highly dependent on weather conditions. Therefore, solar irradiance forecasting is a fundamental task to ensure an efficient power management. In power plants, besides the temporal observations, it is essential to consider the spatial relationship between close photovoltaic panels. In this work, we study the importance of feature selection for forecasting solar irradiance time series using spatio-temporal data. The experimental study considers nine feature selection techniques and compares the predictive performance of four regression algorithms using the different subsets of features. The data used comes from two different locations in Canada with multiple solar panels. The results demonstrate that including the proper spatial information using feature selection, particularly the methods based on evolutionary computation, enhances significantly the forecasting accuracy.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1534','tp_abstract')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Madrid-M\u00e1rquez, Laura;  Rubio-Escudero, Cristina;  Pontes, Beatriz;  Gonz\u00e1lez-P\u00e9rez, Antonio;  Riquelme, Jos\u00e9 C.;  S\u00e1ez, Maria E.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1538','tp_links')\" style=\"cursor:pointer;\">MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation<\/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 Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_number\">no 8, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2076-3417<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1538','tp_abstract')\" title=\"Mostrar resumen\" style=\"cursor:pointer;\">Resumen<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1538','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1538\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1538','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1538\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{app12083987,<br \/>\r\ntitle = {MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation},<br \/>\r\nauthor = {Laura Madrid-M\u00e1rquez and Cristina Rubio-Escudero and Beatriz Pontes and Antonio Gonz\u00e1lez-P\u00e9rez and Jos\u00e9 C. Riquelme and Maria E. S\u00e1ez},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2076-3417\/12\/8\/3987},<br \/>\r\ndoi = {10.3390\/app12083987},<br \/>\r\nissn = {2076-3417},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {12},<br \/>\r\nnumber = {8},<br \/>\r\nabstract = {Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the integration of different layers of information. Methods: We have developed a new software tool, MOMIC, that guides the user through the application of different analysis on a wide range of omic data, from the independent single-omics analysis to the combination of heterogeneous data at different molecular levels. Results: The proposed pipeline is developed as a collection of Jupyter notebooks, easily editable, reproducible and well documented. It can be modified to accommodate new analysis workflows and data types. It is accessible via momic.us.es, and as a docker project available at github that can be locally installed. Conclusions: MOMIC offers a complete analysis environment for analysing and integrating multi-omics data in a single, easy-to-use platform.},<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('1538','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1538\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Background and Objectives: The burst of high-throughput omics technologies has given rise to a new era in systems biology, offering an unprecedented scenario for deriving meaningful biological knowledge through the integration of different layers of information. Methods: We have developed a new software tool, MOMIC, that guides the user through the application of different analysis on a wide range of omic data, from the independent single-omics analysis to the combination of heterogeneous data at different molecular levels. Results: The proposed pipeline is developed as a collection of Jupyter notebooks, easily editable, reproducible and well documented. It can be modified to accommodate new analysis workflows and data types. It is accessible via momic.us.es, and as a docker project available at github that can be locally installed. Conclusions: MOMIC offers a complete analysis environment for analysing and integrating multi-omics data in a single, easy-to-use platform.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1538','tp_abstract')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1538\" 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.mdpi.com\/2076-3417\/12\/8\/3987\" title=\"https:\/\/www.mdpi.com\/2076-3417\/12\/8\/3987\" target=\"_blank\">https:\/\/www.mdpi.com\/2076-3417\/12\/8\/3987<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/app12083987\" title=\"DOI de seguimiento:10.3390\/app12083987\" target=\"_blank\">doi:10.3390\/app12083987<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1538','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\"> Carranza-Garcia, Manuel;  Riquelme, Jose C.;  Zakhor, Avideh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1586','tp_links')\" style=\"cursor:pointer;\">Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving<\/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\">2022 IEEE International Conference on Image Processing (ICIP), <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 201-205, <\/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_1586\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1586','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1586\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1586','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1586\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1109\/icip46576.2022.9897855,<br \/>\r\ntitle = {Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving},<br \/>\r\nauthor = {Manuel Carranza-Garcia and Jose C. Riquelme and Avideh Zakhor},<br \/>\r\nurl = {https:\/\/doi.org\/10.1109\/icip46576.2022.9897855},<br \/>\r\ndoi = {10.1109\/icip46576.2022.9897855},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {2022 IEEE International Conference on Image Processing (ICIP)},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {201-205},<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('1586','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1586\" 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\/icip46576.2022.9897855\" title=\"https:\/\/doi.org\/10.1109\/icip46576.2022.9897855\" target=\"_blank\">https:\/\/doi.org\/10.1109\/icip46576.2022.9897855<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/icip46576.2022.9897855\" title=\"DOI de seguimiento:10.1109\/icip46576.2022.9897855\" target=\"_blank\">doi:10.1109\/icip46576.2022.9897855<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1586','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\"> Cabello-L\u00f3pez, Tom\u00e1s;  Ca\u00f1izares-Juan, Manuel;  Carranza-Garc\u00eda, Manuel;  Garcia-Guti\u00e9rrez, Jorge;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1587','tp_links')\" style=\"cursor:pointer;\">Concept Drift Detection to\u00a0Improve Time Series Forecasting of\u00a0Wind Energy Generation<\/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. 133-140, <\/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_1587\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1587','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1587\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1587','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1587\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-15471-3_12,<br \/>\r\ntitle = {Concept Drift Detection to\u00a0Improve Time Series Forecasting of\u00a0Wind Energy Generation},<br \/>\r\nauthor = {Tom\u00e1s Cabello-L\u00f3pez and Manuel Ca\u00f1izares-Juan and Manuel Carranza-Garc\u00eda and Jorge Garcia-Guti\u00e9rrez and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-15471-3_12},<br \/>\r\ndoi = {10.1007\/978-3-031-15471-3_12},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {133-140},<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('1587','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1587\" 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\/978-3-031-15471-3_12\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-15471-3_12\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-15471-3_12<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-15471-3_12\" title=\"DOI de seguimiento:10.1007\/978-3-031-15471-3_12\" target=\"_blank\">doi:10.1007\/978-3-031-15471-3_12<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1587','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\"> Carranza-Garc\u00eda, Manuel;  Gal\u00e1n-Sales, F.;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Riquelme, Jos\u00e9<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1535','tp_links')\" style=\"cursor:pointer;\">Object detection using depth completion and camera-LiDAR fusion for autonomous driving<\/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. 29, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-18, <\/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_1535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1535','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1535\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1535','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1535\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{article,<br \/>\r\ntitle = {Object detection using depth completion and camera-LiDAR fusion for autonomous driving},<br \/>\r\nauthor = {Manuel Carranza-Garc\u00eda and F. Gal\u00e1n-Sales and Jos\u00e9 Mar\u00eda Luna-Romera and Jos\u00e9 Riquelme},<br \/>\r\ndoi = {10.3233\/ICA-220681},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Integrated Computer-Aided Engineering},<br \/>\r\nvolume = {29},<br \/>\r\npages = {1-18},<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('1535','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1535\" 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-220681\" title=\"DOI de seguimiento:10.3233\/ICA-220681\" target=\"_blank\">doi:10.3233\/ICA-220681<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1535','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\"> Madrid-M\u00e1rquez, Laura;  Rubio-Escudero, Cristina;  Pontes, Beatriz;  Gonz\u00e1lez-P\u00e9rez, Antonio;  Riquelme, Jos\u00e9;  Saez, Maria<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1550','tp_links')\" style=\"cursor:pointer;\">MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation<\/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 Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_pages\">pp. 3987, <\/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_1550\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1550','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1550\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1550','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1550\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlek,<br \/>\r\ntitle = {MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation},<br \/>\r\nauthor = {Laura Madrid-M\u00e1rquez and Cristina Rubio-Escudero and Beatriz Pontes and Antonio Gonz\u00e1lez-P\u00e9rez and Jos\u00e9 Riquelme and Maria Saez},<br \/>\r\ndoi = {10.3390\/app12083987},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {12},<br \/>\r\npages = {3987},<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('1550','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1550\" 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\/10.3390\/app12083987\" title=\"DOI de seguimiento:10.3390\/app12083987\" target=\"_blank\">doi:10.3390\/app12083987<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1550','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, Jos\u00e9 Mar\u00eda;  Carranza-Garc\u00eda, Manuel;  Guti\u00e9rrez-Avil\u00e9s, David;  Riquelme-Santos, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1588','tp_links')\" style=\"cursor:pointer;\">Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology<\/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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 706-716, <\/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_1588\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1588','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1588\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1588','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1588\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-87869-6_67,<br \/>\r\ntitle = {Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology},<br \/>\r\nauthor = {Jos\u00e9 Mar\u00eda Luna-Romera and Manuel Carranza-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Jos\u00e9 C. Riquelme-Santos},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-87869-6_67},<br \/>\r\ndoi = {10.1007\/978-3-030-87869-6_67},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {706-716},<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('1588','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1588\" 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\/978-3-030-87869-6_67\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-87869-6_67\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-87869-6_67<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-87869-6_67\" title=\"DOI de seguimiento:10.1007\/978-3-030-87869-6_67\" target=\"_blank\">doi:10.1007\/978-3-030-87869-6_67<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1588','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lara-Ben\u00edtez, Pedro;  Carranza-Garc\u00eda, Manuel;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1589','tp_links')\" style=\"cursor:pointer;\">An Experimental Review on Deep Learning Architectures 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\">International Journal of Neural Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. 31, <\/span><span class=\"tp_pub_additional_pages\">pp. 2130001, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1589\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1589','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1589\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1589','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1589\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1142\/s0129065721300011,<br \/>\r\ntitle = {An Experimental Review on Deep Learning Architectures for Time Series Forecasting},<br \/>\r\nauthor = {Pedro Lara-Ben\u00edtez and Manuel Carranza-Garc\u00eda and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1142\/s0129065721300011},<br \/>\r\ndoi = {10.1142\/s0129065721300011},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {International Journal of Neural Systems},<br \/>\r\nvolume = {31},<br \/>\r\npages = {2130001},<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('1589','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1589\" 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\/10.1142\/s0129065721300011\" title=\"https:\/\/doi.org\/10.1142\/s0129065721300011\" target=\"_blank\">https:\/\/doi.org\/10.1142\/s0129065721300011<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1142\/s0129065721300011\" title=\"DOI de seguimiento:10.1142\/s0129065721300011\" target=\"_blank\">doi:10.1142\/s0129065721300011<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1589','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\"> Carranza-Garc\u00eda, Manuel;  Lara-Ben\u00edtez, Pedro;  Garc\u00eda-Guti\u00e9rrez, Jorge;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1590','tp_links')\" style=\"cursor:pointer;\">Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance<\/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. 449, <\/span><span class=\"tp_pub_additional_pages\">pp. 229-244, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1590\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1590','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1590\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1590','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1590\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.neucom.2021.04.001,<br \/>\r\ntitle = {Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance},<br \/>\r\nauthor = {Manuel Carranza-Garc\u00eda and Pedro Lara-Ben\u00edtez and Jorge Garc\u00eda-Guti\u00e9rrez and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.neucom.2021.04.001},<br \/>\r\ndoi = {10.1016\/j.neucom.2021.04.001},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {449},<br \/>\r\npages = {229-244},<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('1590','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1590\" 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.neucom.2021.04.001\" title=\"https:\/\/doi.org\/10.1016\/j.neucom.2021.04.001\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.neucom.2021.04.001<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neucom.2021.04.001\" title=\"DOI de seguimiento:10.1016\/j.neucom.2021.04.001\" target=\"_blank\">doi:10.1016\/j.neucom.2021.04.001<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1590','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\"> Lara-Ben\u00edtez, Pedro;  Carranza-Garc\u00eda, Manuel;  Mart\u00ednez-\u00c1lvarez, Francisco;  Riquelme, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1592','tp_links')\" style=\"cursor:pointer;\">On the Performance of Deep Learning Models for Time Series Classification in Streaming<\/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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 144-154, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1592\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1592','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1592\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1592','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1592\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-57802-2_14,<br \/>\r\ntitle = {On the Performance of Deep Learning Models for Time Series Classification in Streaming},<br \/>\r\nauthor = {Pedro Lara-Ben\u00edtez and Manuel Carranza-Garc\u00eda and Francisco Mart\u00ednez-\u00c1lvarez and Jos\u00e9 C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-57802-2_14},<br \/>\r\ndoi = {10.1007\/978-3-030-57802-2_14},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {144-154},<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('1592','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1592\" 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\/978-3-030-57802-2_14\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-57802-2_14\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-57802-2_14<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-57802-2_14\" title=\"DOI de seguimiento:10.1007\/978-3-030-57802-2_14\" target=\"_blank\">doi:10.1007\/978-3-030-57802-2_14<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1592','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\"> Molina, Miguel \u00c1ngel;  Asencio-Cort\u00e9s, Gualberto;  Riquelme, Jos\u00e9 C.;  Mart\u00ednez-\u00c1lvarez, Francisco<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1631','tp_links')\" style=\"cursor:pointer;\">A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small 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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 741-750, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1631\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1631','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1631\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1631','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1631\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-57802-2_71,<br \/>\r\ntitle = {A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets},<br \/>\r\nauthor = {Miguel \u00c1ngel Molina and Gualberto Asencio-Cort\u00e9s and Jos\u00e9 C. Riquelme and Francisco Mart\u00ednez-\u00c1lvarez},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-57802-2_71},<br \/>\r\ndoi = {10.1007\/978-3-030-57802-2_71},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {741-750},<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('1631','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1631\" 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\/978-3-030-57802-2_71\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-57802-2_71\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-57802-2_71<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-57802-2_71\" title=\"DOI de seguimiento:10.1007\/978-3-030-57802-2_71\" target=\"_blank\">doi:10.1007\/978-3-030-57802-2_71<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1631','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\"> Wen, Haotian;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Riquelme, Jos\u00e9 C.;  Dwyer, Christian;  Chang, Shery L. Y.<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/statistically-representative-metrology-of-nanoparticles-via-unsupervised-machine-learning-of-tem-images\/\">Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images<\/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\">Nanomaterials, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 2706, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1626\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1626','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1626\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1626','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1626\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.3390\/nano11102706,<br \/>\r\ntitle = {Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images},<br \/>\r\nauthor = {Haotian Wen and Jos\u00e9 Mar\u00eda Luna-Romera and Jos\u00e9 C. Riquelme and Christian Dwyer and Shery L. Y. Chang},<br \/>\r\nurl = {https:\/\/doi.org\/10.3390\/nano11102706},<br \/>\r\ndoi = {10.3390\/nano11102706},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Nanomaterials},<br \/>\r\nvolume = {11},<br \/>\r\npages = {2706},<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('1626','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1626\" 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\/nano11102706\" title=\"https:\/\/doi.org\/10.3390\/nano11102706\" target=\"_blank\">https:\/\/doi.org\/10.3390\/nano11102706<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/nano11102706\" title=\"DOI de seguimiento:10.3390\/nano11102706\" target=\"_blank\">doi:10.3390\/nano11102706<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1626','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\"> Vega, Bel\u00e9n;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1542','tp_links')\" style=\"cursor:pointer;\">OCEAn: Ordinal Classification with an Ensemble Approach<\/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. 580, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1542\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1542','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1542\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1542','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1542\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlec,<br \/>\r\ntitle = {OCEAn: Ordinal Classification with an Ensemble Approach},<br \/>\r\nauthor = {Bel\u00e9n Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and Jos\u00e9 Riquelme},<br \/>\r\ndoi = {10.1016\/j.ins.2021.08.081},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nvolume = {580},<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('1542','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1542\" 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.2021.08.081\" title=\"DOI de seguimiento:10.1016\/j.ins.2021.08.081\" target=\"_blank\">doi:10.1016\/j.ins.2021.08.081<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1542','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\"> Pontes, Beatriz;  N\u00fa\u00f1ez-Benjumea, Francisco;  Rubio-Escudero, Cristina;  Conde, Alberto Moreno;  Nepomuceno, Isabel;  Moreno, Jes\u00fas;  Cacicedo, Jon;  Praena-Fern\u00e1ndez, J. M.;  Rodriguez, German;  Calder\u00f3n, Carlos Parra;  Le\u00f3n, Blas;  Campo, E.;  Cou\u00f1ago, Felipe;  Riquelme, Jos\u00e9;  Guerra, Jose Lopez<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1553','tp_links')\" style=\"cursor:pointer;\">A data mining based clinical decision support system for survival in lung cancer<\/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\">Reports of Practical Oncology and Radiotherapy, <\/span><span class=\"tp_pub_additional_volume\">vol. 26, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1553\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1553','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1553\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1553','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1553\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlel,<br \/>\r\ntitle = {A data mining based clinical decision support system for survival in lung cancer},<br \/>\r\nauthor = {Beatriz Pontes and Francisco N\u00fa\u00f1ez-Benjumea and Cristina Rubio-Escudero and Alberto Moreno Conde and Isabel Nepomuceno and Jes\u00fas Moreno and Jon Cacicedo and J. M. Praena-Fern\u00e1ndez and German Rodriguez and Carlos Parra Calder\u00f3n and Blas Le\u00f3n and E. Campo and Felipe Cou\u00f1ago and Jos\u00e9 Riquelme and Jose Lopez Guerra},<br \/>\r\ndoi = {10.5603\/RPOR.a2021.0088},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Reports of Practical Oncology and Radiotherapy},<br \/>\r\nvolume = {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('1553','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1553\" 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\/10.5603\/RPOR.a2021.0088\" title=\"DOI de seguimiento:10.5603\/RPOR.a2021.0088\" target=\"_blank\">doi:10.5603\/RPOR.a2021.0088<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1553','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\"> Vega, Bel\u00e9n;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1554','tp_links')\" style=\"cursor:pointer;\">OCEAn: Ordinal Classification with an Ensemble Approach<\/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. 580, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1554\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1554','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1554\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1554','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1554\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlem,<br \/>\r\ntitle = {OCEAn: Ordinal Classification with an Ensemble Approach},<br \/>\r\nauthor = {Bel\u00e9n Vega and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero and Jos\u00e9 Riquelme},<br \/>\r\ndoi = {10.1016\/j.ins.2021.08.081},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Information Sciences},<br \/>\r\nvolume = {580},<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('1554','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1554\" 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.2021.08.081\" title=\"DOI de seguimiento:10.1016\/j.ins.2021.08.081\" target=\"_blank\">doi:10.1016\/j.ins.2021.08.081<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1554','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\"> Lara-Ben\u00edtez, P;  Carranza-Garc\u00eda, M;  Luna-Romera, J M;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/temporal-convolutional-networks-applied-to-energy-related-time-series-forecasting-12\/\">Temporal Convolutional Networks Applied to Energy-related 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\">Applied Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_number\">no 7, <\/span><span class=\"tp_pub_additional_pages\">pp. 2322, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018): 2.217)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1532\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1532','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1532\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1532','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1532\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Pedro2020,<br \/>\r\ntitle = {Temporal Convolutional Networks Applied to Energy-related Time Series Forecasting},<br \/>\r\nauthor = {P Lara-Ben\u00edtez and M Carranza-Garc\u00eda and J M Luna-Romera and J C Riquelme},<br \/>\r\ndoi = {10.3390\/app10072322},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-03-28},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {10},<br \/>\r\nnumber = {7},<br \/>\r\npages = {2322},<br \/>\r\nnote = {JCR (2018): 2.217},<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('1532','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1532\" 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\/10.3390\/app10072322\" title=\"DOI de seguimiento:10.3390\/app10072322\" target=\"_blank\">doi:10.3390\/app10072322<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1532','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\"> Lara-Ben\u00edtez, P;  Carranza-Garc\u00eda, M;  Garc\u00eda-Guti\u00e9rrez, J;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/asynchronous-dual-pipeline-deep-learning-framework-for-online-data-stream-classification-2\/\">Asynchronous dual-pipeline deep learning framework for online data stream classification<\/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. 27, <\/span><span class=\"tp_pub_additional_number\">no 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 101-119, <\/span><span class=\"tp_pub_additional_year\">2020<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018): 4.904)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1529\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1529','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1529\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1529','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1529\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lara-Ben\u00edtez2020,<br \/>\r\ntitle = {Asynchronous dual-pipeline deep learning framework for online data stream classification},<br \/>\r\nauthor = {P Lara-Ben\u00edtez and M Carranza-Garc\u00eda and J Garc\u00eda-Guti\u00e9rrez and J C Riquelme },<br \/>\r\ndoi = {10.3233\/ICA-200617},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-02-27},<br \/>\r\njournal = {Integrated Computer-Aided Engineering},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {2},<br \/>\r\npages = {101-119},<br \/>\r\nnote = {JCR (2018): 4.904},<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('1529','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1529\" 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-200617\" title=\"DOI de seguimiento:10.3233\/ICA-200617\" target=\"_blank\">doi:10.3233\/ICA-200617<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1529','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\"> Vega-M\u00e1rquez, Bel\u00e9n;  Rubio-Escudero, Cristina;  Riquelme, Jos\u00e9 C.;  Nepomuceno-Chamorro, Isabel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1624','tp_links')\" style=\"cursor:pointer;\">Creation of Synthetic Data with Conditional Generative Adversarial Networks<\/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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 231-240, <\/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_1624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1624','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1624\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1624','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1624\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-20055-8_22,<br \/>\r\ntitle = {Creation of Synthetic Data with Conditional Generative Adversarial Networks},<br \/>\r\nauthor = {Bel\u00e9n Vega-M\u00e1rquez and Cristina Rubio-Escudero and Jos\u00e9 C. Riquelme and Isabel Nepomuceno-Chamorro},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22},<br \/>\r\ndoi = {10.1007\/978-3-030-20055-8_22},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {231-240},<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('1624','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1624\" 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\/978-3-030-20055-8_22\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-20055-8_22<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-20055-8_22\" title=\"DOI de seguimiento:10.1007\/978-3-030-20055-8_22\" target=\"_blank\">doi:10.1007\/978-3-030-20055-8_22<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1624','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\"> 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><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00edn-Fern\u00e1ndez, Jos\u00e9 David;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Pontes, Beatriz;  Riquelme-Santos, Jos\u00e9 C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1627','tp_links')\" style=\"cursor:pointer;\">Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering<\/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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 3-13, <\/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_1627\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1627','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1627\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1627','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1627\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-20055-8_1,<br \/>\r\ntitle = {Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering},<br \/>\r\nauthor = {Jos\u00e9 David Mart\u00edn-Fern\u00e1ndez and Jos\u00e9 Mar\u00eda Luna-Romera and Beatriz Pontes and Jos\u00e9 C. Riquelme-Santos},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-20055-8_1},<br \/>\r\ndoi = {10.1007\/978-3-030-20055-8_1},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {3-13},<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('1627','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1627\" 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\/978-3-030-20055-8_1\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-20055-8_1\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-20055-8_1<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-20055-8_1\" title=\"DOI de seguimiento:10.1007\/978-3-030-20055-8_1\" target=\"_blank\">doi:10.1007\/978-3-030-20055-8_1<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1627','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-\u00c1lvarez, F.;  Asencio-Cort\u00e9s, G.;  Torres, J. F.;  Guti\u00e9rrez-Avil\u00e9s, D.;  Melgar-Garc\u00eda, L.;  P\u00e9rez-Chac\u00f3n, R.;  Rubio-Escudero, C.;  Riquelme, J. C.;  Troncoso, A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1613','tp_links')\" style=\"cursor:pointer;\">Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model<\/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\">Big Data, <\/span><span class=\"tp_pub_additional_volume\">vol. 8, <\/span><span class=\"tp_pub_additional_pages\">pp. 308-322, <\/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_1613\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1613','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1613\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1613','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1613\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1089\/big.2020.0051,<br \/>\r\ntitle = {Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model},<br \/>\r\nauthor = {F. Mart\u00ednez-\u00c1lvarez and G. Asencio-Cort\u00e9s and J. F. Torres and D. Guti\u00e9rrez-Avil\u00e9s and L. Melgar-Garc\u00eda and R. P\u00e9rez-Chac\u00f3n and C. Rubio-Escudero and J. C. Riquelme and A. Troncoso},<br \/>\r\nurl = {https:\/\/doi.org\/10.1089\/big.2020.0051},<br \/>\r\ndoi = {10.1089\/big.2020.0051},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Big Data},<br \/>\r\nvolume = {8},<br \/>\r\npages = {308-322},<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('1613','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1613\" 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\/10.1089\/big.2020.0051\" title=\"https:\/\/doi.org\/10.1089\/big.2020.0051\" target=\"_blank\">https:\/\/doi.org\/10.1089\/big.2020.0051<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1089\/big.2020.0051\" title=\"DOI de seguimiento:10.1089\/big.2020.0051\" target=\"_blank\">doi:10.1089\/big.2020.0051<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1613','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\"> Tall\u00f3n, A;  Ruiz, R;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/semi-wrapper-feature-subset-selector-for-feed-forward-neural-networks-applications-to-binary-and-multi-class-classification-problems-3\/\">Semi-wrapper feature subset selector for feed-forward neural networks: applications to binary and multi-class classification 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\">Neurocomputing, <\/span><span class=\"tp_pub_additional_volume\">vol. 353, <\/span><span class=\"tp_pub_additional_pages\">pp. 28-44, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (JCR(2018): 4.072)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1525\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1525','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1525\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1525','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1525\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{A2019c,<br \/>\r\ntitle = {Semi-wrapper feature subset selector for feed-forward neural networks: applications to binary and multi-class classification problems},<br \/>\r\nauthor = {A Tall\u00f3n and R Ruiz and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.neucom.2018.05.133},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-09-03},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {353},<br \/>\r\npages = {28-44},<br \/>\r\nnote = {JCR(2018): 4.072},<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('1525','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1525\" 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.2018.05.133\" title=\"DOI de seguimiento:10.1016\/j.neucom.2018.05.133\" target=\"_blank\">doi:10.1016\/j.neucom.2018.05.133<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1525','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;  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\"> C, G\u00f3mez-Quiles;  Asencio\u2013Cort\u00e9s, G;  Gastalver-Rubio, A;  Mart\u00ednez\u2013\u00c1lvarez, F;  Troncoso, A.;  Riquelme, J C;  Riquelme-Santos, Jes\u00fas Manuel<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-novel-ensemble-method-for-electric-vehicle-power-consumption-forecasting-application-to-the-spanish-system\/\">A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system<\/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_1527\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1527','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1527\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1527','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1527\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{C2019,<br \/>\r\ntitle = {A novel ensemble method for electric vehicle power consumption forecasting: application to the Spanish system},<br \/>\r\nauthor = {G\u00f3mez-Quiles C and G Asencio\u2013Cort\u00e9s and A Gastalver-Rubio and F Mart\u00ednez\u2013\u00c1lvarez and A. Troncoso and J C Riquelme and Jes\u00fas Manuel Riquelme-Santos},<br \/>\r\ndoi = {10.1109\/ACCESS.2019.2936478},<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('1527','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1527\" 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.2019.2936478\" title=\"DOI de seguimiento:10.1109\/ACCESS.2019.2936478\" target=\"_blank\">doi:10.1109\/ACCESS.2019.2936478<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1527','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\"> Tall\u00f3n-Ballesteros, AJ;  Riquelme, J C;  Ruiz, R<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/filter-based-feature-selection-in-the-context-of-evolutionary-neural-networks-in-supervised-machine-learning-3\/\">Filter-based feature selection in the context of evolutionary neural networks in supervised machine 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\">Pattern Analysis and Applications, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-25, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (JCR(2018): 1.410)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1526\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1526','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1526\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1526','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1526\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{AJ2019,<br \/>\r\ntitle = {Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning},<br \/>\r\nauthor = {AJ Tall\u00f3n-Ballesteros and J C Riquelme and R Ruiz},<br \/>\r\ndoi = {10.1007\/s10044-019-00798-z},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-06-05},<br \/>\r\njournal = {Pattern Analysis and Applications},<br \/>\r\npages = {1-25},<br \/>\r\nnote = {JCR(2018): 1.410},<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('1526','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1526\" 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\/s10044-019-00798-z\" title=\"DOI de seguimiento:10.1007\/s10044-019-00798-z\" target=\"_blank\">doi:10.1007\/s10044-019-00798-z<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1526','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><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Carranza-Garc\u00eda, M;  Garc\u00eda-Guti\u00e9rrez, J;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-framework-for-evaluating-land-use-and-land-cover-classification-using-convolutional-neural-networks-3\/\">A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks<\/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\">Remote Sensing, <\/span><span class=\"tp_pub_additional_volume\">vol. 11 (3), <\/span><span class=\"tp_pub_additional_number\">no 274, <\/span><span class=\"tp_pub_additional_year\">2019<\/span><span class=\"tp_pub_additional_note\">, (JCR(2018): 4.118)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1523\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1523','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1523\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1523','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1523\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{M2019,<br \/>\r\ntitle = {A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks},<br \/>\r\nauthor = {M Carranza-Garc\u00eda and J Garc\u00eda-Guti\u00e9rrez and J C Riquelme},<br \/>\r\ndoi = {10.3390\/rs11030274},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-31},<br \/>\r\njournal = {Remote Sensing},<br \/>\r\nvolume = {11 (3)},<br \/>\r\nnumber = {274},<br \/>\r\nnote = {JCR(2018): 4.118},<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('1523','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1523\" 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\/10.3390\/rs11030274\" title=\"DOI de seguimiento:10.3390\/rs11030274\" target=\"_blank\">doi:10.3390\/rs11030274<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1523','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\"> Mateos-Garc\u00eda, Daniel;  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('1606','tp_links')\" style=\"cursor:pointer;\">On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule<\/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. 326-327, <\/span><span class=\"tp_pub_additional_pages\">pp. 54-60, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1606\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1606','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1606\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1606','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1606\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.neucom.2016.08.159,<br \/>\r\ntitle = {On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule},<br \/>\r\nauthor = {Daniel Mateos-Garc\u00eda and Jorge Garc\u00eda-Guti\u00e9rrez and Jos\u00e9 C. Riquelme-Santos},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.neucom.2016.08.159},<br \/>\r\ndoi = {10.1016\/j.neucom.2016.08.159},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {326-327},<br \/>\r\npages = {54-60},<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('1606','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1606\" 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.neucom.2016.08.159\" title=\"https:\/\/doi.org\/10.1016\/j.neucom.2016.08.159\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.neucom.2016.08.159<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neucom.2016.08.159\" title=\"DOI de seguimiento:10.1016\/j.neucom.2016.08.159\" target=\"_blank\">doi:10.1016\/j.neucom.2016.08.159<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1606','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\"> Rubio-Escudero, C.;  Asencio-Cort\u00e9s, G.;  Mart\u00ednez-\u00c1lvarez, F.;  Troncoso, A.;  Riquelme, J. C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1632','tp_links')\" style=\"cursor:pointer;\">Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses<\/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\">Advances in Intelligent Systems and Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 553-561, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1632\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1632','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1632\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1632','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1632\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-319-94120-2_54,<br \/>\r\ntitle = {Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses},<br \/>\r\nauthor = {C. Rubio-Escudero and G. Asencio-Cort\u00e9s and F. Mart\u00ednez-\u00c1lvarez and A. Troncoso and J. C. Riquelme},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-319-94120-2_54},<br \/>\r\ndoi = {10.1007\/978-3-319-94120-2_54},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\njournal = {Advances in Intelligent Systems and Computing},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {553-561},<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('1632','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1632\" 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\/978-3-319-94120-2_54\" title=\"https:\/\/doi.org\/10.1007\/978-3-319-94120-2_54\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-319-94120-2_54<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-319-94120-2_54\" title=\"DOI de seguimiento:10.1007\/978-3-319-94120-2_54\" target=\"_blank\">doi:10.1007\/978-3-319-94120-2_54<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1632','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\"> A, G\u00f3mez-Losada;  Asencio\u2013Cort\u00e9s, G;  Mart\u00ednez\u2013\u00c1lvarez, F;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/a-novel-approach-to-forecast-urban-surface-level-ozone-considering-heterogeneous-locations-and-limited-information-2\/\">A Novel Approach to Forecast Urban Surface-Level Ozone Considering Heterogeneous Locations and Limited Information<\/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\">Environmental Modelling and Software, <\/span><span class=\"tp_pub_additional_volume\">vol. 110, <\/span><span class=\"tp_pub_additional_pages\">pp. 52-61, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR (2018) 4.552 13\/106 Comp. Sc.\/Int App Q1)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1522\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1522','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1522\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1522','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1522\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{A2018,<br \/>\r\ntitle = {A Novel Approach to Forecast Urban Surface-Level Ozone Considering Heterogeneous Locations and Limited Information},<br \/>\r\nauthor = {G\u00f3mez-Losada A and G Asencio\u2013Cort\u00e9s and F Mart\u00ednez\u2013\u00c1lvarez and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.envsoft.2018.08.013},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-09-06},<br \/>\r\njournal = {Environmental Modelling and Software},<br \/>\r\nvolume = {110},<br \/>\r\npages = {52-61},<br \/>\r\nnote = {JCR (2018) 4.552 13\/106 Comp. Sc.\/Int App 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('1522','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1522\" 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.envsoft.2018.08.013\" title=\"DOI de seguimiento:10.1016\/j.envsoft.2018.08.013\" target=\"_blank\">doi:10.1016\/j.envsoft.2018.08.013<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1522','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\"> P\u00e9rez-Chac\u00f3n, R;  Luna-Romera, J 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('1485','tp_links')\" style=\"cursor:pointer;\">Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities<\/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. 11, <\/span><span class=\"tp_pub_additional_number\">no 3, <\/span><span class=\"tp_pub_additional_pages\">pp. 683, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR: 2,626)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1485\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1485','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1485\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1485','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1485\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{pltm16,<br \/>\r\ntitle = {Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities},<br \/>\r\nauthor = {R P\u00e9rez-Chac\u00f3n and J M Luna-Romera and A Troncoso and F Mart\u00ednez-\u00c1lvarez and J C Riquelme},<br \/>\r\ndoi = {10.3390\/en11030683},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\njournal = {Energies},<br \/>\r\nvolume = {11},<br \/>\r\nnumber = {3},<br \/>\r\npages = {683},<br \/>\r\nnote = {JCR: 2,626},<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('1485','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1485\" 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\/10.3390\/en11030683\" title=\"DOI de seguimiento:10.3390\/en11030683\" target=\"_blank\">doi:10.3390\/en11030683<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1485','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\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><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Arcos-Vargas, A;  Luna-Romera, J M;  Garc\u00eda-Guti\u00e9rrez, J;  Riquelme-Santos, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1484','tp_links')\" style=\"cursor:pointer;\">Contadores inteligentes: ahorros potenciales para el consumidor<\/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\">Dyna, <\/span><span class=\"tp_pub_additional_volume\">vol. 93, <\/span><span class=\"tp_pub_additional_number\">no 3, <\/span><span class=\"tp_pub_additional_pages\">pp. 683, <\/span><span class=\"tp_pub_additional_year\">2018<\/span><span class=\"tp_pub_additional_note\">, (JCR(2017): 0.522)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1484\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1484','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1484\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1484','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1484\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{algr18,<br \/>\r\ntitle = {Contadores inteligentes: ahorros potenciales para el consumidor},<br \/>\r\nauthor = {A Arcos-Vargas and J M Luna-Romera and J Garc\u00eda-Guti\u00e9rrez and J C Riquelme-Santos},<br \/>\r\ndoi = {10.6036\/8782},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-01-01},<br \/>\r\njournal = {Dyna},<br \/>\r\nvolume = {93},<br \/>\r\nnumber = {3},<br \/>\r\npages = {683},<br \/>\r\nnote = {JCR(2017): 0.522},<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('1484','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1484\" 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\/10.6036\/8782\" title=\"DOI de seguimiento:10.6036\/8782\" target=\"_blank\">doi:10.6036\/8782<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1484','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\"> Mateos-Garc\u00eda, D;  Garc\u00eda-Guti\u00e9rrez, Jorge;  Riquelme, J C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1456','tp_links')\" style=\"cursor:pointer;\">An evolutionary voting for k-nearest neighbours<\/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\">Expert Systems with Applications, <\/span><span class=\"tp_pub_additional_volume\">vol. 43, <\/span><span class=\"tp_pub_additional_pages\">pp. 9-14, <\/span><span class=\"tp_pub_additional_year\">2016<\/span><span class=\"tp_pub_additional_note\">, (JCR(2015): 2.981 Q1 19\/130 Computer Science, Artificial Intelligence)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1456\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1456','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1456\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1456','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1456\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{mgr16,<br \/>\r\ntitle = {An evolutionary voting for k-nearest neighbours},<br \/>\r\nauthor = {D Mateos-Garc\u00eda and Jorge Garc\u00eda-Guti\u00e9rrez and J C Riquelme},<br \/>\r\ndoi = {10.1016\/j.eswa.2015.08.017},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-01-01},<br \/>\r\njournal = {Expert Systems with Applications},<br \/>\r\nvolume = {43},<br \/>\r\npages = {9-14},<br \/>\r\nnote = {JCR(2015): 2.981 Q1 19\/130 Computer Science, Artificial Intelligence},<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('1456','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1456\" 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.eswa.2015.08.017\" title=\"DOI de seguimiento:10.1016\/j.eswa.2015.08.017\" target=\"_blank\">doi:10.1016\/j.eswa.2015.08.017<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1456','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;  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><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">93 registros<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 de 2 <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/jose-c-riquelme\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"p\u00e1gina siguiente\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/jose-c-riquelme\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=#tppubs\" title=\"\u00faltima p\u00e1gina\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div>\n","protected":false},"author":1,"featured_media":715,"menu_order":1,"template":"","team_designation":[30],"team_department":[],"class_list":["post-86","team","type-team","status-publish","has-post-thumbnail","hentry","team_designation-catedratico-de-universidad","post-item clearfix"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team\/86","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\/715"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media?parent=86"}],"wp:term":[{"taxonomy":"team_designation","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_designation?post=86"},{"taxonomy":"team_department","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_department?post=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}