{"id":67,"date":"2018-12-03T15:33:42","date_gmt":"2018-12-03T15:33:42","guid":{"rendered":"http:\/\/grupo.us.es\/minerva\/?post_type=team&#038;p=67"},"modified":"2026-10-08T14:11:00","modified_gmt":"2026-10-08T13:11:00","slug":"cristina-rubio-escudero","status":"publish","type":"team","link":"https:\/\/grupo.us.es\/minerva\/equipo\/cristina-rubio-escudero\/","title":{"rendered":"Cristina Rubio Escudero"},"content":{"rendered":"<section class=\"minerva-researcher-profile\" itemscope itemtype=\"https:\/\/schema.org\/Person\" style=\"max-width:100%;overflow-wrap:anywhere;\"><p style=\"font-size:14px;letter-spacing:1px;color:#177d91;\">PERFIL INVESTIGADOR \u00b7 MINERVA<\/p><h1 itemprop=\"name\" style=\"font-size:clamp(26px,3vw,34px);line-height:1.2;margin:14px 0 22px;\">Cristina Rubio Escudero<\/h1><p><strong>Cristina Rubio Escudero<\/strong> forma parte del equipo de <a itemprop=\"memberOf\" href=\"https:\/\/grupo.us.es\/minerva\/\">Minerva<\/a>, grupo de investigaci\u00f3n en inteligencia artificial y ciencia de datos de la Universidad de Sevilla.<\/p><h2 style=\"font-size:24px;line-height:1.3;\">Investigaci\u00f3n<\/h2><p itemprop=\"description\">Su producci\u00f3n cient\u00edfica incluye trabajos sobre miner\u00eda de datos, inteligencia artificial explicable, an\u00e1lisis de datos biom\u00e9dicos y predicci\u00f3n de series temporales.<\/p><p><a itemprop=\"sameAs\" href=\"https:\/\/prisma.us.es\/investigador\/3782\">Perfil de Cristina Rubio Escudero en PRISMA<\/a> \u00b7 <a href=\"https:\/\/grupo.us.es\/minerva\/proyectos\/\">Proyectos y contratos del grupo<\/a> \u00b7 <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/\">Equipo de Minerva<\/a><\/p><h2 style=\"font-size:24px;line-height:1.3;\">Publicaciones de Cristina Rubio Escudero<\/h2><p>Art\u00edculos, contribuciones a congresos y otras publicaciones vinculadas a este perfil. Puedes consultar tambi\u00e9n el <a href=\"https:\/\/grupo.us.es\/minerva\/publicaciones\/\">cat\u00e1logo completo de publicaciones de Minerva<\/a>.<\/p><\/section>\n<div class=\"minerva-profile-publications\" style=\"max-width:100%;overflow-x:auto;\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"tp_search_input\"><input name=\"tsr\" id=\"tp_search_input_field\" type=\"search\" placeholder=\"Enter search word\" value=\"\" tabindex=\"1\"\/><\/div><div class=\"teachpress_filter\"><select class=\"block\" title=\"Todos los a\u00f1os\" name=\"yr\" id=\"yr\" tabindex=\"2\">\r\n                   <option value=\"\">Todos los a\u00f1os<\/option>\r\n                   <option value=\"2026\" >2026<\/option><option value=\"2025\" >2025<\/option><option value=\"2024\" >2024<\/option><option value=\"2023\" >2023<\/option><option value=\"2022\" >2022<\/option><option value=\"2021\" >2021<\/option><option value=\"2020\" >2020<\/option><option value=\"2019\" >2019<\/option><option value=\"2018\" >2018<\/option><option value=\"2017\" >2017<\/option><option value=\"2016\" >2016<\/option><option value=\"2015\" >2015<\/option><option value=\"2014\" >2014<\/option><option value=\"2013\" >2013<\/option><option value=\"2012\" >2012<\/option><option value=\"2011\" >2011<\/option><option value=\"2010\" >2010<\/option><option value=\"2009\" >2009<\/option><option value=\"2008\" >2008<\/option><option value=\"2007\" >2007<\/option><option value=\"2006\" >2006<\/option><option value=\"2005\" >2005<\/option><option value=\"2004\" >2004<\/option><option value=\"2003\" >2003<\/option><option value=\"2002\" >2002<\/option><option value=\"2001\" >2001<\/option><option value=\"2000\" >2000<\/option><option value=\"1999\" >1999<\/option><option value=\"1998\" >1998<\/option><option value=\"1997\" >1997<\/option><option value=\"1995\" >1995<\/option><option value=\"1992\" >1992<\/option>\r\n                <\/select><select class=\"block\" title=\"Todas las tipolog\u00edas\" name=\"type\" id=\"type\" tabindex=\"3\">\r\n                   <option value=\"\">Todas las tipolog\u00edas<\/option>\r\n                   <option value=\"article\" >Art\u00edculos de revista<\/option><option value=\"book\" >Libros<\/option><option value=\"inbook\" >Cap\u00edtulos de libros<\/option><option value=\"incollection\" >Book Sections<\/option><option value=\"inproceedings\" >Proceedings Articles<\/option><option value=\"presentation\" >Presentaciones<\/option>\r\n                <\/select><div class=\"teachpress_search_button\"><input name=\"tps_button\" class=\"tp_search_button\" type=\"submit\" tabindex=\"10\" value=\"Buscar\"\/><\/div><\/div><\/form><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">78 registros<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 de 4 <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/cristina-rubio-escudero\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"p\u00e1gina siguiente\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/cristina-rubio-escudero\/?limit=4&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"\u00faltima p\u00e1gina\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2026\">2026<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">1.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> V\u00e1squez, Alejandro;  Rubio-Escudero, Cristina;  Escobar-Rodr\u00edguez, Germ\u00e1n Antonio<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1917','tp_links')\" style=\"cursor:pointer;\">Automated Classification of Ischemic Stroke Subtypes from Electronic Health Records Using Large Language Models<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_pages\">pp. 268\u2013281, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1917\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1917','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1917\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1917','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1917\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{prisma276982,<br \/>\r\ntitle = {Automated Classification of Ischemic Stroke Subtypes from Electronic Health Records Using Large Language Models},<br \/>\r\nauthor = {Alejandro V\u00e1squez and Cristina Rubio-Escudero and Germ\u00e1n Antonio Escobar-Rodr\u00edguez},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/276982},<br \/>\r\ndoi = {10.1007\/978-3-032-10661-2_21},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-01},<br \/>\r\nbooktitle = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {16148 LNBI},<br \/>\r\npages = {268\u2013281},<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('1917','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1917\" 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:\/\/prisma.us.es\/publicacion\/276982\" title=\"https:\/\/prisma.us.es\/publicacion\/276982\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/276982<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-032-10661-2_21\" title=\"DOI de seguimiento:10.1007\/978-3-032-10661-2_21\" target=\"_blank\">doi:10.1007\/978-3-032-10661-2_21<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1917','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">2.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega-M\u00e1rquez, Bel\u00e9n;  Rubio-Escudero, Cristina;  Pontes-Balanza, Beatriz<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1918','tp_links')\" style=\"cursor:pointer;\">Towards an Explainability Agent: Leveraging LLMs to Interpret LIME Outputs<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_pages\">pp. 17\u201328, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1918\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1918','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1918\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1918','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1918\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{prisma276974,<br \/>\r\ntitle = {Towards an Explainability Agent: Leveraging LLMs to Interpret LIME Outputs},<br \/>\r\nauthor = {Bel\u00e9n Vega-M\u00e1rquez and Cristina Rubio-Escudero and Beatriz Pontes-Balanza},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/276974},<br \/>\r\ndoi = {10.1007\/978-3-032-10661-2_2},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-01},<br \/>\r\nbooktitle = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {16148 LNBI},<br \/>\r\npages = {17\u201328},<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('1918','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1918\" 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:\/\/prisma.us.es\/publicacion\/276974\" title=\"https:\/\/prisma.us.es\/publicacion\/276974\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/276974<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-032-10661-2_2\" title=\"DOI de seguimiento:10.1007\/978-3-032-10661-2_2\" target=\"_blank\">doi:10.1007\/978-3-032-10661-2_2<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1918','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">3.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Arkah, Zinah Mohsin;  Pontes, Beatriz;  Rubio, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1758','tp_links')\" style=\"cursor:pointer;\">Explainable Deep Learning Techniques for Medical Image Analysis: A Systematic Review of Diabetic Foot Ulcers, Breast Cancer, and COVID-19<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Lecture Notes in Computer Science, <\/span><span class=\"tp_pub_additional_pages\">pp. 45\u201356, <\/span><span class=\"tp_pub_additional_year\">2026<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1758\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1758','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1758\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1758','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1758\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{prisma276971,<br \/>\r\ntitle = {Explainable Deep Learning Techniques for Medical Image Analysis: A Systematic Review of Diabetic Foot Ulcers, Breast Cancer, and COVID-19},<br \/>\r\nauthor = {Zinah Mohsin Arkah and Beatriz Pontes and Cristina Rubio},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/276971},<br \/>\r\ndoi = {10.1007\/978-3-032-10661-2_4},<br \/>\r\nyear  = {2026},<br \/>\r\ndate = {2026-01-01},<br \/>\r\nbooktitle = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {16148 LNBI},<br \/>\r\npages = {45\u201356},<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('1758','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1758\" 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:\/\/prisma.us.es\/publicacion\/276971\" title=\"https:\/\/prisma.us.es\/publicacion\/276971\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/276971<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-032-10661-2_4\" title=\"DOI de seguimiento:10.1007\/978-3-032-10661-2_4\" target=\"_blank\">doi:10.1007\/978-3-032-10661-2_4<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1758','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2025\">2025<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">4.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, L.;  Guti\u00e9rrez-Avil\u00e9s, D.;  Rubio-Escudero, C.;  Troncoso, A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1654','tp_links')\" style=\"cursor:pointer;\">Online forecasting using neighbor-based incremental learning for electricity markets<\/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\">NEURAL COMPUTING &amp; APPLICATIONS, <\/span><span class=\"tp_pub_additional_volume\">vol. 37, <\/span><span class=\"tp_pub_additional_number\">no 27, <\/span><span class=\"tp_pub_additional_pages\">pp. 22923\u201322940, <\/span><span class=\"tp_pub_additional_year\">2025<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1654\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1654','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1654\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1654','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1654\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{prisma258560,<br \/>\r\ntitle = {Online forecasting using neighbor-based incremental learning for electricity markets},<br \/>\r\nauthor = {L. Melgar-Garc\u00eda and D. Guti\u00e9rrez-Avil\u00e9s and C. Rubio-Escudero and A. Troncoso},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/258560},<br \/>\r\ndoi = {10.1007\/s00521-024-10876-x},<br \/>\r\nyear  = {2025},<br \/>\r\ndate = {2025-01-01},<br \/>\r\njournal = {NEURAL COMPUTING & APPLICATIONS},<br \/>\r\nvolume = {37},<br \/>\r\nnumber = {27},<br \/>\r\npages = {22923\u201322940},<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('1654','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1654\" 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:\/\/prisma.us.es\/publicacion\/258560\" title=\"https:\/\/prisma.us.es\/publicacion\/258560\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/258560<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s00521-024-10876-x\" title=\"DOI de seguimiento:10.1007\/s00521-024-10876-x\" target=\"_blank\">doi:10.1007\/s00521-024-10876-x<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1654','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">5.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega-M\u00e1rquez, B;  Sol\u00eds-Garc\u00eda, J;  Nepomuceno-Chamorro, IA;  Rubio-Escudero, C<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1727','tp_links')\" style=\"cursor:pointer;\">A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science 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\">Logic Journal of the IGPL, <\/span><span class=\"tp_pub_additional_volume\">vol. 32, <\/span><span class=\"tp_pub_additional_number\">no 6, <\/span><span class=\"tp_pub_additional_pages\">pp. 1036\u20131047, <\/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_1727\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1727','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1727\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1727','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1727\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{prisma243647,<br \/>\r\ntitle = {A comparison of time series lags and non-lags in Spanish electricity price forecasting using data science models},<br \/>\r\nauthor = {B Vega-M\u00e1rquez and J Sol\u00eds-Garc\u00eda and IA Nepomuceno-Chamorro and C Rubio-Escudero},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/243647},<br \/>\r\ndoi = {10.1093\/jigpal\/jzae034},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Logic Journal of the IGPL},<br \/>\r\nvolume = {32},<br \/>\r\nnumber = {6},<br \/>\r\npages = {1036\u20131047},<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('1727','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1727\" 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:\/\/prisma.us.es\/publicacion\/243647\" title=\"https:\/\/prisma.us.es\/publicacion\/243647\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/243647<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1093\/jigpal\/jzae034\" title=\"DOI de seguimiento:10.1093\/jigpal\/jzae034\" target=\"_blank\">doi:10.1093\/jigpal\/jzae034<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1727','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">6.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Mart\u00ednez-\u00c1lvarez, Francisco;  Scitovski, Rudolf;  Rubio-Escudero, Cristina;  Morales-Esteban, Antonio<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1919','tp_links')\" style=\"cursor:pointer;\">Emerging trends in big data analytics and natural disasters<\/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\">COMPUTERS &amp; GEOSCIENCES, <\/span><span class=\"tp_pub_additional_volume\">vol. 182, <\/span><span class=\"tp_pub_additional_year\">2024<\/span><span class=\"tp_pub_additional_note\">, (Tipo en PRISMA: Editorial.)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1919\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1919','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1919\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1919','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1919\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{prisma231980,<br \/>\r\ntitle = {Emerging trends in big data analytics and natural disasters},<br \/>\r\nauthor = {Francisco Mart\u00ednez-\u00c1lvarez and Rudolf Scitovski and Cristina Rubio-Escudero and Antonio Morales-Esteban},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/231980},<br \/>\r\ndoi = {10.1016\/j.cageo.2023.105465},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nurldate = {2024-01-01},<br \/>\r\nbooktitle = {COMPUTERS & GEOSCIENCES},<br \/>\r\njournal = {COMPUTERS & GEOSCIENCES},<br \/>\r\nvolume = {182},<br \/>\r\nnote = {Tipo en PRISMA: Editorial.},<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('1919','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1919\" 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:\/\/prisma.us.es\/publicacion\/231980\" title=\"https:\/\/prisma.us.es\/publicacion\/231980\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/231980<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.cageo.2023.105465\" title=\"DOI de seguimiento:10.1016\/j.cageo.2023.105465\" target=\"_blank\">doi:10.1016\/j.cageo.2023.105465<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1919','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">7.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Arkah, Zinah Mohsin;  Pontes, Beatriz;  Rubio, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1760','tp_links')\" style=\"cursor:pointer;\">Interpretation of Diabetic Foot Ulcer Image Classification Using Layer Attribution Algorithms<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">Lecture Notes in Networks and Systems, <\/span><span class=\"tp_pub_additional_pages\">pp. 13\u201322, <\/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_1760\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1760','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1760\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1760','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1760\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{prisma254928,<br \/>\r\ntitle = {Interpretation of Diabetic Foot Ulcer Image Classification Using Layer Attribution Algorithms},<br \/>\r\nauthor = {Zinah Mohsin Arkah and Beatriz Pontes and Cristina Rubio},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/254928},<br \/>\r\ndoi = {10.1007\/978-3-031-75013-7_2},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\nbooktitle = {Lecture Notes in Networks and Systems},<br \/>\r\nvolume = {888 LNNS},<br \/>\r\npages = {13\u201322},<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('1760','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1760\" 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:\/\/prisma.us.es\/publicacion\/254928\" title=\"https:\/\/prisma.us.es\/publicacion\/254928\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/254928<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-75013-7_2\" title=\"DOI de seguimiento:10.1007\/978-3-031-75013-7_2\" target=\"_blank\">doi:10.1007\/978-3-031-75013-7_2<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1760','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_number\">8.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, Laura;  Guti\u00e9rrez-Avil\u00e9s, David;  Rubio-Escudero, Cristina;  Troncoso, Alicia<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1547','tp_links')\" style=\"cursor:pointer;\">A Novel Distributed Forecasting Method Based on Information Fusion and Incremental Learning for Streaming Time Series<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">SSRN Electronic Journal, <\/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_1547\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1547','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1547\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1547','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1547\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articleh,<br \/>\r\ntitle = {A Novel Distributed Forecasting Method Based on Information Fusion and Incremental Learning for Streaming Time Series},<br \/>\r\nauthor = {Laura Melgar-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Cristina Rubio-Escudero and Alicia Troncoso},<br \/>\r\ndoi = {10.2139\/ssrn.4326600},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {SSRN Electronic Journal},<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('1547','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1547\" 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\/10.2139\/ssrn.4326600\" title=\"DOI de seguimiento:10.2139\/ssrn.4326600\" target=\"_blank\">doi:10.2139\/ssrn.4326600<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1547','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">9.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, Laura;  Guti\u00e9rrez-Avil\u00e9s, David;  Rubio-Escudero, Cristina;  Troncoso, Alicia<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1609','tp_links')\" style=\"cursor:pointer;\">Identifying novelties and anomalies for incremental learning in streaming 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\">Engineering Applications of Artificial Intelligence, <\/span><span class=\"tp_pub_additional_volume\">vol. 123, <\/span><span class=\"tp_pub_additional_pages\">pp. 106326, <\/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_1609\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1609','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1609\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1609','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1609\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.engappai.2023.106326,<br \/>\r\ntitle = {Identifying novelties and anomalies for incremental learning in streaming time series forecasting},<br \/>\r\nauthor = {Laura Melgar-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Cristina Rubio-Escudero and Alicia Troncoso},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.engappai.2023.106326},<br \/>\r\ndoi = {10.1016\/j.engappai.2023.106326},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Engineering Applications of Artificial Intelligence},<br \/>\r\nvolume = {123},<br \/>\r\npages = {106326},<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('1609','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1609\" 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.2023.106326\" title=\"https:\/\/doi.org\/10.1016\/j.engappai.2023.106326\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.engappai.2023.106326<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.engappai.2023.106326\" title=\"DOI de seguimiento:10.1016\/j.engappai.2023.106326\" target=\"_blank\">doi:10.1016\/j.engappai.2023.106326<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1609','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">10.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Amaya-Rodr\u00edguez, Isabel;  Larburu, Nekane;  Martinez-Herrera, Mar\u00eda Roll\u00e1n;  Rebescher, Kristin;  Macia, Iv\u00e1n; de la Hoz, Miguel \u00c1. Armengol;  Rubio-Escudero, Cristina;  Gar\u00edn-Muga, Alba<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1920','tp_links')\" style=\"cursor:pointer;\">PDSS: A pharmacological decision support system for diabetics patients with COVID-19<\/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\">Studies in Health Technology and Informatics, <\/span><span class=\"tp_pub_additional_volume\">vol. 302, <\/span><span class=\"tp_pub_additional_pages\">pp. 521\u2013525, <\/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_1920\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1920','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1920\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1920','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1920\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{prisma226429,<br \/>\r\ntitle = {PDSS: A pharmacological decision support system for diabetics patients with COVID-19},<br \/>\r\nauthor = {Isabel Amaya-Rodr\u00edguez and Nekane Larburu and Mar\u00eda Roll\u00e1n Martinez-Herrera and Kristin Rebescher and Iv\u00e1n Macia and Miguel \u00c1. Armengol de la Hoz and Cristina Rubio-Escudero and Alba Gar\u00edn-Muga},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/226429},<br \/>\r\ndoi = {10.3233\/SHTI230197},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Studies in Health Technology and Informatics},<br \/>\r\nvolume = {302},<br \/>\r\npages = {521\u2013525},<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('1920','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1920\" 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:\/\/prisma.us.es\/publicacion\/226429\" title=\"https:\/\/prisma.us.es\/publicacion\/226429\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/226429<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/SHTI230197\" title=\"DOI de seguimiento:10.3233\/SHTI230197\" target=\"_blank\">doi:10.3233\/SHTI230197<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1920','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_number\">11.<\/div><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_inbook\"><div class=\"tp_pub_number\">12.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Sol\u00ed\u00ads-Garc\u00ed\u00ada, Javier;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1541','tp_links')\" style=\"cursor:pointer;\">An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting<\/a> <span class=\"tp_pub_type tp_  inbook\">Cap\u00edtulo de libro<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_pages\">pp. 675-684, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-87868-9<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1541','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1541\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1541','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1541\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{inbook,<br \/>\r\ntitle = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting},<br \/>\r\nauthor = {Bel\u00e9n Vega and Javier Sol\u00ed\u00ads-Garc\u00ed\u00ada and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1007\/978-3-030-87869-6_64},<br \/>\r\nisbn = {978-3-030-87868-9},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\npages = {675-684},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1541','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1541\" 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\/978-3-030-87869-6_64\" title=\"DOI de seguimiento:10.1007\/978-3-030-87869-6_64\" target=\"_blank\">doi:10.1007\/978-3-030-87869-6_64<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1541','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">13.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Serrano, Lidia;  Rodr\u00edguez-Herrera, Alfonso;  Serrat, Carles;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1548','tp_links')\" style=\"cursor:pointer;\">Sa1267: INTRODUCING JOINT MODELING TECHNIQUES FOR PERSONALIZED PREDICTIONS IN CELIAC DISEASE<\/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\">Gastroenterology, <\/span><span class=\"tp_pub_additional_volume\">vol. 162, <\/span><span class=\"tp_pub_additional_pages\">pp. S-361, <\/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_1548\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1548','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1548\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1548','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1548\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlei,<br \/>\r\ntitle = {Sa1267: INTRODUCING JOINT MODELING TECHNIQUES FOR PERSONALIZED PREDICTIONS IN CELIAC DISEASE},<br \/>\r\nauthor = {Lidia Serrano and Alfonso Rodr\u00edguez-Herrera and Carles Serrat and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1016\/S0016-5085(22)60867-9},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Gastroenterology},<br \/>\r\nvolume = {162},<br \/>\r\npages = {S-361},<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('1548','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1548\" 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\/S0016-5085(22)60867-9\" title=\"DOI de seguimiento:10.1016\/S0016-5085(22)60867-9\" target=\"_blank\">doi:10.1016\/S0016-5085(22)60867-9<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1548','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">14.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, Laura;  Guti\u00e9rrez-Avil\u00e9s, David;  Godinho, Maria Teresa;  Espada, Rita;  Brito, Isabel;  Mart\u00ednez-\u00c1lvarez, Francisco;  Troncoso, Alicia;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1549','tp_links')\" style=\"cursor:pointer;\">A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture<\/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. 500, <\/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_1549\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1549','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1549\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1549','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1549\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articlej,<br \/>\r\ntitle = {A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture},<br \/>\r\nauthor = {Laura Melgar-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Maria Teresa Godinho and Rita Espada and Isabel Brito and Francisco Mart\u00ednez-\u00c1lvarez and Alicia Troncoso and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1016\/j.neucom.2021.06.101},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Neurocomputing},<br \/>\r\nvolume = {500},<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('1549','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1549\" 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.2021.06.101\" title=\"DOI de seguimiento:10.1016\/j.neucom.2021.06.101\" target=\"_blank\">doi:10.1016\/j.neucom.2021.06.101<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1549','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_number\">15.<\/div><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_inbook\"><div class=\"tp_pub_number\">16.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Sol\u00ed\u00ads-Garc\u00ed\u00ada, Javier;  Nepomuceno-Chamorro, Isabel;  Rubio-Escudero, Cristina<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1551','tp_links')\" style=\"cursor:pointer;\">An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting<\/a> <span class=\"tp_pub_type tp_  inbook\">Cap\u00edtulo de libro<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_pages\">pp. 675-684, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-87868-9<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1551\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1551','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1551\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1551','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1551\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{inbookb,<br \/>\r\ntitle = {An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting},<br \/>\r\nauthor = {Bel\u00e9n Vega and Javier Sol\u00ed\u00ads-Garc\u00ed\u00ada and Isabel Nepomuceno-Chamorro and Cristina Rubio-Escudero},<br \/>\r\ndoi = {10.1007\/978-3-030-87869-6_64},<br \/>\r\nisbn = {978-3-030-87868-9},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\npages = {675-684},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1551','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1551\" 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\/978-3-030-87869-6_64\" title=\"DOI de seguimiento:10.1007\/978-3-030-87869-6_64\" target=\"_blank\">doi:10.1007\/978-3-030-87869-6_64<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1551','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_number\">17.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, Laura;  Guti\u00e9rrez-Avil\u00e9s, David;  Rubio-Escudero, Cristina;  Troncoso, Alicia<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1657','tp_links')\" style=\"cursor:pointer;\">Nearest neighbors with incremental learning for real-time forecasting of electricity demand<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_booktitle\">IEEE International Conference on Data Mining Workshops, ICDMW, <\/span><span class=\"tp_pub_additional_pages\">pp. 834\u2013841, <\/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_1657\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1657','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1657\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1657','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1657\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{prisma219544,<br \/>\r\ntitle = {Nearest neighbors with incremental learning for real-time forecasting of electricity demand},<br \/>\r\nauthor = {Laura Melgar-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Cristina Rubio-Escudero and Alicia Troncoso},<br \/>\r\nurl = {https:\/\/prisma.us.es\/publicacion\/219544},<br \/>\r\ndoi = {10.1109\/ICDMW58026.2022.00112},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {IEEE International Conference on Data Mining Workshops, ICDMW},<br \/>\r\nvolume = {2022-November},<br \/>\r\npages = {834\u2013841},<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('1657','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1657\" 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:\/\/prisma.us.es\/publicacion\/219544\" title=\"https:\/\/prisma.us.es\/publicacion\/219544\" target=\"_blank\">https:\/\/prisma.us.es\/publicacion\/219544<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/ICDMW58026.2022.00112\" title=\"DOI de seguimiento:10.1109\/ICDMW58026.2022.00112\" target=\"_blank\">doi:10.1109\/ICDMW58026.2022.00112<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1657','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_number\">18.<\/div><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_number\">19.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Vega, Bel\u00e9n;  Rubio-Escudero, Cristina;  Nepomuceno-Chamorro, Isabel;  Arcos-Vargas, Angel<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1543','tp_links')\" style=\"cursor:pointer;\">Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods 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\">Applied Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 6097, <\/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_1543\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1543','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1543\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1543','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1543\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{articled,<br \/>\r\ntitle = {Use of Deep Learning Architectures for Day-Ahead Electricity Price Forecasting over Different Time Periods in the Spanish Electricity Market},<br \/>\r\nauthor = {Bel\u00e9n Vega and Cristina Rubio-Escudero and Isabel Nepomuceno-Chamorro and Angel Arcos-Vargas},<br \/>\r\ndoi = {10.3390\/app11136097},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {11},<br \/>\r\npages = {6097},<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('1543','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1543\" 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\/app11136097\" title=\"DOI de seguimiento:10.3390\/app11136097\" target=\"_blank\">doi:10.3390\/app11136097<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1543','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_number\">20.<\/div><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Melgar-Garc\u00eda, Laura;  Guti\u00e9rrez-Avil\u00e9s, David;  Rubio-Escudero, Cristina;  Troncoso, Alicia<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1552','tp_links')\" style=\"cursor:pointer;\">Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming<\/a> <span class=\"tp_pub_type tp_  inbook\">Cap\u00edtulo de libro<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_pages\">pp. 185-195, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-3-030-85712-7<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1552\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1552','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1552\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1552','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1552\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{inbookc,<br \/>\r\ntitle = {Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming},<br \/>\r\nauthor = {Laura Melgar-Garc\u00eda and David Guti\u00e9rrez-Avil\u00e9s and Cristina Rubio-Escudero and Alicia Troncoso},<br \/>\r\ndoi = {10.1007\/978-3-030-85713-4_18},<br \/>\r\nisbn = {978-3-030-85712-7},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\npages = {185-195},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1552','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1552\" 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\/978-3-030-85713-4_18\" title=\"DOI de seguimiento:10.1007\/978-3-030-85713-4_18\" target=\"_blank\">doi:10.1007\/978-3-030-85713-4_18<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1552','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><\/div><div class=\"tablenav\"><div class=\"tablenav-pages\"><span class=\"displaying-num\">78 registros<\/span> <a class=\"page-numbers button disabled\">&laquo;<\/a> <a class=\"page-numbers button disabled\">&lsaquo;<\/a> 1 de 4 <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/cristina-rubio-escudero\/?limit=2&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"p\u00e1gina siguiente\" class=\"page-numbers button\">&rsaquo;<\/a> <a href=\"https:\/\/grupo.us.es\/minerva\/equipo\/cristina-rubio-escudero\/?limit=4&amp;tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=&amp;tsr=\" title=\"\u00faltima p\u00e1gina\" class=\"page-numbers button\">&raquo;<\/a> <\/div><\/div><\/div>\n\n\n<p><\/p>\n<\/div>\n<script>\n(function(){function enhanceMinervaPublications(){var root=document.querySelector('.minerva-profile-publications');if(!root)return;var 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