{"id":428,"date":"2020-03-06T10:29:53","date_gmt":"2020-03-06T10:29:53","guid":{"rendered":"http:\/\/grupo.us.es\/minerva\/?post_type=team&#038;p=428"},"modified":"2024-05-15T12:46:04","modified_gmt":"2024-05-15T11:46:04","slug":"manuel-carranza-garcia","status":"publish","type":"team","link":"https:\/\/grupo.us.es\/minerva\/equipo\/manuel-carranza-garcia\/","title":{"rendered":"Manuel Carranza Garc\u00eda"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> 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\"> Riquelme-Dominguez, Jose Miguel;  Carranza-Garc\u00eda, Manuel;  Lara-Ben\u00edtez, Pedro;  Gonz\u00e1lez-Longatt, Francisco M.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1579','tp_links')\" style=\"cursor:pointer;\">A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">International Journal of Electrical Power &amp;amp; Energy Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. 156, <\/span><span class=\"tp_pub_additional_pages\">pp. 109730, <\/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_1579\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1579','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1579\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1579','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1579\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1016\/j.ijepes.2023.109730,<br \/>\r\ntitle = {A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case},<br \/>\r\nauthor = {Jose Miguel Riquelme-Dominguez and Manuel Carranza-Garc\u00eda and Pedro Lara-Ben\u00edtez and Francisco M. Gonz\u00e1lez-Longatt},<br \/>\r\nurl = {https:\/\/doi.org\/10.1016\/j.ijepes.2023.109730},<br \/>\r\ndoi = {10.1016\/j.ijepes.2023.109730},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {International Journal of Electrical Power &amp; Energy Systems},<br \/>\r\nvolume = {156},<br \/>\r\npages = {109730},<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('1579','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1579\" 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.2023.109730\" title=\"https:\/\/doi.org\/10.1016\/j.ijepes.2023.109730\" target=\"_blank\">https:\/\/doi.org\/10.1016\/j.ijepes.2023.109730<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ijepes.2023.109730\" title=\"DOI de seguimiento:10.1016\/j.ijepes.2023.109730\" target=\"_blank\">doi:10.1016\/j.ijepes.2023.109730<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1579','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><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Salazar-Gonz\u00e1lez, Jos\u00e9 L.;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Carranza-Garc\u00eda, Manuel;  \u00c1lvarez-Garc\u00eda, Juan A.;  Soria-Morillo, Luis M.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1581','tp_links')\" style=\"cursor:pointer;\">Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation<\/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. 31, <\/span><span class=\"tp_pub_additional_pages\">pp. 307-326, <\/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_1581\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1581','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1581\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1581','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1581\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.3233\/ica-230726,<br \/>\r\ntitle = {Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation},<br \/>\r\nauthor = {Jos\u00e9 L. Salazar-Gonz\u00e1lez and Jos\u00e9 Mar\u00eda Luna-Romera and Manuel Carranza-Garc\u00eda and Juan A. \u00c1lvarez-Garc\u00eda and Luis M. Soria-Morillo},<br \/>\r\nurl = {https:\/\/doi.org\/10.3233\/ica-230726},<br \/>\r\ndoi = {10.3233\/ica-230726},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-01-01},<br \/>\r\njournal = {Integrated Computer-Aided Engineering},<br \/>\r\nvolume = {31},<br \/>\r\npages = {307-326},<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('1581','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1581\" 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\/10.3233\/ica-230726\" title=\"https:\/\/doi.org\/10.3233\/ica-230726\" target=\"_blank\">https:\/\/doi.org\/10.3233\/ica-230726<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3233\/ica-230726\" title=\"DOI de seguimiento:10.3233\/ica-230726\" target=\"_blank\">doi:10.3233\/ica-230726<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1581','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Jim\u00e9nez-Navarro, Manuel J.;  Vega-M\u00e1rquez, Bel\u00e9n;  Luna-Romera, Jos\u00e9 Mar\u00eda;  Carranza-Garc\u00eda, Manuel;  Mart\u00ednez-Ballesteros, Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1569','tp_links')\" style=\"cursor:pointer;\">Association Rule Analysis of\u00a0Student Satisfaction Surveys for\u00a0Teaching Quality Evaluation<\/a> <span class=\"tp_pub_type tp_  article\">Art\u00edculo de revista<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">En: <\/span><span class=\"tp_pub_additional_journal\">Lecture Notes in Networks and Systems, <\/span><span class=\"tp_pub_additional_volume\">vol. N\/A, <\/span><span class=\"tp_pub_additional_pages\">pp. 319-328, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1569\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1569','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1569\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1569','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1569\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42519-6_30,<br \/>\r\ntitle = {Association Rule Analysis of\u00a0Student Satisfaction Surveys for\u00a0Teaching Quality Evaluation},<br \/>\r\nauthor = {Manuel J. Jim\u00e9nez-Navarro and Bel\u00e9n Vega-M\u00e1rquez and Jos\u00e9 Mar\u00eda Luna-Romera and Manuel Carranza-Garc\u00eda and Mar\u00eda Mart\u00ednez-Ballesteros},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30},<br \/>\r\ndoi = {10.1007\/978-3-031-42519-6_30},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Lecture Notes in Networks and Systems},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {319-328},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1569','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1569\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42519-6_30<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-42519-6_30\" title=\"DOI de seguimiento:10.1007\/978-3-031-42519-6_30\" target=\"_blank\">doi:10.1007\/978-3-031-42519-6_30<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1569','tp_links')\">Cerrar<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> 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\"> Gal\u00e1n-Sales, F. Javier;  Reina-Jim\u00e9nez, Pablo;  Carranza-Garc\u00eda, Manuel;  Luna-Romera, Jos\u00e9 Mar\u00eda<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1584','tp_links')\" style=\"cursor:pointer;\">An Approach to\u00a0Enhance Time Series Forecasting by\u00a0Fast Fourier Transform<\/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. 259-268, <\/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_1584\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1584','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1584\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1584','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1584\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-031-42529-5_25,<br \/>\r\ntitle = {An Approach to\u00a0Enhance Time Series Forecasting by\u00a0Fast Fourier Transform},<br \/>\r\nauthor = {F. Javier Gal\u00e1n-Sales and Pablo Reina-Jim\u00e9nez and Manuel Carranza-Garc\u00eda and Jos\u00e9 Mar\u00eda Luna-Romera},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-031-42529-5_25},<br \/>\r\ndoi = {10.1007\/978-3-031-42529-5_25},<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 = {259-268},<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('1584','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1584\" 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\/978-3-031-42529-5_25\" title=\"https:\/\/doi.org\/10.1007\/978-3-031-42529-5_25\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-031-42529-5_25<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-031-42529-5_25\" title=\"DOI de seguimiento:10.1007\/978-3-031-42529-5_25\" target=\"_blank\">doi:10.1007\/978-3-031-42529-5_25<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1584','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><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><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\"> 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\"> 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_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\"> 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;  Gallego-Ledesma, Luis;  Carranza-Garc\u00eda, Manuel;  Luna-Romera, Jos\u00e9 M.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1591','tp_links')\" style=\"cursor:pointer;\">Evaluation of the Transformer Architecture for Univariate Time Series\u00a0Forecasting<\/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. 106-115, <\/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_1591\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1591','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1591\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1591','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1591\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.1007\/978-3-030-85713-4_11,<br \/>\r\ntitle = {Evaluation of the Transformer Architecture for Univariate Time Series\u00a0Forecasting},<br \/>\r\nauthor = {Pedro Lara-Ben\u00edtez and Luis Gallego-Ledesma and Manuel Carranza-Garc\u00eda and Jos\u00e9 M. Luna-Romera},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/978-3-030-85713-4_11},<br \/>\r\ndoi = {10.1007\/978-3-030-85713-4_11},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Lecture Notes in Computer Science},<br \/>\r\nvolume = {N\/A},<br \/>\r\npages = {106-115},<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('1591','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1591\" 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\/978-3-030-85713-4_11\" title=\"https:\/\/doi.org\/10.1007\/978-3-030-85713-4_11\" target=\"_blank\">https:\/\/doi.org\/10.1007\/978-3-030-85713-4_11<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-030-85713-4_11\" title=\"DOI de seguimiento:10.1007\/978-3-030-85713-4_11\" target=\"_blank\">doi:10.1007\/978-3-030-85713-4_11<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1591','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><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\"> Carranza-Garc\u00eda, Manuel;  Torres-Mateo, Jes\u00fas;  Lara-Ben\u00edtez, Pedro;  Garc\u00eda-Guti\u00e9rrez, Jorge<\/p><p class=\"tp_pub_title\"><a href=\"https:\/\/grupo.us.es\/minerva\/on-the-performance-of-one-stage-and-two-stage-object-detectors-in-autonomous-vehicles-using-camera-data\/\">On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data<\/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. 13, <\/span><span class=\"tp_pub_additional_pages\">pp. 89, <\/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_1593\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1593','tp_links')\" title=\"Mostrar enlaces y recursos\" style=\"cursor:pointer;\">Enlaces<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1593\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1593','tp_bibtex')\" title=\"Mostrar entrada BibTeX \" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1593\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{10.3390\/rs13010089,<br \/>\r\ntitle = {On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data},<br \/>\r\nauthor = {Manuel Carranza-Garc\u00eda and Jes\u00fas Torres-Mateo and Pedro Lara-Ben\u00edtez and Jorge Garc\u00eda-Guti\u00e9rrez},<br \/>\r\nurl = {https:\/\/doi.org\/10.3390\/rs13010089},<br \/>\r\ndoi = {10.3390\/rs13010089},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\njournal = {Remote Sensing},<br \/>\r\nvolume = {13},<br \/>\r\npages = {89},<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('1593','tp_bibtex')\">Cerrar<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1593\" 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\/rs13010089\" title=\"https:\/\/doi.org\/10.3390\/rs13010089\" target=\"_blank\">https:\/\/doi.org\/10.3390\/rs13010089<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/rs13010089\" title=\"DOI de seguimiento:10.3390\/rs13010089\" target=\"_blank\">doi:10.3390\/rs13010089<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1593','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\"> 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><\/div>\n","protected":false},"author":2,"featured_media":704,"menu_order":15,"template":"","team_designation":[38],"team_department":[],"class_list":["post-428","team","type-team","status-publish","has-post-thumbnail","hentry","team_designation-profesor-ayudante-doctor","post-item clearfix"],"_links":{"self":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team\/428","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\/2"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media\/704"}],"wp:attachment":[{"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/media?parent=428"}],"wp:term":[{"taxonomy":"team_designation","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_designation?post=428"},{"taxonomy":"team_department","embeddable":true,"href":"https:\/\/grupo.us.es\/minerva\/wp-json\/wp\/v2\/team_department?post=428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}