{"id":2143,"date":"2021-09-15T14:12:46","date_gmt":"2021-09-15T12:12:46","guid":{"rendered":"http:\/\/heartproject.gr\/?page_id=2143"},"modified":"2024-01-15T15:13:05","modified_gmt":"2024-01-15T13:13:05","slug":"publications","status":"publish","type":"page","link":"https:\/\/heartproject.gr\/el\/publications\/","title":{"rendered":"\u0394\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"2143\" class=\"elementor elementor-2143\">\n\t\t\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-2296c7ec elementor-section-stretched elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle jltma-glass-effect-no elementor-invisible\" data-id=\"2296c7ec\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;animation&quot;:&quot;fadeIn&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3b479c2e jltma-glass-effect-no\" data-id=\"3b479c2e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-61501058 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"61501058\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">\u0394\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64750db3 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"64750db3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03b9\u03c2 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf \u03ad\u03c1\u03b3\u03bf<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-321138fc elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"321138fc\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-77cc971 jltma-glass-effect-no\" data-id=\"77cc971\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5614b2d jltma-glass-effect-no elementor-widget elementor-widget-shortcode\" data-id=\"5614b2d\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\" action=\"\"><a name=\"tppubs\" id=\"tppubs\"><\/a><input type=\"hidden\" name=\"trp-form-language\" value=\"el\"\/><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_proceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Voulgaris, Efstratios;  Dimitriadis, Ilias;  Giakatos, Dimitrios P.;  Vakali, Athena;  Papakonstantinou, Athanasios;  Chatzigiannis, Dimitris<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('12','tp_links')\" style=\"cursor:pointer;\">ENCOVIZ: An open-source, secure and multi-role energy consumption visualisation platform<\/a> <span class=\"tp_pub_type proceedings\">Proceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_12\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('12','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_12\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('12','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_12\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@proceedings{voulgaris2023encoviz,<br \/>\r\ntitle = {ENCOVIZ: An open-source, secure and multi-role energy consumption visualisation platform},<br \/>\r\nauthor = { Efstratios Voulgaris and Ilias Dimitriadis and Dimitrios P. Giakatos and Athena Vakali and Athanasios Papakonstantinou and Dimitris Chatzigiannis},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10345853},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\nurldate = {2023-01-01},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {proceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('12','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_12\" 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:\/\/ieeexplore.ieee.org\/abstract\/document\/10345853\" title=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/10345853\" target=\"_blank\">https:\/\/ieeexplore.ieee.org\/abstract\/document\/10345853<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('12','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Tsilingeridis, Odysseas;  Moustaka, Vaia;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('13','tp_links')\" style=\"cursor:pointer;\">Design and development of a forecasting tool for the identification of new target markets by open time-series data and deep learning methods<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Soft Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. 132, <\/span><span class=\"tp_pub_additional_pages\">pp. 109843, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1568-4946<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_13\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{TSILINGERIDIS2023109843,<br \/>\r\ntitle = {Design and development of a forecasting tool for the identification of new target markets by open time-series data and deep learning methods},<br \/>\r\nauthor = { Odysseas Tsilingeridis and Vaia Moustaka and Athena Vakali},<br \/>\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494622008924},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.asoc.2022.109843},<br \/>\r\nissn = {1568-4946},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Applied Soft Computing},<br \/>\r\nvolume = {132},<br \/>\r\npages = {109843},<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('13','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_13\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494622008924\" title=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494622008924\" target=\"_blank\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1568494622008924<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.asoc.2022.109843\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.asoc.2022.109843\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.asoc.2022.109843<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Dimitriadis, Ilias;  Gkalinikis, Nikolaos Virtsionis;  Gkiouzelis, Nikolaos;  Vakali, Athena;  Athanasiadis, Christos;  Baslis, Costas<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('14','tp_links')\" style=\"cursor:pointer;\">HeartDIS: A Generalizable End-to-End Energy Disaggregation Pipeline<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Energies, <\/span><span class=\"tp_pub_additional_volume\">vol. 16, <\/span><span class=\"tp_pub_additional_number\">no. 13, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1996-1073<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_14\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('14','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_14\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('14','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_14\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{en16135115,<br \/>\r\ntitle = {HeartDIS: A Generalizable End-to-End Energy Disaggregation Pipeline},<br \/>\r\nauthor = { Ilias Dimitriadis and Nikolaos Virtsionis Gkalinikis and Nikolaos Gkiouzelis and Athena Vakali and Christos Athanasiadis and Costas Baslis},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/1996-1073\/16\/13\/5115},<br \/>\r\ndoi = {10.3390\/en16135115},<br \/>\r\nissn = {1996-1073},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Energies},<br \/>\r\nvolume = {16},<br \/>\r\nnumber = {13},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('14','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_14\" 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\/1996-1073\/16\/13\/5115\" title=\"https:\/\/www.mdpi.com\/1996-1073\/16\/13\/5115\" target=\"_blank\">https:\/\/www.mdpi.com\/1996-1073\/16\/13\/5115<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/en16135115\" title=\"Follow DOI:10.3390\/en16135115\" target=\"_blank\">doi:10.3390\/en16135115<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('14','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Lampridis, Orestis;  Karanatsiou, Dimitra;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('8','tp_links')\" style=\"cursor:pointer;\">MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Computing, <\/span><span class=\"tp_pub_additional_volume\">vol. 104, <\/span><span class=\"tp_pub_additional_number\">no. 4, <\/span><span class=\"tp_pub_additional_pages\">pp. 717-739, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1436-5057<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_8\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('8','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_8\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('8','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_8\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Lampridis2022,<br \/>\r\ntitle = {MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn},<br \/>\r\nauthor = { Orestis Lampridis and Dimitra Karanatsiou and Athena Vakali},<br \/>\r\nurl = {https:\/\/doi.org\/10.1007\/s00607-021-01013-w},<br \/>\r\ndoi = {10.1007\/s00607-021-01013-w},<br \/>\r\nissn = {1436-5057},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-04-01},<br \/>\r\njournal = {Computing},<br \/>\r\nvolume = {104},<br \/>\r\nnumber = {4},<br \/>\r\npages = {717-739},<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('8','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_8\" 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\/s00607-021-01013-w\" title=\"https:\/\/doi.org\/10.1007\/s00607-021-01013-w\" target=\"_blank\">https:\/\/doi.org\/10.1007\/s00607-021-01013-w<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s00607-021-01013-w\" title=\"Follow DOI:10.1007\/s00607-021-01013-w\" target=\"_blank\">doi:10.1007\/s00607-021-01013-w<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('8','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Paraskevas, Athanasios;  Aletras, Dimitrios;  Chrysopoulos, Antonios;  Marinopoulos, Antonios;  Doukas, Dimitrios I.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2','tp_links')\" style=\"cursor:pointer;\">Optimal Management for EV Charging Stations: A Win&amp;ndash;Win Strategy for Different Stakeholders Using Constrained Deep Q-Learning<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Energies, <\/span><span class=\"tp_pub_additional_volume\">vol. 15, <\/span><span class=\"tp_pub_additional_number\">no. 7, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1996-1073<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{en15072323,<br \/>\r\ntitle = {Optimal Management for EV Charging Stations: A Win-Win Strategy for Different Stakeholders Using Constrained Deep Q-Learning},<br \/>\r\nauthor = { Athanasios Paraskevas and Dimitrios Aletras and Antonios Chrysopoulos and Antonios Marinopoulos and Dimitrios I. Doukas},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/1996-1073\/15\/7\/2323},<br \/>\r\ndoi = {10.3390\/en15072323},<br \/>\r\nissn = {1996-1073},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\njournal = {Energies},<br \/>\r\nvolume = {15},<br \/>\r\nnumber = {7},<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('2','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2\" 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\/1996-1073\/15\/7\/2323\" title=\"https:\/\/www.mdpi.com\/1996-1073\/15\/7\/2323\" target=\"_blank\">https:\/\/www.mdpi.com\/1996-1073\/15\/7\/2323<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/en15072323\" title=\"Follow DOI:10.3390\/en15072323\" target=\"_blank\">doi:10.3390\/en15072323<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Athanasiadis, Christos L.;  Tsoumplekas, Georgios;  Chrysopoulos, Antonios;  Doukas, Dimitrios I.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('4','tp_links')\" style=\"cursor:pointer;\">Peak demand forecasting: A comparative analysis of state-of-the-art machine learning techniques<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), <\/span><span class=\"tp_pub_additional_pages\">pp. 1-6, <\/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_4\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('4','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_4\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('4','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_4\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{9941434,<br \/>\r\ntitle = {Peak demand forecasting: A comparative analysis of state-of-the-art machine learning techniques},<br \/>\r\nauthor = { Christos L. Athanasiadis and Georgios Tsoumplekas and Antonios Chrysopoulos and Dimitrios I. Doukas},<br \/>\r\ndoi = {10.1109\/SyNERGYMED55767.2022.9941434},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)},<br \/>\r\npages = {1-6},<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('4','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_4\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/SyNERGYMED55767.2022.9941434\" title=\"Follow DOI:10.1109\/SyNERGYMED55767.2022.9941434\" target=\"_blank\">doi:10.1109\/SyNERGYMED55767.2022.9941434<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('4','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Giakatos, Dimitrios P.;  Kostoglou, Sofia;  Sermpezis, Pavlos;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('9','tp_links')\" style=\"cursor:pointer;\">Benchmarking Graph Neural Networks for Internet Routing Data<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 1st International Workshop on Graph Neural Networking, <\/span><span class=\"tp_pub_additional_pages\">pp. 1\u20136, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 9781450399333<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_9\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3565473.3569187,<br \/>\r\ntitle = {Benchmarking Graph Neural Networks for Internet Routing Data},<br \/>\r\nauthor = { Dimitrios P. Giakatos and Sofia Kostoglou and Pavlos Sermpezis and Athena Vakali},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3565473.3569187},<br \/>\r\ndoi = {10.1145\/3565473.3569187},<br \/>\r\nisbn = {9781450399333},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {Proceedings of the 1st International Workshop on Graph Neural Networking},<br \/>\r\npages = {1\u20136},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\nseries = {GNNet '22},<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('9','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_9\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3565473.3569187\" title=\"https:\/\/doi.org\/10.1145\/3565473.3569187\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3565473.3569187<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3565473.3569187\" title=\"Follow DOI:10.1145\/3565473.3569187\" target=\"_blank\">doi:10.1145\/3565473.3569187<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Nogueira, Mateus;  Bravo, Carlos;  Menasch\u00e9, Daniel;  Spyropoulos, Thrasyvoulos;  Sermpezis, Pavlos<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('10','tp_links')\" style=\"cursor:pointer;\">Can Recommenders Compensate for Low QoS?<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">GLOBECOM 2022 - 2022 IEEE Global Communications Conference, <\/span><span class=\"tp_pub_additional_pages\">pp. 4185-4190, <\/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_10\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('10','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_10\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('10','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_10\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10001416,<br \/>\r\ntitle = {Can Recommenders Compensate for Low QoS?},<br \/>\r\nauthor = { Mateus Nogueira and Carlos Bravo and Daniel Menasch\u00e9 and Thrasyvoulos Spyropoulos and Pavlos Sermpezis},<br \/>\r\ndoi = {10.1109\/GLOBECOM48099.2022.10001416},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {GLOBECOM 2022 - 2022 IEEE Global Communications Conference},<br \/>\r\npages = {4185-4190},<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('10','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_10\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/GLOBECOM48099.2022.10001416\" title=\"Follow DOI:10.1109\/GLOBECOM48099.2022.10001416\" target=\"_blank\">doi:10.1109\/GLOBECOM48099.2022.10001416<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('10','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Poiitis, Marinos;  Sermpezis, Pavlos;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('11','tp_links')\" style=\"cursor:pointer;\">Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2022 IEEE\/WIC\/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), <\/span><span class=\"tp_pub_additional_pages\">pp. 315-320, <\/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_11\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('11','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_11\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('11','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_11\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10102051,<br \/>\r\ntitle = {Pointspectrum: Equivariance Meets Laplacian Filtering for Graph Representation Learning},<br \/>\r\nauthor = { Marinos Poiitis and Pavlos Sermpezis and Athena Vakali},<br \/>\r\ndoi = {10.1109\/WI-IAT55865.2022.00053},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-01},<br \/>\r\nbooktitle = {2022 IEEE\/WIC\/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)},<br \/>\r\npages = {315-320},<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('11','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_11\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/WI-IAT55865.2022.00053\" title=\"Follow DOI:10.1109\/WI-IAT55865.2022.00053\" target=\"_blank\">doi:10.1109\/WI-IAT55865.2022.00053<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('11','tp_links')\">Close<\/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\"> Athanasiadis, Christos;  Doukas, Dimitrios;  Papadopoulos, Theofilos;  Chrysopoulos, Antonios<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1','tp_links')\" style=\"cursor:pointer;\">A Scalable Real-Time Non-Intrusive Load Monitoring System for the Estimation of Household Appliance Power Consumption<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Energies, <\/span><span class=\"tp_pub_additional_volume\">vol. 14, <\/span><span class=\"tp_pub_additional_number\">no. 3, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 1996-1073<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{en14030767,<br \/>\r\ntitle = {A Scalable Real-Time Non-Intrusive Load Monitoring System for the Estimation of Household Appliance Power Consumption},<br \/>\r\nauthor = { Christos Athanasiadis and Dimitrios Doukas and Theofilos Papadopoulos and Antonios Chrysopoulos},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/1996-1073\/14\/3\/767},<br \/>\r\ndoi = {10.3390\/en14030767},<br \/>\r\nissn = {1996-1073},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Energies},<br \/>\r\nvolume = {14},<br \/>\r\nnumber = {3},<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('1','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1\" 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\/1996-1073\/14\/3\/767\" title=\"https:\/\/www.mdpi.com\/1996-1073\/14\/3\/767\" target=\"_blank\">https:\/\/www.mdpi.com\/1996-1073\/14\/3\/767<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/en14030767\" title=\"Follow DOI:10.3390\/en14030767\" target=\"_blank\">doi:10.3390\/en14030767<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Athanasiadis, Christos L.;  Papadopoulos, Theofilos A.;  Doukas, Dimitrios I<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">Real-time non-intrusive load monitoring: A light-weight and scalable approach<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Energy and Buildings, <\/span><span class=\"tp_pub_additional_volume\">vol. 253, <\/span><span class=\"tp_pub_additional_pages\">pp. 111523, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 0378-7788<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{ATHANASIADIS2021111523,<br \/>\r\ntitle = {Real-time non-intrusive load monitoring: A light-weight and scalable approach},<br \/>\r\nauthor = { Christos L. Athanasiadis and Theofilos A. Papadopoulos and Dimitrios I Doukas},<br \/>\r\nurl = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378778821008070},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.enbuild.2021.111523},<br \/>\r\nissn = {0378-7788},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Energy and Buildings},<br \/>\r\nvolume = {253},<br \/>\r\npages = {111523},<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('3','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378778821008070\" title=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378778821008070\" target=\"_blank\">https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378778821008070<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.enbuild.2021.111523\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.enbuild.2021.111523\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.enbuild.2021.111523<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Athanasiadis, Christos L.;  Doukas, Dimitrios I.;  Papadopoulos, Theofilos A.;  Barzegkar-Ntovom, Georgios A.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('5','tp_links')\" style=\"cursor:pointer;\">Real-Time Non-Intrusive Load Monitoring: A Machine-Learning Approach for Home Appliance Identification<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2021 IEEE Madrid PowerTech, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-6, <\/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_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_5\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{9494962,<br \/>\r\ntitle = {Real-Time Non-Intrusive Load Monitoring: A Machine-Learning Approach for Home Appliance Identification},<br \/>\r\nauthor = { Christos L. Athanasiadis and Dimitrios I. Doukas and Theofilos A. Papadopoulos and Georgios A. Barzegkar-Ntovom},<br \/>\r\ndoi = {10.1109\/PowerTech46648.2021.9494962},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\nbooktitle = {2021 IEEE Madrid PowerTech},<br \/>\r\npages = {1-6},<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('5','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_5\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/PowerTech46648.2021.9494962\" title=\"Follow DOI:10.1109\/PowerTech46648.2021.9494962\" target=\"_blank\">doi:10.1109\/PowerTech46648.2021.9494962<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Dimitriadis, Ilias;  Georgiou, Konstantinos;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('7','tp_links')\" style=\"cursor:pointer;\">Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Applied Sciences, <\/span><span class=\"tp_pub_additional_volume\">vol. 11, <\/span><span class=\"tp_pub_additional_number\">no. 21, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2076-3417<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_7\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('7','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_7\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('7','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_7\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{app11219857,<br \/>\r\ntitle = {Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection},<br \/>\r\nauthor = { Ilias Dimitriadis and Konstantinos Georgiou and Athena Vakali},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2076-3417\/11\/21\/9857},<br \/>\r\ndoi = {10.3390\/app11219857},<br \/>\r\nissn = {2076-3417},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-01-01},<br \/>\r\njournal = {Applied Sciences},<br \/>\r\nvolume = {11},<br \/>\r\nnumber = {21},<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('7','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_7\" 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\/11\/21\/9857\" title=\"https:\/\/www.mdpi.com\/2076-3417\/11\/21\/9857\" target=\"_blank\">https:\/\/www.mdpi.com\/2076-3417\/11\/21\/9857<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/app11219857\" title=\"Follow DOI:10.3390\/app11219857\" target=\"_blank\">doi:10.3390\/app11219857<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('7','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Kouvela, Maria;  Dimitriadis, Ilias;  Vakali, Athena<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('6','tp_links')\" style=\"cursor:pointer;\">Bot-Detective: An Explainable Twitter Bot Detection Service with Crowdsourcing Functionalities<\/a> <span class=\"tp_pub_type inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of the 12th International Conference on Management of Digital EcoSystems, <\/span><span class=\"tp_pub_additional_pages\">pp. 55\u201363, <\/span><span class=\"tp_pub_additional_publisher\">Association for Computing Machinery, <\/span><span class=\"tp_pub_additional_address\">Virtual Event, United Arab Emirates, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 9781450381154<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_6\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{10.1145\/3415958.3433075,<br \/>\r\ntitle = {Bot-Detective: An Explainable Twitter Bot Detection Service with Crowdsourcing Functionalities},<br \/>\r\nauthor = { Maria Kouvela and Ilias Dimitriadis and Athena Vakali},<br \/>\r\nurl = {https:\/\/doi.org\/10.1145\/3415958.3433075},<br \/>\r\ndoi = {10.1145\/3415958.3433075},<br \/>\r\nisbn = {9781450381154},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {Proceedings of the 12th International Conference on Management of Digital EcoSystems},<br \/>\r\npages = {55\u201363},<br \/>\r\npublisher = {Association for Computing Machinery},<br \/>\r\naddress = {Virtual Event, United Arab Emirates},<br \/>\r\nseries = {MEDES '20},<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('6','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_6\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1145\/3415958.3433075\" title=\"https:\/\/doi.org\/10.1145\/3415958.3433075\" target=\"_blank\">https:\/\/doi.org\/10.1145\/3415958.3433075<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1145\/3415958.3433075\" title=\"Follow DOI:10.1145\/3415958.3433075\" target=\"_blank\">doi:10.1145\/3415958.3433075<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Publications Check out the project&#8217;s related 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