{"id":5589,"date":"2021-02-16T18:56:00","date_gmt":"2021-02-16T17:56:00","guid":{"rendered":"https:\/\/kinit.sk\/member\/gabriela-grmanova\/"},"modified":"2026-10-05T09:08:12","modified_gmt":"2026-10-05T07:08:12","slug":"gabriela-grmanova","status":"publish","type":"member","link":"https:\/\/kinit.sk\/sk\/clen\/gabriela-grmanova\/","title":{"rendered":"Gabriela Grmanov\u00e1"},"content":{"rendered":"<div id=\"\" class=\"element core-paragraph\">\n<p>Gabriela Grmanov\u00e1 is a researcher focusing on artificial intelligence, machine learning, time series prediction, and optimization. Her work is centered on practical applications of AI in the energy domain, including energy production and consumption forecasting, microgrid optimization, anomaly detection, and data analysis of energy markets.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>In 2006, she completed a six-month internship at the University of Natural Resources and Life Sciences in Vienna. She was a member of the Big Data Analysis group at the Slovak University of Technology in Bratislava and has participated in several national and international research and industry projects, including collaborations with sf\u00e9ra and Atos.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>At KInIT, Gabriela is actively involved in research and innovation activities connecting artificial intelligence with industrial applications. She coordinates the V4Grid project at the KInIT site, supporting regional cooperation and innovation in smart energy systems and AI-driven solutions. She is also engaged in the Hopero initiative and leads KInIT\u2019s strategic cooperation with ZSE, focusing on the application of AI and data analytics in the energy sector. In addition, she contributes to multiple industrial collaborations and interdisciplinary projects aimed at transferring advanced AI research into real-world practice.<\/p>\n<\/div>\n\n<div id=\"projects\" class=\"element acf-loop\"><section id=\"projects\" class=\"loop old \" style=\"background-color: #ebf7f9;\" >\n\t<div class=\"wrapper-out\">\n\t\t<div class=\"wrapper-in\">\n\t\t\t<div class=\"in cf\">\n\t\t\t\t<div class=\"element-inner\">\n\t\t\t\t\t<div class=\"headline\"><h2>Selected Projects<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"loop-wrap loop-Project loop-style1 loop-load_more loop-4 cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-22358\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/projekt\/zse-ai-for-smart-energy-households\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2024\/01\/202401_projects_features_update_ZSE-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>ZSE: AI for Smart Energy Households<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tj\u00fan 16. 2021\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">ZSE and KInIT have started a research collaboration focused on disaggregation of customer consumption by identification of individual appliances&#8216; profiles. Statistical and artificial intelligence methods will be used for processing&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-21013\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/projekt\/hopero-ai-european-digital-innovation-hub\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2022\/09\/202210_web_project_EDIH-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Hopero.AI: European Digital Innovation Hub<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tsep 26. 2022\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">The Slovak AI European Digital Innovation Hub is a nation-wide ecosystem with a clear focus on artificial intelligence aiming to support the digital transformation of Slovak companies in the European&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-32128\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/projekt\/v4grid-the-visegrad-group-for-vehicle-to-x\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"picture\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"320\" height=\"200\" data-src=\"https:\/\/kinit.sk\/wp-content\/uploads\/2024\/05\/202405_V4_project_feature-320x200.png\" class=\"attachment-thumbnail size-thumbnail wp-post-image lazyload\" alt=\"\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 320px; --smush-placeholder-aspect-ratio: 320\/200;\" \/>\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>V4Grid: The Visegrad group for Vehicle to X<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"date\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tj\u00fan 3. 2024\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">In Central Europe, the V4Grid project is pioneering a new era in sustainable energy solutions by harnessing the power of electric vehicles (EVs) through Vehicle-to-Everything (V2X) services powered by AI&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n<\/div>\n\n\n\n<div id=\"featured-publications\" class=\"element acf-loop background-columns-blue\"><section id=\"featured-publications\" class=\"loop old  background-columns-blue\"  >\n\t<div class=\"wrapper-out\">\n\t\t<div class=\"wrapper-in\">\n\t\t\t<div class=\"in cf\">\n\t\t\t\t<div class=\"element-inner\">\n\t\t\t\t\t<div class=\"headline\"><h2>Selected Publications<\/h2><\/div>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"loop-wrap loop-Publication loop-style1 loop-static loop-4 cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-28615\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/publikacia\/expert-enhanced-dynamic-time-warping-based-anomaly-detection\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Expert Enhanced Dynamic Time Warping Based Anomaly Detection<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t  <!--<div class=\"authors\"><strong>Autori:<\/strong> Kloska, M., Grmanova, G., Rozinajova, V.<\/div>-->\n                          <div class=\"authors\">Kloska, M., Grmanova, G., Rozinajova, V. &#8211; Expert Systems with Applications, <span class=\"published-date\">19 April 2023<\/span><span class=\"published-year\"><\/span><\/div>                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Kloska, M., Grmanova G., Rozinajova, V. Dynamic time warping (DTW) is a well-known algorithm for time series elastic dissimilarity measure. Its ability to deal with non-linear time distortions makes it&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0957417423005328?via%3Dihub\" class=\"download-file\">Stiahnu\u0165<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-8048\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/publikacia\/intelligent-analysis-of-data-streams\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Intelligent Analysis of Data Streams<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t  <!--<div class=\"authors\"><strong>Autori:<\/strong> Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M. <\/div>-->\n                          <div class=\"authors\">Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M.  &#8211; Towards Digital Intelligence Society: A Knowledge-based Approach, <span class=\"published-date\">2020<\/span><span class=\"published-year\"><\/span><\/div>                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"excerpt\">Rozinajova, V., Bou Ezzeddine, A., Grmanova, G., Vrablecova, P., Pomffyova, M.1 1 Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Bratislava, Slovakia The huge amount of&#8230;<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-63872-6_5\" class=\"download-file\">Stiahnu\u0165<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n<\/div>\n\n<div id=\"\" class=\"element acf-loop padding-top-0\"><section class=\"loop old  padding-top-0\"  >\n\t<div class=\"wrapper-out\">\n\t\t<div class=\"wrapper-in\">\n\t\t\t<div class=\"in cf\">\n\t\t\t\t<div class=\"element-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"loop-wrap loop-Publication loop-style2 loop-load_more loop-6 cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-8040\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/doi.org\/10.1007\/978-3-030-53956-6_3\" target=\"_blank\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Prediction of Photovoltaic Power Using Nature-Inspired Computing<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Sumega, M., Bou Ezzeddine, A., Grmanova, G., Rozinajova, V. &#8211; Advances in Swarm Intelligence. ISCI 2020.<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007%2F978-3-030-53956-6_3.pdf\" class=\"download-file\">Stiahnu\u0165<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-15319\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/kinit.sk\/sk\/publikacia\/automatic-query-refining-based-on-eye-tracking-feedback\/\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Automatic Query Refining Based on Eye-Tracking Feedback<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Martonova, A., Marcin, J., Navrat, P., Tvarozek, J., Grmanova, G. &#8211; Computing and Information<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/www.cai.sk\/ojs\/index.php\/cai\/article\/view\/2019_6_1341\/1024\" class=\"download-file\">Stiahnu\u0165<\/a>\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-8056\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"http:\/\/doi.org\/10.3233\/HIS-160228\" target=\"_blank\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Using Biologically Inspired Computing to Effectively Improve Prediction Models<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Bou Ezzeddine, A., Loderer, M., Laurinec, P., Vrablecova, P., Rozinajova, V., Lucka, M., Lacko, P., Grmanova, G. &#8211; International Journal of Hybrid Intelligent Systems, 2016<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-8053\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/doi.org\/10.1007\/978-3-319-27400-3_21\" target=\"_blank\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Grmanova, G., Rozinajova, V., Bou Ezzeddine, A., Lucka, M., Lacko, P., Loderer, M., Vrablecova, P., Laurinec, P. &#8211; Advances in Nature and Biologically Inspired Computing (AISC), 2016<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-8054\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/doi.org\/10.12700\/APH.13.2.2016.2.6\" target=\"_blank\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Incremental Ensemble Learning for Electricity Load Forecasting<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Grmanova, G., Laurinec, P., Rozinajova V., Bou Ezzeddine, A., Lucka, M., Lacko, P., Vrablecova, P., Navrat, P. &#8211; Acta Polytechnica Hungarica, 2016<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<article id=\"loop-item-7918\" class=\"loop-item\">\n\t\t\t\t\t\t\t\t\t<div class=\"inner cf\">\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/doi.org\/10.1016\/j.neunet.2004.08.003\" target=\"_blank\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"content cf\">\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"content-inner\">\n\t\t\t\t\t\t\t\t\t\t\t\t<h3>Making Sense of Sparse Rating Data in Collaborative Filtering via Topographic Organization of User Preference Patterns<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t<div class=\"meta cf\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t                                              \t\t\t\t<div class=\"excerpt\">Polcicova (Grmanova), G., Tino, P. &#8211; Neural Networks. 2004<\/div>\n                    \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/a>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/article>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/scholar.google.com\/citations?user=9_ZJoe0AAAAJ&#038;hl=en&#038;authuser=1\" target=\"_blank\" class=\"button purple all\">All publications: see google scholar profile<\/a>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h2 class=\"wp-block-heading\" id=\"selected-student-supervising\">Selected Student Supervising<\/h2>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\"><strong>Master<\/strong><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-list\">\n<ul class=\"wp-block-list\"><div id=\"\" class=\"element core-list-item\">\n<li>Ogur\u010d\u00e1k Vladim\u00edr &#8211; Prediction of electricity consumption. Defended 2016<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Marco\u0148\u00e1k Matej &#8211; Activity recognition using mobile sensors. Defended 2015<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Rab\u010dan Juraj &#8211; Creating visual codebooks. Defended 2015 (<a href=\"http:\/\/www.jatit.org\/volumes\/Vol83No1\/2Vol83No1.pdf\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">publication<\/a>)<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Kompas \u0160imon &#8211; Methods of DNA assembly. Defended 2015<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Ky\u017e\u0148ansk\u00fd Michal &#8211; Use of biologically inspired approaches in clustering. Defended 2014<\/li>\n<\/div><\/ul>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\"><strong>Bachelor<\/strong><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-list\">\n<ul class=\"wp-block-list\"><div id=\"\" class=\"element core-list-item\">\n<li>Hroncov\u00e1 Nikoleta &#8211; Clustering of cytometry data. Defended 2020<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>Nemec Radoslav &#8211; Image segmentation using clustering. Defended 2014<\/li>\n<\/div>\n\n<div id=\"\" class=\"element core-list-item\">\n<li>\u0160imek Juraj &#8211; Generating DNA sequences. Defended 2014 (IT Spy)<\/li>\n<\/div><\/ul>\n<\/div>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[81],"class_list":["post-5589","member","type-member","status-publish","hentry","category-data-analytics-for-green-energy-sk"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Gabriela Grmanov\u00e1 - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/clen\/gabriela-grmanova\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gabriela Grmanov\u00e1 - KInIT\" \/>\n<meta property=\"og:description\" content=\"Gabriela Grmanov\u00e1 is a researcher focusing on artificial intelligence, machine learning, time series prediction, and optimization. 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