{"id":11007,"date":"2021-10-18T11:50:29","date_gmt":"2021-10-18T09:50:29","guid":{"rendered":"https:\/\/kinit.sk\/?post_type=member&#038;p=11007"},"modified":"2026-10-24T10:12:38","modified_gmt":"2026-10-24T08:12:38","slug":"matej-kloska","status":"publish","type":"member","link":"https:\/\/kinit.sk\/sk\/clen\/matej-kloska\/","title":{"rendered":"Matej Kloska"},"content":{"rendered":"<div id=\"\" class=\"element core-paragraph\">\n<p>Matej is a research engineer focused on anomaly detection using a statistical approach emphasizing model explainability and human-in-the-loop. His expertise spans across fraud detection and multiple projects in the energy domain, with a long-term interest in developing environmentally friendly solutions for the future.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Matej holds a master\u2019s in Intelligent Software Systems from the Faculty of Informatics and Information Technologies STU. After graduating, he worked in two international companies where he applied his knowledge in data engineering and further strengthened his industry knowledge of data engineering management. In 2023, he defended his PhD thesis in knowledge-based anomaly detection.<\/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-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-41259\" 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\/payouts-embedded-finance-market-with-built-in-fraudnet-security-service\/\">\t\t\t\t\t\t\t\t\t\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\/2026\/04\/FraudNet_Feature-Img-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>Payout&#8217;s Embedded Finance Market with built-in FraudNet security service<\/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\tapr 14. 2026\t\t\t\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 Payout Embedded Finance Market (EFM) is an innovative fintech solution that helps SMEs cut financial management costs by up to 50% while unlocking new revenue opportunities. By automating transactions,&#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-22315\" 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\/sfera-data-analysis-and-modelling-for-micgrogrid-support\/\">\t\t\t\t\t\t\t\t\t\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_web_project_innovatrics_feature_sfera_microgrid-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>SF\u00c9RA: Data analysis and modelling for microgrid support<\/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\tdec 7. 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\">KInIT develops a microgrid model, which allows the simulation of power flow in microgrids with various elements, such as consumers, renewable energy sources&nbsp; (RES), batteries and their various configurations. This&#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-13638\" 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\/towards-symbolic-time-series-representation-improved-by-kernel-density-estimators\/\">\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>Towards Symbolic Time Series Representation Improved by Kernel Density Estimators<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t  <!--<div class=\"authors\"><strong>Autori:<\/strong> Kloska, M., Rozinajova, V.<\/div>-->\n                          <div class=\"authors\">Kloska, M., Rozinajova, V. &#8211; Transactions on Large-Scale Data- and Knowledge-Centered Systems, <span class=\"published-date\">1 January 2022<\/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., Rozinajova, V. This paper deals with symbolic time series representation. It builds up on the popular mapping technique Symbolic Aggregate approXimation algorithm (SAX), which is extensively utilized in&#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\/978-3-662-64553-6_2\" 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-7861\" 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\/distribution-wise-symbolic-aggregate-approximation-dwsax\/\">\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>Distribution-Wise Symbolic Aggregate ApproXimation (dwSAX)<\/h3>\n                        \t\t\t\t\t\t\t\t\t\t\t\t  <!--<div class=\"authors\"><strong>Autori:<\/strong> Kloska, M., Rozinajova, V.<\/div>-->\n                          <div class=\"authors\">Kloska, M., Rozinajova, V. &#8211; Intelligent Data Engineering and Automated Learning \u2013 IDEAL, <span class=\"published-date\">27 October 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\">Kloska, M., Rozinajova, V. The Symbolic Aggregate approXimation algorithm (SAX) is one of the most popular symbolic mapping techniques for time series. It is extensively utilized in sequence classification, pattern&#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\/978-3-030-62362-3_27\" 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","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[81],"class_list":["post-11007","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>Matej Kloska - 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\/matej-kloska\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Matej Kloska - KInIT\" \/>\n<meta property=\"og:description\" content=\"Matej is a research engineer focused on anomaly detection using a statistical approach emphasizing model explainability and human-in-the-loop. 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