{"id":7263,"date":"2021-06-07T11:03:10","date_gmt":"2021-06-07T09:03:10","guid":{"rendered":"https:\/\/kinit.sk\/?p=7263"},"modified":"2021-06-07T11:29:17","modified_gmt":"2021-06-07T09:29:17","slug":"marek-and-matus-successfully-defended-their-phd-theses","status":"publish","type":"post","link":"https:\/\/kinit.sk\/sk\/marek-and-matus-successfully-defended-their-phd-theses\/","title":{"rendered":"Marek a Mat\u00fa\u0161 \u00faspe\u0161ne obh\u00e1jili svoje doktorandsk\u00e9 pr\u00e1ce"},"content":{"rendered":"
\n

N\u00e1\u0161 t\u00edm sa rozr\u00e1stol o dvoch doktorov! Sme radi, \u017ee Marek aj Mat\u00fa\u0161 \u00faspe\u0161ne ukon\u010dili svoje doktorandsk\u00e9 \u0161t\u00fadium. <\/p>\n<\/div>\n\n

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\"\"<\/figure><\/div>\n<\/div>\n\n
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Marek L\u00f3derer<\/a><\/h4>\n<\/div>\n\n
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Pr\u00e1ca sk\u00fama r\u00f4zne sp\u00f4soby tvorby predikt\u00edvnych modelov zalo\u017een\u00fdch na modeli u\u010denia s\u00faborom met\u00f3d (ensemble learning). V\u00fdsledkom je n\u00e1vrh met\u00f3dy predikcie zalo\u017eenej na \u00faprave tohto modelu. Marek realizoval pr\u00edspevok v ka\u017edej z troch z\u00e1kladn\u00fdch krokov ensemble learning pr\u00edstupu  (generovanie, orez\u00e1vanie a integr\u00e1cia). Pri integr\u00e1cii modelov pou\u017eil modifik\u00e1ciu Met\u00f3dy dynamick\u00fdch v\u00e1h, ktor\u00e1 zav\u00e1dza nov\u00fd sp\u00f4sob v\u00e1hovania s aplik\u00e1ciou postupn\u00fdch zmien. D\u00f4le\u017eitou s\u00fa\u010das\u0165ou pr\u00e1ce je aj sk\u00famanie schopnost\u00ed r\u00f4znych biologicky in\u0161pirovan\u00fdch algoritmov zv\u00fd\u0161i\u0165 predik\u010dn\u00fa schopnos\u0165 modelu u\u010denia s\u00faborom met\u00f3d v situ\u00e1ci\u00e1ch, ke\u010f sa v d\u00e1tach objavuj\u00fa nepredv\u00eddate\u013en\u00e9 zmeny (tzv. concept drifts). Navrhnut\u00e1 met\u00f3da predikcie m\u00e1 zlep\u0161en\u00fa schopnos\u0165 reagova\u0165 na tieto neo\u010dak\u00e1van\u00e9 zmeny a dosahuje zv\u00fd\u0161en\u00fa presnos\u0165 pri porovnan\u00ed s be\u017ene pou\u017e\u00edvan\u00fdmi met\u00f3dami. Treba podotkn\u00fa\u0165, \u017ee v dom\u00e9ne energetiky, v ktorej Marek overoval svoju met\u00f3du, znamen\u00e1 aj mal\u00e9 zv\u00fd\u0161enie presnosti predikcie ve\u013ek\u00e9 \u00faspory.  V\u00fdsledky pr\u00e1ce maj\u00fa \u0161ir\u0161ie vyu\u017eitie pre rie\u0161enie zlo\u017eit\u00fdch predik\u010dn\u00fdch \u00faloh na \u010dasov\u00fdch radoch pri v\u00fdskyte r\u00f4znych typov konceptov\u00e9ho driftu.<\/p>\n<\/div>\n\n

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Marek je \u010dlenom n\u00e1\u0161ho Data Analytics for Green Energy<\/a> t\u00edmu.<\/p>\n<\/div>\n\n

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\"\"<\/figure>\n<\/div>\n\n
\n

Mat\u00fa\u0161 Pikuliak<\/a><\/h4>\n<\/div>\n\n
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Pr\u00e1ca sa zaober\u00e1 t\u00e9mou u\u010denia s prenosom (transfer learning) v oblasti spracovania prirodzen\u00e9ho jazyka, ktor\u00e9 adresuje probl\u00e9m nedostatku dostupn\u00fdch d\u00e1t pri strojovom u\u010den\u00ed s vyu\u017eit\u00edm neur\u00f3nov\u00fdch modelov. Hlavnou ideou je vyu\u017eitie d\u00e1t, ktor\u00e9 m\u00e1me k dispoz\u00edcii z in\u00fdch jazykov alebo in\u00fdch \u00faloh spracovania jazyka, na natr\u00e9novanie modelov, pre ktor\u00e9 d\u00e1ta ch\u00fdbaj\u00fa. Napr. pomocou prenosu \u201cznalost\u00ed\u201d z anglick\u00e9ho modelu pre anal\u00fdzu sentimentu dok\u00e1\u017eeme vytvori\u0165 model pre detekciu nen\u00e1vistn\u00e9ho prejavu v sloven\u010dine. Mat\u00fa\u0161 v pr\u00e1ci priniesol nieko\u013eko poznatkov. V r\u00e1mci realizovanej \u0161t\u00fadie formalizoval u\u010denie s prenosom medzi jazykmi a identifikoval hlavn\u00e9 paradigmy prenosu, tzn. mechanizmy \u010di princ\u00edpy, ako m\u00f4\u017ee k prenosu pri u\u010den\u00ed doch\u00e1dza\u0165. V r\u00e1mci svojich experimentov objavil tzv. prep\u00e1jacie modely, ktor\u00e9 v r\u00e1mci u\u010denia prin\u00e1\u0161aj\u00fa regulariza\u010dn\u00fd efekt – pom\u00e1haj\u00fa zlep\u0161i\u0165 celkov\u00fa \u00faspe\u0161nos\u0165 rie\u0161enia \u00falohy. V\u00fdsledky dizerta\u010dnej pr\u00e1ce maj\u00fa ve\u013ek\u00fd potenci\u00e1l v praxi najm\u00e4 pre m\u00e1lo roz\u0161\u00edren\u00e9 jazyky, ak\u00fdm je napr. aj sloven\u010dina, kde ch\u00fdba dostatok dostupn\u00fdch jazykov\u00fdch zdrojov na u\u010denie.<\/p>\n<\/div>\n\n

\n

Mat\u00fa\u0161 je \u010dlenom n\u00e1\u0161ho Natural Language Processing<\/a> t\u00edmu.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

N\u00e1\u0161 t\u00edm sa rozr\u00e1stol o dvoch doktorov! Sme radi, \u017ee Marek aj Mat\u00fa\u0161 \u00faspe\u0161ne ukon\u010dili svoje doktorandsk\u00e9 \u0161t\u00fadium. Marek L\u00f3derer Pr\u00e1ca sk\u00fama r\u00f4zne sp\u00f4soby tvorby predikt\u00edvnych modelov zalo\u017een\u00fdch na modeli…<\/p>\n","protected":false},"author":4,"featured_media":7259,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[82,83],"tags":[116],"class_list":["post-7263","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2021-sk","category-news-sk","tag-phd-sk"],"acf":[],"yoast_head":"\nMarek a Mat\u00fa\u0161 \u00faspe\u0161ne obh\u00e1jili svoje doktorandsk\u00e9 pr\u00e1ce - 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\/marek-and-matus-successfully-defended-their-phd-theses\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Marek a Mat\u00fa\u0161 \u00faspe\u0161ne obh\u00e1jili svoje doktorandsk\u00e9 pr\u00e1ce - KInIT\" \/>\n<meta property=\"og:description\" content=\"N\u00e1\u0161 t\u00edm sa rozr\u00e1stol o dvoch doktorov! 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