271. Teaching literature at universities and the Bologna declarationIvo Pospíšil, 2008 Ključne besede: književnost, teaching of literature, didactic of literature, literary didactic, university didactic, university, universities, Bologna Declaration, masters and bachelors courses, philology, philological studies, area studies programmes, e-learning, e-encyclopedias, e-dictionaries, encyclopedias, dictionaries, internet, Czech Republic, Brno
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272. Exploring digitalization in different industry sectorsLucija Barić, Karla Bogdanović, 2023, magistrsko delo Ključne besede: informatics, information technology, digitalization, artificial intelligence, machine learning, cloud computing, industries, enterprises, cases, comparisons
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273. MobiproxMatevž Fabjančič, Octavian-Mihai Machidon, Hashim Sharif, Yifan Zhao, Saša Misailović, Veljko Pejović, 2024, izvirni znanstveni članek Ključne besede: approximate computing, context-awareness, mobile deep learning, ubiquitous computing
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274. Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in SloveniaCenk Sezen, Mojca Šraj, 2024, izvirni znanstveni članek Ključne besede: conceptual model with snow module, hourly data, hybrid modelling, karst, Ljubljanica river catchment, machine learning
Celotno besedilo (datoteka, 5,02 MB) Gradivo ima več datotek! Več... |
275. CLUSPLUSMatej Petković, Jurica Levatić, Dragi Kocev, Martin Breskvar, Sašo Džeroski, 2023, izvirni znanstveni članek Ključne besede: machine learning, multi-target regression, multi-label classification, decision trees, feature importance, semi-supervised learning, random forests
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277. Components of adolescents' attraction with YouTubersAna Sedmak, Matija Svetina, 2024, izvirni znanstveni članek Ključne besede: adolescents, YouTube, identification, parasocial relationships, social media, social learning, YouTubers, social models
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280. Stakeholder analysis as tool for organisational learning in social servicesNataša Rupčić, Matej Babšek, 2024, izvirni znanstveni članek Ključne besede: stakeholder analysis, social capital, organisational learning, public sector, social services, Slovenia
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