201. Predicting Bitcoin’s volatilityJan Pristovnik, 2022, magistrsko delo Ključne besede: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM
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204. Deep learning in neuroimaging data analysisLev Kiar Avberšek, Grega Repovš, 2022, izvirni znanstveni članek Ključne besede: artificial intelligence, machine learning, deep learning, neuroimaging, neuroscience, data analysis, computational models, cognitive processes, learning, neural networks
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206. Slovenščina kjerkoli in kadarkoliTjaša Alič, Tanja Jerman, 2022, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Ključne besede: slovenščina, slovenščina kot drugi jezik, učenje slovenščine, spletni tečaj, Slovene Learning Online, Slonline
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207. Examining pre-service teachers regulation in distance and traditional preschool design and technology educationBrina Kurent, Stanislav Avsec, 2023, izvirni znanstveni članek Ključne besede: self-directed learning, design and technology education, preschool education, distance education, traditional education, pre-service preschool teachers
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208. Learning and diffusion of knowledge in clean energy communitiesPrimož Medved, Urša Golob, Tanja Kamin, 2023, izvirni znanstveni članek Ključne besede: clean energy community, learning settings, diffusion of knowledge, energy transition, transactional learning theory, multi-level perspective, niche innovation, renewable energy
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209. Deep shape features for predicting future intracranial aneurysm growthŽiga Bizjak, Franjo Pernuš, Žiga Špiclin, 2021, izvirni znanstveni članek Ključne besede: intracranial aneurysm, growth prediction, vascular disease, deep learning, classification, morphological features
Celotno besedilo (datoteka, 1,23 MB) Gradivo ima več datotek! Več... |
210. Promoting STEM education of future chemistry teachers with an engineering approach involving single-board computersMiha Ambrož, Johannes Pernaa, Outi Haatainen, Maija Aksela, 2023, izvirni znanstveni članek Ključne besede: trends in education, STEM education, engineering approach, single-board computers, inquiry learning, project-based learning, personalized learning environment, chemistry teacher education, digital transformation
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