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134. Approaches to blockmodeling dynamic networksMarjan Cugmas, Aleš Žiberna, 2023, izvirni znanstveni članek Ključne besede: dynamic networks, stochastic blockmodeling, k-means blockmodeling, simulations, local mechanisms, evaluation Celotno besedilo (datoteka, 4,78 MB) Gradivo ima več datotek! Več... |
135. Cross-lingual word embeddings for knowledge transfer in less-represented languagesTadej Škvorc, 2022, doktorska disertacija Ključne besede: natural language processing, deep learning, neural networks, machine learning, text embeddings, knowledge transfer, idiom detection, conference scheduling, multilingual embeddings, contextual embeddings Celotno besedilo (datoteka, 1,21 MB) |
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137. Predicting Bitcoin’s volatilityJan Pristovnik, 2022, magistrsko delo/naloga Ključne besede: volatility, forecasting, time series, cryptocurrency, time-series analysis, machine learning, recurrent neural networks, LSTM Celotno besedilo (datoteka, 10,26 MB) |
138. 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 Celotno besedilo (datoteka, 2,23 MB) Gradivo ima več datotek! Več... |
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140. Quantifying complex influences of chemical composition and soaking conditions for increasing the hot workability of M2 high-speed steel by using the alternative approachIztok Peruš, Heinz Palkowski, Goran Kugler, Milan Terčelj, 2020, izvirni znanstveni članek Ključne besede: M2 HSS, hot workability, hot compression, hot torsion, chemical compositions, Latin Hypercube Sampling, neural networks Celotno besedilo (datoteka, 3,05 MB) Gradivo ima več datotek! Več... |