1. Spruce bark beetles (Ips typographus, Pityogenes chalcographus, Col.: Scolytidae) in the Dinaric mountain forests of SloveniaMaja Jurc, Marko Perko, Sašo Džeroski, Damjan Demšar, Boris Hrašovec, 2006, published scientific conference contribution Keywords: žuželke, navadna jelka, Slovenija, monitoring, Spruce bark beetles, Ips typographus, Pityogenes chalcographus, Norwey spruce, monitoring, phenology, catastrophic weather conditons, position, linear regression, machine learning, model trees Full text (outside link) |
2. Democratized image analytics by visual programming through integration of deep models and small-scale machine learningPrimož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar Žagar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman, Wang Hamilton, Riccardo Bellazzi, Uroš Petrovič, Silvia Garagna, Maurizio Zuccotti, Dongsu Park, Gad Shaulsky, Blaž Zupan, 2019, original scientific article Keywords: algorithm, biochemical composition, data assimilation, data mining, image analysis, machine learning, numerical model, protein, visualization Full text (file, 1,35 MB) This document has more files! More... |
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4. Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildingsPrimož Potočnik, Boris Vidrih, Andrej Kitanovski, Edvard Govekar, 2019, original scientific article Keywords: predictive models, neural networks, ARX model, extreme learning machines, residential buildings, indoor temperature Full text (file, 1,91 MB) This document has more files! More... |
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7. Cross-lingual embeddings for hate speech detection in commentsRok Marinšek, 2019, master's thesis/paper Keywords: word embedding, cross-lingual embedding, deep learning, hate speech detection, natural language processing, RCSLS method, BERT language model Full text (file, 648,50 KB) |
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9. Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural networkYevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen, 2020, original scientific article Keywords: light propagation model, Monte Carlo simulations, absorption, subdiffusive spatially resolved reflectance, optical fiber probe, deep neural networks, deep learning Full text (file, 3,68 MB) This document has more files! More... |
10. Probing the flavor structure of New Physics models with precision observablesAleks Smolkovič, 2021, doctoral dissertation Keywords: beyond the Standard Model, flavor physics, CP violation, optimized observables, dark matter, leptoquark, machine learning in particle physics Full text (file, 9,40 MB) |