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, objavljeni znanstveni prispevek na konferenci Ključne besede: 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 Celotno besedilo (povezava drugam) |
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, izvirni znanstveni članek Ključne besede: algorithm, biochemical composition, data assimilation, data mining, image analysis, machine learning, numerical model, protein, visualization Celotno besedilo (datoteka, 1,35 MB) Gradivo ima več datotek! Več... |
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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, izvirni znanstveni članek Ključne besede: predictive models, neural networks, ARX model, extreme learning machines, residential buildings, indoor temperature Celotno besedilo (datoteka, 1,91 MB) Gradivo ima več datotek! Več... |
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7. Cross-lingual embeddings for hate speech detection in commentsRok Marinšek, 2019, magistrsko delo/naloga Ključne besede: word embedding, cross-lingual embedding, deep learning, hate speech detection, natural language processing, RCSLS method, BERT language model Celotno besedilo (datoteka, 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, izvirni znanstveni članek Ključne besede: light propagation model, Monte Carlo simulations, absorption, subdiffusive spatially resolved reflectance, optical fiber probe, deep neural networks, deep learning Celotno besedilo (datoteka, 3,68 MB) Gradivo ima več datotek! Več... |
10. Probing the flavor structure of New Physics models with precision observablesAleks Smolkovič, 2021, doktorska disertacija Ključne besede: beyond the Standard Model, flavor physics, CP violation, optimized observables, dark matter, leptoquark, machine learning in particle physics Celotno besedilo (datoteka, 9,40 MB) |