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33. Search for type-III seesaw heavy leptons with the ATLAS detector at the LHCTadej Novak, 2020, doktorska disertacija Ključne besede: seesaw mechanism, type-III seesaw, fermion triplet, machine learning, boosted decision trees, neural networks, ATLAS, CERN, LHC Run 2, dilepton, two jets, missing transverse energy Celotno besedilo (datoteka, 6,47 MB) |
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35. Condition classification of heating systems valves based on acoustic features and machine learningPrimož Potočnik, Borja Olmos Lopez-Roso, Lučka Vodopivec, Egon Susič, Edvard Govekar, 2020, izvirni znanstveni članek Ključne besede: valves, district heating, acoustic features, feature selection, classification, machine learning Celotno besedilo (datoteka, 1,76 MB) Gradivo ima več datotek! Več... |
36. Preference elicitation with argument-based machine learningJure Grabnar, 2020, magistrsko delo Ključne besede: knowledge acquisition, preference elicitation, argument-based machine learning, convolutional neural networks, weakly supervised object localization, transfer learning, online dating Celotno besedilo (datoteka, 21,57 MB) |
37. Machine-learning-based multi-step heat demand forecasting in a district heating systemPrimož Potočnik, Primož Škerl, Edvard Govekar, 2021, izvirni znanstveni članek Ključne besede: district heating, heat demand, short-term forecasting, machine learning, Gaussian process regression Celotno besedilo (datoteka, 1,98 MB) Gradivo ima več datotek! Več... |
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