31. 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, original scientific article Keywords: valves, district heating, acoustic features, feature selection, classification, machine learning Full text (file, 1,76 MB) This document has more files! More... |
32. Preference elicitation with argument-based machine learningJure Grabnar, 2020, master's thesis Keywords: knowledge acquisition, preference elicitation, argument-based machine learning, convolutional neural networks, weakly supervised object localization, transfer learning, online dating Full text (file, 21,57 MB) |
33. Machine-learning-based multi-step heat demand forecasting in a district heating systemPrimož Potočnik, Primož Škerl, Edvard Govekar, 2021, original scientific article Keywords: district heating, heat demand, short-term forecasting, machine learning, Gaussian process regression Full text (file, 1,98 MB) This document has more files! More... |
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37. Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's diseaseMevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Žabkar, Martin Možina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm, 2015, original scientific article Keywords: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Full text (file, 708,49 KB) This document has more files! More... |
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40. 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) |