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, 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... |
32. 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) |
33. 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... |
|
|
|
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, izvirni znanstveni članek Ključne besede: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Celotno besedilo (datoteka, 708,49 KB) Gradivo ima več datotek! Več... |
|
|
40. 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) |