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24. Risk stratification of patients for development of cardiac diseases using knowledge transferAleš Papič, 2019, magistrsko delo/naloga Ključne besede: risk stratification, cardiovascular diseases, machine learning, knowledge transfer, semi-supervised learning, active learning, fuzzy learning, supervised clustering, partially labeled examples Celotno besedilo (datoteka, 876,83 KB) |
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27. Incremental matrix factorization for simultaneous learning from parallel data streamsMartin Jakomin, 2019, doktorsko delo/naloga Ključne besede: machine learning, matrix factorization, data streams, data fusion, incremental learning, recommender systems, synthetic data generator Celotno besedilo (datoteka, 2,91 MB) |
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29. Advanced PV performance modelling based on different levels of irradiance data accuracyJulián Andrés Ascencio Vásquez, Jakob Bevc, Kristjan Reba, Kristijan Brecl, Marko Jankovec, Marko Topič, 2020, izvirni znanstveni članek Ključne besede: PV performance modelling, data filtering, PV systems, machine learning, lightGBM Celotno besedilo (datoteka, 5,05 MB) Gradivo ima več datotek! Več... |
30. Analysis of command and control connections using machine learning algorithmsJAKOB PREMRN, 2020, magistrsko delo/naloga Ključne besede: machine learning, imbalanced dataset, command and control, C2, C&C, Zeek, Random forest, Decision tree Celotno besedilo (datoteka, 4,92 MB) |