71. 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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75. 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... |
76. 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) |
77. Forecasting electricity pricesMauro Castelli, Aleš Groznik, Aleš Popovič, 2020, izvirni znanstveni članek Ključne besede: energetics, price, informatics, energy sector, electricity prices, forecasting, machine learning, geometric semantic, based programming Celotno besedilo (datoteka, 2,00 MB) Gradivo ima več datotek! Več... |
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80. 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) |