1. General Purpose Optimization Library (GPOL)Illya Bakurov, Marco Buzzelli, Mauro Castelli, Leonardo Vanneschi, Raimondo Schettini, 2021, original scientific article Keywords: optimization, evolutionary computation, swarm intelligence, local search, continuous
optimization, combinatorial optimization, inductive programming, supervised machine learning Full text (file, 659,19 KB) This document has more files! More... |
2. Semi-supervised vibration-based classification and condition monitoring of compressorsPrimož Potočnik, Edvard Govekar, 2017, original scientific article Keywords: condition monitoring, reciprocating compressors, classification, semi-supervised, neural networks, extreme learning machines Full text (file, 4,67 MB) This document has more files! More... |
3. Risk stratification of patients for development of cardiac diseases using knowledge transferAleš Papič, 2019, master's thesis/paper Keywords: risk stratification, cardiovascular diseases, machine learning, knowledge transfer, semi-supervised learning, active learning, fuzzy learning, supervised clustering, partially labeled examples Full text (file, 876,83 KB) |
4. 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) |
5. Hidden Markov model-based smart annotation for benchmark cyclic activity recognition database using wearablesChristine F. Martindale, Sebastijan Šprager, Björn M. Eskofier, 2019, original scientific article Keywords: activity recognition, benchmark database, gait analysis, inertial measurement unit, gait phases, cyclic activities, home monitoring, smart annotation, semi-supervised learning Full text (file, 1,80 MB) This document has more files! More... |
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8. CLUSPLUSMatej Petković, Jurica Levatić, Dragi Kocev, Martin Breskvar, Sašo Džeroski, 2023, original scientific article Keywords: machine learning, multi-target regression, multi-label classification, decision trees, feature importance, semi-supervised learning, random forests Full text (file, 563,19 KB) This document has more files! More... |