1. 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... |
2. 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) |
3. 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... |
4. Mapping livestock grazing in semi‑natural areas in the European Union and United KingdomŽiga Malek, Katharina Schulze, Hedwig Bartl, Wim Keja, Jan-Erik Petersen, Koen F. Tieskens, Gwyn Jones, Peter H. Verburg, 2024, original scientific article Keywords: semi-natural areas, livestock grazing, machine learning, land use and land cover Full text (file, 2,34 MB) This document has more files! More... |
5. 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... |
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7. A novel FuseDecode Autoencoder for industrial visual inspectionNejc Kozamernik, Drago Bračun, 2025, original scientific article Keywords: automated visual inspection, deep learning, anomaly detection, unsupervised learning, semi-supervised learning, mixed supervision learning, reconstruction-based anomaly detection Full text (file, 16,57 MB) This document has more files! More... |