21. Detecting surface anomalies with deep learningDomen Rački, 2022, doctoral dissertation Keywords: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Full text (file, 11,17 MB) |
22. Characterization of biocomposites and glass fiber epoxy composites based on acoustic emission signals, deep feature extraction, and machine learningTomaž Kek, Primož Potočnik, Martin Misson, Zoran Bergant, Mario Sorgente, Edvard Govekar, Roman Šturm, 2022, original scientific article Keywords: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks Full text (file, 1,45 MB) This document has more files! More... |
23. Cross-lingual word embeddings for knowledge transfer in less-represented languagesTadej Škvorc, 2022, doctoral dissertation Keywords: natural language processing, deep learning, neural networks, machine learning, text embeddings, knowledge transfer, idiom detection, conference scheduling, multilingual embeddings, contextual embeddings Full text (file, 1,21 MB) |
24. Deep learning in neuroimaging data analysisLev Kiar Avberšek, Grega Repovš, 2022, original scientific article Keywords: artificial intelligence, machine learning, deep learning, neuroimaging, neuroscience, data analysis, computational models, cognitive processes, learning, neural networks Full text (file, 2,23 MB) This document has more files! More... |
25. Reconstructing superquadrics from intensity and color imagesDarian Tomašević, Peter Peer, Franc Solina, Aleš Jaklič, Vitomir Štruc, 2022, original scientific article Keywords: superquadrics, reconstruction, color images, deep learning, convolutional neural networks Full text (file, 17,96 MB) This document has more files! More... |
26. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, original scientific article Keywords: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Full text (file, 2,69 MB) This document has more files! More... |
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