31. Automatic segmentation and reconstruction of intracellular compartments in volumetric electron microscopy dataManca Žerovnik Mekuč, Ciril Bohak, Eva Boneš, Samo Hudoklin, Rok Romih, Matija Marolt, 2022, original scientific article Keywords: reconstruction, instance segmentation, electron microscopy, mitochondria, Golgi apparatus, fusiform vesicles, urothelium, deep learning, intracellular compartments Full text (file, 4,21 MB) This document has more files! More... |
32. 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) |
33. DHF-NetChenquan Gan, Yucheng Yang, Qingyi Zhu, Deepak Kumar Jain, Vitomir Štruc, 2022, original scientific article Keywords: emotion recognition, text processing, NLP, deep learning, dialogue emotion recognition, contextual information, fine-grained information, hierarchical feature, interactive fusion Full text (file, 1,10 MB) This document has more files! More... |
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35. 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... |
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38. 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) |
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