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, izvirni znanstveni članek Ključne besede: reconstruction, instance segmentation, electron microscopy, mitochondria, Golgi apparatus, fusiform vesicles, urothelium, deep learning, intracellular compartments Celotno besedilo (datoteka, 4,21 MB) Gradivo ima več datotek! Več... |
32. Detecting surface anomalies with deep learningDomen Rački, 2022, doktorska disertacija Ključne besede: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Celotno besedilo (datoteka, 11,17 MB) |
33. DHF-NetChenquan Gan, Yucheng Yang, Qingyi Zhu, Deepak Kumar Jain, Vitomir Štruc, 2022, izvirni znanstveni članek Ključne besede: emotion recognition, text processing, NLP, deep learning, dialogue emotion recognition, contextual information, fine-grained information, hierarchical feature, interactive fusion Celotno besedilo (datoteka, 1,10 MB) Gradivo ima več datotek! Več... |
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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, izvirni znanstveni članek Ključne besede: polymer composites, biocomposites, GFE composites, acoustic emission, deep feature extraction, convolutional autoencoder, machine learning, neural networks Celotno besedilo (datoteka, 1,45 MB) Gradivo ima več datotek! Več... |
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38. Cross-lingual word embeddings for knowledge transfer in less-represented languagesTadej Škvorc, 2022, doktorska disertacija Ključne besede: natural language processing, deep learning, neural networks, machine learning, text embeddings, knowledge transfer, idiom detection, conference scheduling, multilingual embeddings, contextual embeddings Celotno besedilo (datoteka, 1,21 MB) |
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