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2. 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) |
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4. 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) |
5. Detecting temporal and spatial anomalies in users' activities for security provisioning in computer networksAleks Huč, 2022, doktorska disertacija Ključne besede: anomaly detection, incremental learning, unsupervised learning, clustering, adaptive windowing, profiling, network security, network flows
Celotno besedilo (datoteka, 4,42 MB) |
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7. Methods of network embeddings and their applicationsIlya Makarov, 2021, doktorska disertacija Ključne besede: graph embeddings, information fusion, node classification, link prediction, node clustering, community detection, graph visualization, network science
Celotno besedilo (datoteka, 47,57 MB) |
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9. Approximate multipliers for energy-efficient computingRatko Pilipović, 2021, doktorska disertacija Ključne besede: Approximate computing, Arithmetic circuit design, Booth encoding, Logarithmic multipliers, Multipliers, Power-efficient processing, Truncated multipliers
Celotno besedilo (datoteka, 11,05 MB) |
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