91. Brain Tumor Segmentation on MRI BraTS Data using convolutional neural networks: experimental study and comparisonIrena Dragičević, 2023, magistrsko delo Ključne besede: master's theses, radiologic technology, convolutional neural networks, U-Net, BraTS, glioma segmentation, multimodal segmentation, medical image segmentation, machine learning Celotno besedilo (datoteka, 4,11 MB) |
92. A systematic literature review on under-frequency load shedding protection using clustering methodsTadej Škrjanc, Rafael Mihalič, Urban Rudež, 2023, pregledni znanstveni članek Ključne besede: literature review, under-frequency load shedding, t-distributed stochastic neighbour embedding, principal component analysis, machine learning, clustering, power system protection, power system stability, blackouts, power system resilience Celotno besedilo (datoteka, 20,47 MB) Gradivo ima več datotek! Več... |
93. Enhancing food composition databasesMarko Možina, 2023, diplomsko delo Ključne besede: food composition database, nutrient values, missing data, graph machine learning, knowledge graph embeddings, data exploration, missing value imputation, ampligraph Celotno besedilo (datoteka, 991,71 KB) |
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97. Multi-task learning in programmatic advertisingDOMEN VREŠ, 2023, magistrsko delo Ključne besede: artificial intelligence, machine learning, multi-task learning, real-time bidding, viewability prediction, click-through rate prediction, conversion rate prediction, deep & cross network, cross-stitch layer, soft attention, uncertainty based loss weighing Celotno besedilo (datoteka, 1,39 MB) |
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100. A hybrid modeling strategy for training data generation in machine learning-based structural health monitoringTim Vrtač, Domen Ocepek, Martin Česnik, Gregor Čepon, Miha Boltežar, 2024, izvirni znanstveni članek Ključne besede: structural health monitoring, joint-damage identification, Frequency Based Substructuring, machine learning, training set generation Celotno besedilo (datoteka, 3,53 MB) Gradivo ima več datotek! Več... |