151. Human-centered deep compositional model for handling occlusionsGregor Koporec, Janez Perš, 2023, izvirni znanstveni članek Ključne besede: computer vision, deep learning, convolutional neural networks, hierarchical compositional model, occlusion, discriminability, generalizability, interpretability, domain knowledge, instance segmentation, occlusion handling Celotno besedilo (datoteka, 2,69 MB) Gradivo ima več datotek! Več... |
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157. Search for type-II seesaw mechanism processes with same charge leptons in the final states with the ATLAS detectorBlaž Leban, 2023, doktorska disertacija Ključne besede: ATLAS, CERN, LHC Run 2, left-right symmetry, type-II seesaw, Zee-Babu model, machine learning, boosted decision trees, neural networks, same-charge leptons, doubly charged Higgs, lepton flavour violation Celotno besedilo (datoteka, 9,17 MB) |
158. Style transfer of Aartworks using neural networksENIO KURBEGOVIĆ, 2023, diplomsko delo Ključne besede: artificial intelligence, neural networks, neural style transfer, meta networks, image transformation networks, content images, style images Celotno besedilo (datoteka, 16,90 MB) |
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160. Static and dynamic fMRI-derived functional connectomes represent largely similar informationAndraž Matkovič, Alan Anticevic, John D. Murray, Grega Repovš, 2023, izvirni znanstveni članek Ključne besede: functional connectivity, autoregressive model, dynamic functional connectivity, brain-behavior associations, measurement, brain, functional magnetic resonance imaging fMRI, neurosciences, neural networks Celotno besedilo (datoteka, 7,22 MB) Gradivo ima več datotek! Več... |