61. Reconstructing superquadrics from intensity and color imagesDarian Tomašević, Peter Peer, Franc Solina, Aleš Jaklič, Vitomir Štruc, 2022, izvirni znanstveni članek Ključne besede: superquadrics, reconstruction, color images, deep learning, convolutional neural networks Celotno besedilo (datoteka, 17,96 MB) Gradivo ima več datotek! Več... |
62. Training artificial neural networks using substructuring techniquesJure Korbar, Domen Ocepek, Gregor Čepon, Miha Boltežar, 2023, izvirni znanstveni članek Ključne besede: joint identification, dynamic substructuring, frequency-based substructuring, artificial neural networks, physics-based computational model Celotno besedilo (datoteka, 1,75 MB) Gradivo ima več datotek! Več... |
63. An improved MSCNN and GRU model for rolling bearing fault diagnosisTeng Wang, Youfu Tang, Tao Wang, Na Lei, 2023, izvirni znanstveni članek Ključne besede: SENet, multiscale convolutional neural networks, gate recurrent unit, rolling bearings, fault diagnosis Celotno besedilo (datoteka, 3,30 MB) Gradivo ima več datotek! Več... |
64. 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) |
65. Development of in silico classification models for binding affinity to the glucocorticoid receptorMark Stanojević, Marjan Vračko, Marija Sollner Dolenc, 2023, izvirni znanstveni članek Ključne besede: endocrine disruptions, binding to glucocorticoid receptor, in silico classification, counterpropagation artificial neural networks, DRAGON descriptors Celotno besedilo (datoteka, 2,95 MB) Gradivo ima več datotek! Več... |
66. 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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70. 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) |