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12. To BAN or not to BANKristian Miok, Blaž Škrlj, Daniela Zaharie, Marko Robnik Šikonja, 2022, izvirni znanstveni članek Ključne besede: natural language processing, machine learning, transformer neural networks, Bayesian neural networks, BERT models, prediction uncertainty, reliability estimation, Monte Carlo dropout, Bayesian BERT, sentic computing, model calibration Celotno besedilo (datoteka, 3,06 MB) Gradivo ima več datotek! Več... |
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14. 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... |
15. 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) |
16. IPADMatej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc, 2023, izvirni znanstveni članek Ključne besede: biometrics, sclera segmentation, ocular biometrics, ocular segmentation, model pruning, lightweight deep learning Celotno besedilo (datoteka, 4,52 MB) Gradivo ima več datotek! Več... |
17. A global modeling framework for load forecasting in distribution networksMiha Grabner, Yi Wang, Qingsong Wen, Boštjan Blažič, Vitomir Štruc, 2023, izvirni znanstveni članek Ključne besede: load forecasting, distribution networks, predictive models, smart meter, global model, deep learning Celotno besedilo (datoteka, 2,89 MB) Gradivo ima več datotek! Več... |
18. Hourly rainfall-runoff modelling by combining the conceptual model with machine learning models in mostly karst Ljubljanica River catchment in SloveniaCenk Sezen, Mojca Šraj, 2024, izvirni znanstveni članek Ključne besede: conceptual model with snow module, hourly data, hybrid modelling, karst, Ljubljanica river catchment, machine learning Celotno besedilo (datoteka, 5,02 MB) Gradivo ima več datotek! Več... |
19. Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning modelsCenk Sezen, Mojca Šraj, 2024, izvirni znanstveni članek Ključne besede: conceptual model, hybrid modelling, machine learning, karst catchment, Ljubljanica River, snow Celotno besedilo (datoteka, 21,06 MB) Gradivo ima več datotek! Več... |
20. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, izvirni znanstveni članek Ključne besede: magnetic resonance imaging, brain age prediction, image preprocessing, deep model regression, comparative study, quantitative evaluation, brain age, MRI preprocessing, deep regression models, linear mixed effect models, dataset bias, transfer learning, reproducible research, UK Biobank Celotno besedilo (datoteka, 4,29 MB) Gradivo ima več datotek! Več... |