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2. Recovery of superquadric parameters from depth images using deep learningTim Oblak, 2020, master's thesis Keywords: superquadrics, parametric models, reconstruction, 3D, deep learning, convolutional neural networks, CNN, parameter recovery Full text (file, 8,69 MB) |
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4. Summarization of web commentsKatarina Milačić, 2020, master's thesis Keywords: word embeddings, cross-lingual embeddings, low-resource languages, abstractive summarization, extractive summarization, deep neural networks, language models, transfer learning Full text (file, 1,02 MB) |
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7. Deep learning in neuroimaging data analysisLev Kiar Avberšek, Grega Repovš, 2022, original scientific article Keywords: artificial intelligence, machine learning, deep learning, neuroimaging, neuroscience, data analysis, computational models, cognitive processes, learning, neural networks Full text (file, 2,23 MB) This document has more files! More... |
8. A global modeling framework for load forecasting in distribution networksMiha Grabner, Yi Wang, Qingsong Wen, Boštjan Blažič, Vitomir Štruc, 2023, original scientific article Keywords: load forecasting, distribution networks, predictive models, smart meter, global model, deep learning Full text (file, 2,89 MB) This document has more files! More... |
9. Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, 2024, original scientific article Keywords: 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 Full text (file, 4,29 MB) This document has more files! More... |