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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... |