1. Improving convolutional neural networks performance for image classification using test time augmentationIbrahem Kandel, Mauro Castelli, 2021, original scientific article Keywords: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning
Full text (file, 1,82 MB) This document has more files! More... |
2. Comparing stacking ensemble techniques to improve musculoskeletal fracture image classificationIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2021, original scientific article Keywords: neuroscience, deep learning, image classification, stacking, ensemble learning, convolutional neural networks, transfer learning, medical images
Full text (file, 1,12 MB) This document has more files! More... |
3. Do learning activities improve studentsʼ ability to construct explanatory models with a prism foil problem?Mihael Gojkošek, Josip Sliško, Gorazd Planinšič, 2013, original scientific article Keywords: fizika, knowledge, learning, naravoslovje, naravoslovna vzgoja in izobraževanje, prizmatična folija, science education, transfer znanja, učitelj, učne metode, znanje
Full text (outside link) |
4. Risk stratification of patients for development of cardiac diseases using knowledge transferAleš Papič, 2019, master's thesis/paper Keywords: risk stratification, cardiovascular diseases, machine learning, knowledge transfer, semi-supervised learning, active learning, fuzzy learning, supervised clustering, partially labeled examples
Full text (file, 876,83 KB) |
5. Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology imagesIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, original scientific article Keywords: image classification, convolutional neural networks, deep learning, medical images, transfer learning, optimizers, neuroscience
Full text (file, 573,18 KB) This document has more files! More... |
6. Summarization of web commentsKatarina Milačić, 2020, master's thesis/paper 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) |
7. Preference elicitation with argument-based machine learningJure Grabnar, 2020, master's thesis/paper Keywords: knowledge acquisition, preference elicitation, argument-based machine learning, convolutional neural networks, weakly supervised object localization, transfer learning, online dating
Full text (file, 21,57 MB) |
8. Musculoskeletal images classification for detection of fractures using transfer learningIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, original scientific article Keywords: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, medical images, neuroscience
Full text (file, 550,23 KB) This document has more files! More... |
|
10. Cross-lingual word embeddings for knowledge transfer in less-represented languagesTadej Škvorc, 2022, doctoral dissertation Keywords: natural language processing, deep learning, neural networks, machine learning, text embeddings, knowledge transfer, idiom detection, conference scheduling, multilingual embeddings, contextual embeddings
Full text (file, 1,21 MB) |
