1. Improving convolutional neural networks performance for image classification using test time augmentationIbrahem Kandel, Mauro Castelli, 2021, izvirni znanstveni članek Ključne besede: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning Celotno besedilo (datoteka, 1,82 MB) Gradivo ima več datotek! Več... |
2. Comparing stacking ensemble techniques to improve musculoskeletal fracture image classificationIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2021, izvirni znanstveni članek Ključne besede: neuroscience, deep learning, image classification, stacking, ensemble learning, convolutional neural networks, transfer learning, medical images Celotno besedilo (datoteka, 1,12 MB) Gradivo ima več datotek! Več... |
3. Transfer and unsupervised learningLuka Gradišar, Matevž Dolenc, 2023, izvirni znanstveni članek Ključne besede: clustering, crack detection, data mining, image analysis, transfer learning, unsupervised learning Celotno besedilo (datoteka, 4,25 MB) Gradivo ima več datotek! Več... |
4. Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology imagesIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, izvirni znanstveni članek Ključne besede: image classification, convolutional neural networks, deep learning, medical images, transfer learning, optimizers, neuroscience Celotno besedilo (datoteka, 573,18 KB) Gradivo ima več datotek! Več... |
5. Musculoskeletal images classification for detection of fractures using transfer learningIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, izvirni znanstveni članek Ključne besede: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, medical images, neuroscience Celotno besedilo (datoteka, 550,23 KB) Gradivo ima več datotek! Več... |
6. Style transfer of Aartworks using neural networksENIO KURBEGOVIĆ, 2023, diplomsko delo Ključne besede: artificial intelligence, neural networks, neural style transfer, meta networks, image transformation networks, content images, style images Celotno besedilo (datoteka, 16,90 MB) |
7. 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... |