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... |
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4. Representing visual entities with deep hierarchical and compositional modelsDomen Tabernik, 2021, doctoral dissertation Keywords: compositional hierarchies, histogram of compositions, displaced aggregation units, deep neural networks, visual image recognition, semantic image segmentation, de-blurring Full text (file, 10,00 MB) |
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10. 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... |