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1. Improving convolutional neural networks performance for image classification using test time augmentation
Ibrahem Kandel, Mauro Castelli, 2021, original scientific article

Keywords: image classification, convolutional neural networks, transfer learning, test time 29 augmentation, deep learning, ensemble learning
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2. Comparing stacking ensemble techniques to improve musculoskeletal fracture image classification
Ibrahem 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
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3. An experimental evaluation of adversarial examples and methods of defense
Jaka Šircelj, 2019, master's thesis/paper

Keywords: adversarial examples, neural networks, deep learning, image classification
Full text (file, 2,67 MB)

4. Comparative study of first order optimizers for image classification using convolutional neural networks on histopathology images
Ibrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, original scientific article

Keywords: image classification, convolutional neural networks, deep learning, medical images, transfer learning, optimizers, neuroscience
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5. Musculoskeletal images classification for detection of fractures using transfer learning
Ibrahem 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...
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