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View all- Ali BSarhan NAlawad M(2024)On the Robustness of Compressed Models with Class ImbalanceComputers10.3390/computers1311029713:11(297)Online publication date: 16-Nov-2024
Deep Neural Networks (DNN) have recently received great attention due to their superior performance in many machining-learning problems. However, the use of DNN is still impeded, if the input data is imbalanced. Imbalanced classification refers to ...
With the rapid development of Deep Learning, deep predictive models have been widely applied to improve Software Engineering tasks, such as defect prediction and issue classification, and have achieved remarkable success. They are mostly trained in a ...
Adversarial training has been proven to be one of the most effective techniques to defend against adversarial examples. The majority of existing adversarial training methods assume that every class in the training data is equally distributed. However, in ...
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