Abstract: This study proposes a Generative Adversarial Network (GAN)-based data augmentation method to tackle the class imbalance issue in histopathological image classification. The proposed GAN ...
Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
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