Abstract: Accurate skin lesion segmentation and classification remain challenging due to inter-class similarity, boundary ambiguity, class imbalance, and domain shifts across datasets. We introduce ...

Abstract: Deep learning is promising in open-world network intrusion detection, but current deep learning-based methods mainly focus on open recognition with properties that may not always hold and ...