Abstract: We address universal self-supervised representation learning for time series under label scarcity and distribution shifts. A key challenge is that prevalent encode-then-decompose pipelines ...
Abstract: This study introduces FocalCA, a Hybrid Convolutional-Attention Encoder model for detecting CyberAttacks using the UNSW-NB15 dataset. Despite the inherent imbalance in the binary ...
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