Abstract: As a prominent research topic, multi-view multi-label classification (MvMlC) aims to assign multiple labels to samples by integrating information from various perspectives. However, in ...
Abstract: Recently, the topic of multi-view multi-label classification has aroused significant attention from scholars. Plenty of methods adopt an average weighting scheme to merge the features ...
A novel wavelet-based architecture for physiological signal processing that leverages adaptive multi-scale decomposition and frequency-guided masking to advance self-supervised learning ...
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