MMQ-Net combines masked modality queries, category queries, and interference queries in one transformer and reports 90 to 99 percent accuracy on emotion classification under missing physiological data.
IEEE Transactions on Consumer Electronics (2025) 10 G
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Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
MMQ-Net combines masked modality queries, category queries, and interference queries in one transformer and reports 90 to 99 percent accuracy on emotion classification under missing physiological data.