Milmer reports 96.72% four-class accuracy on DEAP by fusing facial frames selected via multiple instance learning with EEG tokens in a transformer, but the evaluation protocol is not fully described.
Fetcheeg: a hybrid approach combining feature extraction and temporal-channel joint attention for eeg-based emotion classification,
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Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition
Milmer reports 96.72% four-class accuracy on DEAP by fusing facial frames selected via multiple instance learning with EEG tokens in a transformer, but the evaluation protocol is not fully described.