Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition
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DOI: 10.1109/tcsii.2022.3163141
Abstract: Recently, electroencephalogram (EEG)-based emotion recognition has attracted increasing interests in research community. The weak, non-stationary, multi-rhythm and multi-channel properties of EEG data easily cause the extracted EEG samples and features contribute differently in recognizing emotional… read more here.
Keywords: feature importance; importance; feature; sample feature ... See more keywords