Abstract: Constructing emotion recognition models based on electroencephalogram (EEG) signals is crucial for implementing practical brain-computer interface applications. However, EEG signals are ...
Abstract: In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features. To ...
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