Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels. which hinder the classification performance in rapid serial visual presentation (RSVP) tasks. Previous approaches primarily relied on supervised learning (SL). which may result in overfitting and reduced generalization performance. https://www.knowall.blog/