Abstract: Drawing insights from Large Language Models, researchers have developed several large-scale Electroencephalogram (EEG) models (LEMs) to learn a generalized representation adaptable to ...

Abstract: A common challenge when applying transfer learning to specific domains is imbalanced datasets, where some classes have significantly fewer samples than others. This can skew the model's ...