Heejo Kong

A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization Through Proximity-to-Boundary Scoring.

A novel training framework that enhances the generalization ability of the model by reducing the influence of noisy samples during training, without additional hyperparameter optimizations is proposed, which improved the generalization ability of the model across two motor imagery datasets and one sleep stage dataset.