Generative diffusion meets domain adaptation: a framework for EEG cross-subject motor imagery classification
{{output}}
Cross-subject motor imagery classification remains challenging due to EEG data scarcity and inter-subject variability. This study proposes a novel framework integrating generative data augmentation with domain adaptation. First, we employ a diffusion probabili... ...
