2 papers
cs.LG2026
A swap-adversarial framework for improving domain generalization in electrocorticography-based Parkinson's disease classification
Seongwon Jin, Hanseul Choi, Sunggu Yang +2
We propose a novel swap-adversarial framework that mitigates high inter-subject variability and the high-dimensional low-sample-size problem in electrocorticography (ECoG) data. It…
cs.LG2026
CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
Hanseul Choi, Jinyeong Park, Seongwon Jin +2
Electroencephalography (EEG) foundation models have shown promise for learning generalizable representations, yet they remain sensitive to channel heterogeneity, such as changes in…