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Seongwon Jin

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#artificial intelligence Preprint Feb 2026

A swap-adversarial framework for domain generalization in pre- and post-stimulation Parkinsonian state classification

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 achieves robust domain generalization across ECoG and electroencephalography (EEG)-based brain-computer interface datasets. Our framework i...

Seongwon Jin, Hanseul Choi, Sung-Gu Yang et al. · 0 citations

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