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.
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