A new machine learning framework using reduced-channel EEG and variational mode decomposition achieves 92.16% accuracy in ...
A data-centric framework that prioritizes clinical training observations using aggregated feature-level SHAP values improved classification performance across multiple benchmark datasets but increased ...
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