A CWGAN with weight clipping is trained on a small ALS EEG dataset to generate synthetic minority-class samples, but the paper provides no quantitative validation of signal fidelity or augmentation benefit.
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Synthetic ALS-EEG Data Augmentation for ALS Diagnosis Using Conditional WGAN with Weight Clipping
A CWGAN with weight clipping is trained on a small ALS EEG dataset to generate synthetic minority-class samples, but the paper provides no quantitative validation of signal fidelity or augmentation benefit.