Unsupervised discriminator-guided fine-tuning of a pretrained u-sleep model improves Cohen's kappa by 0.03-0.29 on artificially degraded sleep signals but falls short of supervised optima and yields insignificant gains on real domain mismatches.
Resting-state EEG recorded with gel-based vs. consumer dry electrodes: spectral characteristics and across-device correlations
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Unsupervised domain transfer: Overcoming signal degradation in sleep monitoring by increasing scoring realism
Unsupervised discriminator-guided fine-tuning of a pretrained u-sleep model improves Cohen's kappa by 0.03-0.29 on artificially degraded sleep signals but falls short of supervised optima and yields insignificant gains on real domain mismatches.