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.
A comprehensive review of deep learning models for denoising EEG signals: challenges, advances, and future directions
2 Pith papers cite this work. Polarity classification is still indexing.
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Fractional Verkle Trees decompose global state into N sub-accumulators with a coordinating Merkle tree, yielding faster root recomputation, lower memory use, and parallel insertion in blockchain state accumulators.
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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.
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Fractional Verkle Trees: A Hypertree Decomposition and Verified Proof Serialization Architecture for High-Performance Blockchain State Accumulators
Fractional Verkle Trees decompose global state into N sub-accumulators with a coordinating Merkle tree, yielding faster root recomputation, lower memory use, and parallel insertion in blockchain state accumulators.