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Found 3 papers, 1 papers with code
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
The classification of sleep stages plays a crucial role in understanding and diagnosing sleep pathophysiology.
Neural circuits for dynamics-based segmentation of time series
In particular, the segmentation accuracy is similar to that obtained from oracle-like methods in which the ground-truth parameters of the autoregressive models are known.
Importance Weighting with a Adversarial Network for Large-Scale Sleep Staging
The proposed method leverages transferable and discriminable knowledge from the training set to the test set.
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