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Found 2 papers, 1 papers with code
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
A distinctive aspect of this study is the adaptation of GradCam for sleep staging, marking the first instance of an explainable DL model in this domain with alignment of its decision-making with sleep expert's insights.
mulEEG: A Multi-View Representation Learning on EEG Signals
Our method attempts to effectively utilize the complementary information available in multiple views to learn better representations.
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