Adaptive Margin Aware Complement-Cross Entropy Loss for Improving Class Imbalance in Multi-View Sleep Staging Based on EEG Signals
Sleep data are typically characterized by class imbalance, which can cause the model to be overly biased toward frequent classes, resulting in low accuracy of minority class classification. However, the minority class of sleep staging has important value in diagnosing certain disorders, such as an N...
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| Main Authors: | , , |
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| Format: | Book |
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IEEE,
2022-01-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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