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Article
Neural network with absent minority class samples and boundary shifting for imbalanced data classification
Neural networks handling data imbalance heavily rely on resampling or reweighting strategies. However, existing resampling and reweighting approaches mainly focus on rebalancing known data, which ignore the es...
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Chapter and Conference Paper
U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs
Sleep disorders can seriously affect human health. Most of the previous studies focused on sleep disorders of apnea, but few on non-apnea. This type of sleep disorder is complex and difficult to detect by trad...