NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

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Benchmark Model Rank Results
sleep-stage-detection-on-shhsNeuroNet (C4-A1 only)#6Accuracy: 86.88%Macro-F1: 0.812
sleep-stage-detection-on-shhs-single-channelNeuroNet (C4-A1 only)#5Accuracy: 86.88%Macro-F1: 0.812
sleep-stage-detection-on-sleep-edfxNeuroNet (Fpz-Cz only)#1Accuracy: 85.24%Macro-F1: 0.798
sleep-stage-detection-on-sleep-edfx-singleNeuroNet (Fpz-Cz only)#1Accuracy: 85.24%Macro-F1: 0.798

Rank counts only results with a code link.