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Models/MC2SleepNet 50% Masking (C4-A1 only)

MC2SleepNet 50% Masking (C4-A1 only)

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical8 results

  • Sleep QualityonSHHS (single-channel)
    Cohen's Kappa· 2025-02-13
    0.841
    SOTA
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep Stage DetectiononSHHS (single-channel)
    Cohen's Kappa· 2025-02-13
    0.841
    SOTA
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep QualityonSHHS
    Cohen's Kappa· 2025-02-13
    0.841
    best: 0.86 (SynthSleepNet (EEG2+EOG2+EMG1))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep QualityonSHHS
    Macro-F1· 2025-02-13
    0.821
    best: 0.845 (SynthSleepNet (EEG2+EOG2+EMG1))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep QualityonSHHS (single-channel)
    Macro-F1· 2025-02-13
    0.821
    best: 0.823 (MC2SleepNet 15% Masking (C4-A1 only))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep Stage DetectiononSHHS
    Cohen's Kappa· 2025-02-13
    0.841
    best: 0.86 (SynthSleepNet (EEG2+EOG2+EMG1))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep Stage DetectiononSHHS
    Macro-F1· 2025-02-13
    0.821
    best: 0.845 (SynthSleepNet (EEG2+EOG2+EMG1))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470
  • Sleep Stage DetectiononSHHS (single-channel)
    Macro-F1· 2025-02-13
    0.821
    best: 0.823 (MC2SleepNet 15% Masking (C4-A1 only))
    MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage ClassificationarXiv:2502.17470