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Sleep Stage Classification on ISRUC-S3 multivariate

79.8AccuracyMSA-CNN (small)
68.15271.17674.277.224Aug 6, 2025

Evaluation results

MethodLinks
MSA-CNN (small)# Parameters=10,583, MFLOPs=19.82025.0879.876.873.2
MSA-CNN (small)# Parameters=10,583, MFLOPs=19.82025.0879.876.873.2
PRISM (small)# Parameters=3,817, MFLOPs=8.32025.0878.174.871.1
PRISM (small)# Parameters=3,817, MFLOPs=8.32025.0878.174.871.1
MSTGCN# Parameters=476,292, MFLOPs=204.02025.0877.273.569.7
MSTGCN# Parameters=476,292, MFLOPs=204.02025.0877.273.569.7
EEGNet# Parameters=12,181, MFLOPs=32.82025.0875.971.968.2
JK-STGCN# Parameters=458,085, MFLOPs=208.62025.0875.97268.1
EEGNet# Parameters=12,181, MFLOPs=32.82025.0875.971.968.2
JK-STGCN# Parameters=458,085, MFLOPs=208.62025.0875.97268.1
cVAN# Parameters=6,834,571, MFLOPs=483.42025.0872.567.763.7
cVAN# Parameters=6,834,571, MFLOPs=483.42025.0872.567.763.7
HierCorrPool# Parameters=13,290,000, MFLOPs=499.02025.0872.167.863.1
HierCorrPool# Parameters=13,290,000, MFLOPs=499.02025.0872.167.863.1
GraphSleepNet2025.0869.866.760.3
GraphSleepNet2025.0869.866.760.3
FC-STGNN# Parameters=3,200,000, MFLOPs=475.82025.0868.664.658.5
FC-STGNN# Parameters=3,200,000, MFLOPs=475.82025.0868.664.658.5