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Benchmarks
BCI classification on Lee 2019 (inter-session)
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0.682
Balanced Accuracy
TSMNet(SPDDSMBN)
0.5052
0.5511
0.597
0.6429
Jun 2, 2022
Balanced Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Balanced Accuracy
TSMNet(SPDDSMBN)
UDA=yes, degrees of fr...
2022.06
0.682
FBCSP+DSS+LDA
UDA=yes, degrees of fr...
2022.06
0.668
SPDOT+TSM+SVM
UDA=yes, degrees of fr...
2022.06
0.656
FB+TSM+LR
UDA=no, degrees of fre...
2022.06
0.652
URPA+MDM
UDA=yes, degrees of fr...
2022.06
0.638
FBCSP+SVM
UDA=no, degrees of fre...
2022.06
0.631
TSM+SVM
UDA=no, degrees of fre...
2022.06
0.625
ShConvNet+DANN
UDA=yes, degrees of fr...
2022.06
0.591
ShConvNet
UDA=no, degrees of fre...
2022.06
0.578
EEGNet+DANN
UDA=yes, degrees of fr...
2022.06
0.554
EEGNet
UDA=no, degrees of fre...
2022.06
0.512
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