BCI classification on Hinss2021 (inter-session)
56.43Balanced Accuracy(1.5)-LCM
Evaluation Results
| Method | Links | |
|---|---|---|
| (1.5)-LCMBackbone=SPDDSMBN, Classifier=SPD MLR2023.05 | 56.43 | |
| (1)-LCMBackbone=SPDDSMBN, Classifier=SPD MLR2023.05 | 55.71 | |
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=29, classes=32022.06 | 54.7 | |
| LogEig MLRBackbone=SPDDSMBN2023.05 | 53.83 | |
| Gyro-AIMBackbone=SPDDSMBN2023.05 | 53.36 | |
| (1,0)-LEMBackbone=SPDDSMBN, Classifier=SPD MLR2023.05 | 53.16 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=29, classes=32022.06 | 51.5 | |
| URPA+MDMUDA=yes, degrees of freedom=29, classes=32022.06 | 51.4 | |
| EEGNet+DANNUDA=yes, degrees of freedom=29, classes=32022.06 | 49.4 | |
| ShConvNetUDA=no, degrees of freedom=29, classes=32022.06 | 48.9 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=29, classes=32022.06 | 47.1 | |
| EEGNetUDA=no, degrees of freedom=29, classes=32022.06 | 46.3 | |
| FBCSP+SVMUDA=no, degrees of freedom=29, classes=32022.06 | 43.7 | |
| SPDOT-TSM+SVMUDA=yes, degrees of freedom=29, classes=32022.06 | 42 | |
| FB+TSM+LRUDA=no, degrees of freedom=29, classes=32022.06 | 40.8 | |
| TSM+SVMUDA=no, degrees of freedom=29, classes=32022.06 | 36.8 |