BCI classification on Lee 2019 (inter-subject)
74.6Balanced AccuracyTSMNet(SPDDSMBN)
Evaluation Results
| Method | Links | |
|---|---|---|
| TSMNet(SPDDSMBN)UDA=yes, degrees of freedom=53, classes=22022.06 | 74.6 | |
| EEGNetUDA=no, degrees of freedom=53, classes=22022.06 | 69.6 | |
| EEGNet+DANNUDA=yes, degrees of freedom=53, classes=22022.06 | 69.4 | |
| FBCSP+DSS+LDAUDA=yes, degrees of freedom=53, classes=22022.06 | 68.7 | |
| FB+TSM+LRUDA=no, degrees of freedom=53, classes=22022.06 | 68.5 | |
| ShConvNetUDA=no, degrees of freedom=53, classes=22022.06 | 68.5 | |
| URPA+MDMUDA=yes, degrees of freedom=53, classes=22022.06 | 66.7 | |
| ShConvNet+DANNUDA=yes, degrees of freedom=53, classes=22022.06 | 66 | |
| SPDOT+TSM+SVMUDA=yes, degrees of freedom=53, classes=22022.06 | 65.4 | |
| TSM+SVMUDA=no, degrees of freedom=53, classes=22022.06 | 65.3 | |
| FBCSP+SVMUDA=no, degrees of freedom=53, classes=22022.06 | 63.4 |