Lee
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| BCI classification | Lee 2019 (inter-subject) | Balanced Accuracy74.6 | 11 | |
| BCI classification | Lee 2019 (inter-session) | Balanced Accuracy0.682 | 11 | |
| Dimensional Aspect Sentiment Triplet Extraction | Lee 2026 (test) | cF165.18 | 8 | |
| Dimensional Aspect Sentiment Triplet Extraction | Lee 2026 (dev) | cF176.68 | 8 | |
| MI | Lee Subject 2019 | Accuracy76.27 | 7 | |
| MI | Lee2019 Session | Accuracy78.89 | 7 | |
| SSVEP | Lee Subject 2019 | Accuracy87.53 | 7 | |
| SSVEP | Lee Session 2019 | Accuracy95.5 | 7 | |
| Continuous Treatment Effect Estimation | Lee | RMSE0.08 | 6 |
Showing 9 of 9 rows