| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| BNCI2014001, Weibo2014, BNCI2014002 Average | PAT | Benign Accuracy71.04 | 42 | 1mo ago | |
| BNCI2014002 | PAT | Benign Accuracy80.88 | 42 | 1mo ago | |
| Weibo 2014 | PAT | Benign Accuracy64.94 | 42 | 1mo ago | |
| BNCI 2014001 | PAT | Benign Accuracy69.59 | 42 | 1mo ago | |
| Mental Arithmetic | SCOPE | AUPRC64.64 | 32 | 3mo ago | |
| SEED | SCOPE | AUPRC74.25 | 32 | 3mo ago | |
| ISRUC | SCOPE | Kappa63.46 | 32 | 3mo ago | |
| Workload | NeuroWeaver | Balanced Accuracy73.91 | 31 | 20d ago | |
| CHB-MIT | CBraMod-MTDP 25% | B-ACC80.13 | 30 | 2mo ago | |
| TUEV (test) | CBraMod | Balanced Accuracy66.71 | 24 | 21d ago | |
| BCIC 3 2020 | SpecMoE | Balanced Accuracy62.62 | 20 | 2mo ago | |
| TUH Abnormal EEG Corpus (test) | Chrononet | Accuracy86.57 | 19 | 2mo ago | |
| MentalArithmetic | CBraMod-MTDP | Balanced Accuracy77.43 | 18 | 27d ago | |
| BCIC IV-2A (test) | EEG-CSANet | Accuracy88.54 | 18 | 1mo ago | |
| ERN (test) | LAtte | AUC81.7 | 17 | 2mo ago | |
| SSVEP (test) | LAtte | Accuracy73.75 | 17 | 2mo ago | |
| MI (test) | MAtt | Accuracy74.71 | 17 | 2mo ago | |
| Emotiv Crowdsourced | EEGM2 | Accuracy94.51 | 16 | 1mo ago | |
| Mumtaz 2016 | CBraMod-MTDP | Balanced Accuracy95.85 | 13 | 2mo ago | |
| FACED | CBraMod-MTDP | Binary Accuracy56.95 | 13 | 2mo ago | |
| HMC | KAST-BAR-Large | Balanced Accuracy73.9 | 12 | 20d ago | |
| SEED | KAST-BAR-Large | B-Acc74.3 | 12 | 20d ago | |
| TUEV | KAST-BAR-Large | Balanced Accuracy70.8 | 12 | 20d ago | |
| TUSL | CSBrain | Balanced Accuracy85.7 | 12 | 20d ago | |
| Shin 2018 | DSAINet | Accuracy84.81 | 12 | 1mo ago |
