TUAB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary classification of normal versus abnormal EEG signals | TUAB | Balanced Accuracy85.1 | 113 | |
| Abnormality Detection | TUAB | Balanced Accuracy83.2 | 27 | |
| Brain Decoding | TUAB | Balanced Accuracy81.76 | 23 | |
| Abnormal EEG detection | TUAB (test) | AUROC91.5 | 13 | |
| Regression | TUAB | MAE6.97 | 10 | |
| Normal/abnormal classification | TUAB (official) | AUROC90.22 | 8 | |
| Retrieval | TUAB | Pathological Retrieval Score81.82 | 8 | |
| Abnormal signal detection | TUAB subset of 50,000 samples (val) | Balanced Accuracy81.72 | 7 | |
| classification | TUAB | Balanced Accuracy81.72 | 7 | |
| Abnormality Detection | TUAB (test) | Balanced Accuracy82.49 | 6 | |
| EEG Generation | TUAB | TS-FID188.27 | 3 | |
| Age Classification | TUAB (test) | Accuracy67.51 | 2 | |
| Gender Classification | TUAB (test) | Accuracy64.37 | 2 | |
| Pathological Classification | TUAB (test) | Accuracy56.4 | 2 | |
| Age Classification | TUAB | Accuracy73.48 | 2 | |
| Pathological Classification | TUAB | Accuracy83.56 | 2 | |
| Text-based classification | TUAB | Pathological Score81.58 | 2 |
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