Abnormal Signal Detection on TUAB subset of 50,000 samples (val)
81.72Balanced AccuracyCSBrain
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CSBrainModel Category=Foundation Models, # Params=28.4 M, Training Data Scale=50,000 samples2026.03 | 81.72 | 90.05 | 89.57 | |
| LaBraMModel Category=Foundation Models, # Params=5.8 M, Training Data Scale=50,000 samples2026.03 | 81.4 | 89.65 | 90.22 | |
| CBramodModel Category=Foundation Models, # Params=24.4 M, Training Data Scale=50,000 samples2026.03 | 78.91 | 86.36 | 86.06 | |
| FFCLModel Category=Task-Specific Models, Training Data Scale=50,000 samples2026.03 | 78.48 | 84.48 | 85.69 | |
| EEGConfModel Category=Task-Specific Models, Training Data Scale=50,000 samples2026.03 | 77.58 | 84.27 | 84.45 | |
| SpecMoEModel Category=Foundation Models, # Params=4.3 M, Training Data Scale=50,000 samples2026.03 | 77.42 | 85.48 | 85.54 | |
| EEGNetModel Category=Task-Specific Models, Training Data Scale=50,000 samples2026.03 | 76.42 | 82.99 | 84.12 |