EEG Classification on FACED 9-Class
59.37Balanced AccuracyBrainPro
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BrainPro2025.09 | 59.37 | 54.18 | 60.23 | |
| CBraMod2025.09 | 56.69 | 51.12 | 57.29 | |
| LaBraM2025.09 | 52.24 | 46.1 | 52.59 | |
| NeuroOnline***Foundation Model=EEGPT2026.07 | 49.28 | 42.59 | 49.39 | |
| Conformer2025.09 | 45.66 | 38.49 | 45.55 | |
| NeuroOnline.aFoundation Model=EEGPT2026.07 | 43.08 | 35.7 | 43.04 | |
| off-FT-MLPFoundation Model=EEGPT, Adaptation Strategy=Fine-Tuning, Classifier Head=MLP2026.07 | 39.6 | 32.08 | 39.96 | |
| EEGNet2025.09 | 36.92 | 28.8 | 36.93 | |
| off-FT-LINFoundation Model=EEGPT, Adaptation Strategy=Fine-Tuning, Classifier Head=LIN2026.07 | 33.7 | 25.34 | 33.58 | |
| off-LoRA-MLPFoundation Model=EEGPT, Adaptation Strategy=LoRA, Classifier Head=MLP2026.07 | 33.6 | 25.2 | 33.51 | |
| BIOT2025.09 | 29.92 | 21.05 | 29.54 | |
| off-LoRA-LINFoundation Model=EEGPT, Adaptation Strategy=LoRA, Classifier Head=LIN2026.07 | 28.39 | 19.42 | 28.12 | |
| EEGPT2025.09 | 28.09 | 19.12 | 28.1 |