EEG Classification on SEED subject-independent chronological random
73.18Balanced AccuracyLaBraM-Base
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LaBraM-BaseModel Size=5.8M2026.02 | 73.18 | 0.5994 | 73.54 | |
| BIOTModel Size=3.2M2026.02 | 70.97 | 0.5682 | 71.34 | |
| NeuroWeaverModel Size=0.37M/0.18M2026.02 | 62.11 | 0.4397 | 62.46 | |
| CNN-TransformerModel Size=3.2M2026.02 | 61.61 | 0.4262 | 61.5 | |
| ContraWRModel Size=1.6M2026.02 | 61.06 | 0.422 | 61.37 | |
| FFCLModel Size=2.4M2026.02 | 58.08 | 0.3732 | 57.43 | |
| SPaRCNetModel Size=0.79M2026.02 | 55.96 | 0.3464 | 55.85 | |
| NeuroLM-BModel Size=254M2026.02 | 55.54 | 0.3393 | 55.99 | |
| ST-TransformerModel Size=3.5M2026.02 | 54.79 | 0.3261 | 55.05 |