EEG Classification on MentalArithmetic
77.43Balanced AccuracyCBraMod-MTDP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CBraMod-MTDPPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 77.43 | 73.3 | 87.37 | — | — | |
| CBraMod-MTDPPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 74.65 | 63.08 | 82.49 | — | — | |
| CBraModPretrain Dataset (Hours)=9000, Pretraining Size=100%2026.03 | 72.56 | 62.67 | 79.05 | — | — | |
| LaBraMPretrain Dataset (Hours)=25002026.03 | 69.09 | 59.99 | 77.21 | — | — | |
| LaBraM#Params=5.8M2025.11 | 69.09 | — | — | 59.99 | 77.21 | |
| SPaRCNetPretrain Dataset (Hours)=02026.03 | 68.79 | 58.25 | 74.18 | — | — | |
| BIOTPretrain Dataset (Hours)=1222026.03 | 68.75 | 60.04 | 75.36 | — | — | |
| EEGConformerPretrain Dataset (Hours)=02026.03 | 68.05 | 58.29 | 74.24 | — | — | |
| EEG Conformer#Params=0.55M2025.11 | 68.05 | — | — | 58.29 | 74.24 | |
| FFCLPretrain Dataset (Hours)=02026.03 | 67.98 | 57.86 | 73.3 | — | — | |
| CNN-TransformerPretrain Dataset (Hours)=02026.03 | 67.79 | 57.77 | 72.58 | — | — | |
| EEGNetPretrain Dataset (Hours)=02026.03 | 67.7 | 57.63 | 73.21 | — | — | |
| ContraWRPretrain Dataset (Hours)=02026.03 | 66.31 | 57.87 | 73.32 | — | — | |
| ST-TransformerPretrain Dataset (Hours)=02026.03 | 66.31 | 56.72 | 71.32 | — | — | |
| ST-Transformer#Params=3.5M2025.11 | 66.31 | — | — | 56.72 | 71.32 | |
| STAMP#Params=0.72M2025.11 | 64.38 | — | — | 58.89 | 81.14 | |
| CBraModPretrain Dataset (Hours)=2250, Pretraining Size=25%2026.03 | 64.24 | 46.91 | 74.94 | — | — | |
| CBraMod#Params=25.1M2025.11 | 61.6 | — | — | 52.72 | 74.87 |