Motor Imagery classification on Stroke 2019
72.75AccuracyPA-TCNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PA-TCNet2026.04 | 72.75 | 71.67 | 75.25 | 71.5 | 0.455 | |
| SSAS2026.04 | 65.08 | 68.33 | 64.27 | 64.59 | 0.302 | |
| SSTDA2026.04 | 63.5 | 53.83 | 58.78 | 52.2 | 0.27 | |
| UA-DANN2026.04 | 61.75 | 68.33 | 62.11 | 62.86 | 0.235 | |
| MSCFormer2026.04 | 60.08 | 57 | 66.58 | 52.05 | 0.202 | |
| EEGConformer2026.04 | 58.17 | 58.17 | 63.73 | 54.67 | 0.163 | |
| SlimSeiz2026.04 | 57.33 | 47.5 | 66.7 | 46.09 | 0.147 | |
| ShallowConvNet2026.04 | 57.25 | 54.67 | 58.06 | 47.84 | 0.145 | |
| DBConformer2026.04 | 56.17 | 43 | 63.68 | 38.63 | 0.123 | |
| EEGNet2026.04 | 55.83 | 50.67 | 61.09 | 46.35 | 0.117 | |
| IFNet2026.04 | 55.42 | 52 | 60.62 | 51.21 | 0.108 |