Continuous Emotion Regression on Long-Term Naturalistic Emotion Dataset Arousal (Cross-Subject)
0.4316MSEEEGDancer
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| EEGDancerMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.4316 | 0.5443 | 0.5979 | |
| DDCMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.4832 | 0.5919 | 0.5543 | |
| BiDANNMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5132 | 0.5919 | 0.4782 | |
| DANNMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5441 | 0.6219 | 0.4543 | |
| DCORALMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5476 | 0.622 | 0.4626 | |
| EEGNetMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5657 | 0.6437 | 0.4206 | |
| GradientBoostingRegressorMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5714 | 0.6321 | 0.3831 | |
| MLPMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.578 | 0.5962 | 0.2645 | |
| RGNNMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5832 | 0.6437 | 0.4206 | |
| Random ForestMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5845 | 0.6631 | 0.3571 | |
| LassoMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5855 | 0.6559 | 0.3522 | |
| SVRMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.5948 | 0.6124 | 0.2718 | |
| DANMethod Category=Deep Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.6039 | 0.6655 | 0.3246 | |
| Bayesian RidgeMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.6048 | 0.6524 | 0.3558 | |
| RidgeMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.605 | 0.6525 | 0.3556 | |
| HuberRegressorMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.622 | 0.6546 | 0.3596 | |
| Decision TreeMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.6779 | 0.6917 | 0.2362 | |
| KNNMethod Category=Traditional Machine Learning Method, Evaluation Setting=Cross-Subject2026.06 | 0.6832 | 0.6974 | 0.218 |