Multi-Class Classification on CPSC 2018
0.983Macro AUCJEPA (10 trials)
Evaluation Results
| Method | Links | |
|---|---|---|
| JEPA (10 trials)Pretrain dataset=MIMIC-IV-ECG, Records=800 K, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 0.983 | |
| ER-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.981 | |
| ER-JEPA (10 trials)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 0.98 | |
| 1D-JEPA (5 pretrained encoders)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.979 | |
| ST-MEMPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.977 | |
| ECG-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.976 | |
| MLAEPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.973 | |
| MoCo v3Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.967 | |
| MTAEPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.961 | |
| SimCLRPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 0.955 | |
| ECG-FMPretrain dataset=UHN [10], Records=622 K, Evaluation protocol=Fine-Tuning2026.07 | 0.947 | |
| KEDPretrain dataset=MIMIC-IV-ECG, Records=800 K, Evaluation protocol=Fine-Tuning2026.07 | 0.923 |