Multi-Label Classification on CPSC 2018
97.4Macro AUCER-JEPA
Evaluation Results
| Method | Links | |
|---|---|---|
| ER-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 97.4 | |
| ST-MEMPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 97.3 | |
| ECG-JEPAPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 97.3 | |
| 1D-JEPA (5 pretrained encoders)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 97.3 | |
| ER-JEPA (10 trials)Pretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning, Downstream trials=102026.07 | 97.3 | |
| SimCLRPretrain dataset=Shao+CODE15, Records=180 K, Evaluation protocol=Fine-Tuning2026.07 | 93.6 | |
| ECG-FMPretrain dataset=UHN [10], Records=622 K, Evaluation protocol=Fine-Tuning2026.07 | 92.2 | |
| KEDPretrain dataset=MIMIC-IV-ECG, Records=800 K, Evaluation protocol=Fine-Tuning2026.07 | 89.1 |