Multivariate Time Series Classification on Physionet12
86.7AUROCGSNF(δlb)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GSNF(δlb)2026.05 | 86.7 | 56.9 | |
| Hi-Patch2026.05 | 86.4 | 56.5 | |
| GSNF(δ)2026.05 | 86.4 | 56.8 | |
| DualDynamics2026.05 | 86.1 | 55.3 | |
| mTAN2026.05 | 85.8 | 50.4 | |
| FlowPath2026.05 | 85.3 | 55.3 | |
| GNeuralFlow2026.05 | 84.5 | 53.7 | |
| TimeCHEAT2026.05 | 84.5 | 46.3 | |
| Warpformer2026.05 | 83.4 | 43.5 | |
| ViTST2026.05 | 81.3 | 37.4 | |
| Raindrop2026.05 | 81.2 | 37.3 | |
| IVP-VAE2026.05 | 81.1 | 46.2 | |
| NeuralFlow2026.05 | 80.9 | 51.5 | |
| ODE-RNN2026.05 | 80.8 | 33.7 | |
| GRU-D2026.05 | 79.1 | 42.7 |