Time-Series Anomaly Detection on WSD
0.9888F1 ScoreKAN-AD
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| KAN-AD2024.11 | 0.9888 | — | — | — | — | 0.8927 | 0.6623 | 0.9868 | |
| KAN2024.11 | 0.9879 | — | — | — | — | 0.8939 | 0.665 | 0.9881 | |
| LSTMAD2024.11 | 0.9866 | — | — | — | — | 0.9028 | 0.6743 | 0.9849 | |
| FITS2024.11 | 0.9732 | — | — | — | — | 0.8391 | 0.6535 | 0.9771 | |
| FCVAE2024.11 | 0.965 | — | — | — | — | 0.861 | 0.6583 | 0.9653 | |
| OFA2024.11 | 0.9564 | — | — | — | — | 0.8344 | 0.625 | 0.9615 | |
| TimesNet2024.11 | 0.9406 | — | — | — | — | 0.8444 | 0.617 | 0.9376 | |
| SubLOF2024.11 | 0.8683 | — | — | — | — | 0.6585 | 0.4917 | 0.8353 | |
| TranAD2024.11 | 0.757 | — | — | — | — | 0.6338 | 0.4158 | 0.7106 | |
| AnomaMindbackbone=Qwen3-8B, agent_framework=agent-lightning, optimization=full fine-tuning2026.02 | 0.57 | 0.74 | 0.486 | 0.59 | 0.597 | — | — | — | |
| OFA2026.02 | 0.461 | 0.343 | 0.52 | 0.461 | 0.446 | — | — | — | |
| AnoTrans2024.11 | 0.4348 | — | — | — | — | 0.2311 | 0.1517 | 0.3527 | |
| FFT-AD2026.02 | 0.428 | 0.438 | 0.571 | 0.542 | 0.495 | — | — | — | |
| SRCNN2024.11 | 0.4092 | — | — | — | — | 0.1185 | 0.1951 | 0.308 | |
| CNN2026.02 | 0.407 | 0.781 | 0.35 | 0.545 | 0.521 | — | — | — | |
| LSTMAD2026.02 | 0.397 | 0.738 | 0.355 | 0.397 | 0.513 | — | — | — | |
| SR2026.02 | 0.37 | 0.467 | 0.402 | 0.472 | 0.428 | — | — | — | |
| TimesFMpretraining=large-scale2026.02 | 0.307 | 0.757 | 0.247 | 0.464 | 0.444 | — | — | — | |
| Chronospretraining=large-scale2026.02 | 0.298 | 0.763 | 0.231 | 0.442 | 0.433 | — | — | — | |
| M2N22026.02 | 0.261 | 0.445 | 0.268 | 0.414 | 0.347 | — | — | — | |
| TransAD2026.02 | 0.237 | 0.545 | 0.177 | 0.29 | 0.312 | — | — | — | |
| LLMAD2026.02 | 0.193 | 0.265 | 0.152 | 0.194 | 0.201 | — | — | — | |
| SAND2024.11 | 0.1761 | — | — | — | — | 0.0839 | 0.1267 | 0.1238 | |
| LLM-TSAD2026.02 | 0.133 | 0.145 | 0.338 | 0.133 | 0.187 | — | — | — |