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Anomaly Detection On Uea Time Series Datasets
Metriken
Avg. ROC-AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| SINBAD | 96.8 | Set Features for Fine-grained Anomaly Detection | |
| GOAD | 87.2 | Classification-Based Anomaly Detection for General Data | |
| DROCC | 86.8 | DROCC: Deep Robust One-Class Classification |
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