| Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series | Mar 2, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| Multivariate Time Series Anomaly Detection using DiffGAN Model | Jan 3, 2025 | Anomaly DetectionGenerative Adversarial Network | CodeCode Available | 0 | 5 |
| Federated Learning with Reservoir State Analysis for Time Series Anomaly Detection | Feb 8, 2025 | Anomaly DetectionComputational Efficiency | CodeCode Available | 0 | 5 |
| mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale | Jun 26, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology | Aug 24, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| MIXAD: Memory-Induced Explainable Time Series Anomaly Detection | Oct 30, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| MIM-GAN-based Anomaly Detection for Multivariate Time Series Data | Oct 26, 2023 | Anomaly DetectionDiversity | CodeCode Available | 0 | 5 |
| Monte Carlo EM for Deep Time Series Anomaly Detection | Dec 29, 2021 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| StackVAE-G: An efficient and interpretable model for time series anomaly detection | May 18, 2021 | Anomaly DetectionGraph Learning | CodeCode Available | 0 | 5 |
| OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User | Oct 26, 2023 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
