| TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks | Mar 22, 2023 | Anomaly DetectionAutonomous Driving | CodeCode Available | 1 |
| Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark | Feb 4, 2023 | Anomaly DetectionChange Point Detection | CodeCode Available | 1 |
| FedTADBench: Federated Time-Series Anomaly Detection Benchmark | Dec 19, 2022 | Anomaly DetectionFederated Learning | CodeCode Available | 1 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis | Oct 18, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation | Oct 5, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
| Unsupervised Model Selection for Time-series Anomaly Detection | Oct 3, 2022 | Anomaly Detectionmodel | CodeCode Available | 1 |
| AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Aug 21, 2022 | Anomaly ForecastingMultivariate Time Series Forecasting | CodeCode Available | 1 |
| An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection | Aug 19, 2022 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 |
| Detecting Multivariate Time Series Anomalies with Zero Known Label | Aug 3, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 |
