| AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection | Apr 9, 2025 | Anomaly DetectionContrastive Learning | —Unverified | 0 | 0 |
| Devil in the Detail: Attack Scenarios in Industrial Applications | May 24, 2019 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Algorithmic Recourse for Anomaly Detection in Multivariate Time Series | Sep 28, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Multivariate Time Series Anomaly Detection in Industry 5.0 | Mar 20, 2025 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN | Aug 13, 2023 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| DeepFIB: Self-Imputation for Time Series Anomaly Detection | Dec 12, 2021 | Anomaly DetectionAnomaly Localization | —Unverified | 0 | 0 |
| Deep Baseline Network for Time Series Modeling and Anomaly Detection | Sep 10, 2022 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection | Jan 8, 2021 | Anomaly DetectionTime Series | —Unverified | 0 | 0 |
| Understanding Time Series Anomaly State Detection through One-Class Classification | Feb 3, 2024 | Anomaly DetectionOne-Class Classification | —Unverified | 0 | 0 |
| DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection | Oct 13, 2023 | Anomaly DetectionDenoising | —Unverified | 0 | 0 |
