| TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection | Nov 18, 2024 | Anomaly DetectionLarge Language Model | CodeCode Available | 1 | 5 |
| An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data Mining | May 27, 2023 | PredictionTime Series | CodeCode Available | 0 | 5 |
| DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series | Dec 19, 2018 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| A Subspace Method for Time Series Anomaly Detection in Cyber-Physical Systems | May 20, 2022 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data | Nov 20, 2018 | Anomaly DetectionDecoder | CodeCode Available | 0 | 5 |
| DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection | Apr 19, 2025 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 | 5 |
| An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle | Jul 4, 2024 | Anomaly DetectionRetrieval | CodeCode Available | 0 | 5 |
| PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series | Dec 9, 2024 | Anomaly DetectionNeural Architecture Search | CodeCode Available | 0 | 5 |
| QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI Forecasting | Jun 9, 2023 | Anomaly DetectionTime Series | CodeCode Available | 0 | 5 |
| 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 |
