Latest Research in Anomaly Detection Techniques and Applications

Top Research Topics in Anomaly Detection Techniques and Applications

• Machine Learning — 6 papers
• Anomaly Detection Techniques and Applications — 3 papers
• Methodology — 2 papers
• Solar and Space Plasma Dynamics — 1 papers
• Advanced Clustering Algorithms Research — 1 papers
• Risk and Safety Analysis — 1 papers
• Data Quality and Management — 1 papers
• Advanced Statistical Methods and Models — 1 papers
• Meteorological Phenomena and Simulations — 1 papers
• Artificial Intelligence — 1 papers

Highest-Cited Papers

1. Automated Structure Detection in Non-Stationary Time Series Using Multi-Statistic Joint Analysis
2. Surprise Reduction and Nullification in Bayesian and Inverse Bayesian Inference under Ambiguous Prediction-Error Attribution
3. Density peaks clustering with spatiotemporal nearest neighbors
4. FCAE-Mixer: frequency-aware convolutional autoencoder with dual-branch mixing for time series anomaly detection
5. TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series
6. Introducing TAM: A PyTorch-Based Additive Forecasting Framework and its Application to Explainable Anomaly Detection
7. Introducing TAM: A PyTorch-Based Additive Forecasting Framework and its Application to Explainable Anomaly Detection
8. A Poisson distribution Model Based on Uncertainty
9. Assessing administrative data quality: Detecting outliers in monthly reporting through historical analysis
10. On the mean-shift outlier model for LAD regression
11. Research on Quality Control Method of Surface Temperature Observations Based on Spatiotemporal Graph Neural Network
12. When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams
13. Online detection of distributional changes for time series in metric spaces
14. Alert: Learning Trigger Functions for Early Classification of Time Series using Deep-RL
15. LLM Agents for Time-Series: A Survey
16. A Universal, Options-Free, One-Byte Market-State Primitive: Cross-Asset Transfer, Distributional-Novelty Detection, and Privacy-Preserving Federation
17. The Map Changes What Looks Like a Group: What Dimensionality Reduction Actually Preserves
18. Persistent Cross Entropy
19. Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection
20. Counterfactual Transition Graphs: Evaluating Cross-Class Transition Quality