Latest Research in Statistical Anomaly Detection

Top Research Topics in Statistical Anomaly Detection

• Machine Learning — 20 papers
• Anomaly Detection Techniques and Applications — 17 papers
• Advanced Statistical Process Monitoring — 17 papers
• Methodology — 7 papers
• Software System Performance and Reliability — 5 papers
• Artificial Intelligence — 4 papers
• Power Transformer Diagnostics and Insulation — 3 papers
• Machine Fault Diagnosis Techniques — 3 papers
• Seismology and Earthquake Studies — 2 papers
• Time Series Analysis and Forecasting — 2 papers

Highest-Cited Papers

1. Early warning of mine seismic events via spatiotemporal information transformation learning
2. Towards explainable anomaly detection for satellite telemetry
3. Time series one class classification: a systematic review of methods, applications, and challenges
4. One‐Sided Combined Control Charts for Monitoring a Shifted Exponential Process in the Case of Individual Observations
5. Automated Structure Detection in Non-Stationary Time Series Using Multi-Statistic Joint Analysis
6. Unsupervised state-learning for multivariate time series data: a survey and practical guidelines
7. Does the Law Explain Itself? On Physical Order, the Two Stops, and the Ground the Figure Cannot Supply
8. Anomaly detection in smart agricultural control systems using semi-supervised bidirectional encoding
9. THE LIMINAL FIELD: The Web Crumbles
10. A unified approach to robust classification in the presence of outliers
11. Scalable and Adaptive Log-based Anomaly Detection: A Synergistic Approach
12. From fault logs to insights: TF–IDF vectorization and cluster-based behavioral analysis of railway vehicles
13. GALLog: A Graph-based Log Anomaly Detection Method with Active Learning
14. Explainable Outlier Detection for Multivariate Functional Data
15. (12)Tuning International Conflicts via a Wave-Mechanics Approach: Multidimensionalization of Complex Hamiltonians and Reconstructing Social Systems Through Dissipative Structures
16. On Developing Robust Monitoring Scheme for Location Parameter
17. Isolation-based Spherical Ensemble Representations for Tabular Anomaly Detection
18. GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection
19. The Predictive Reach of a Decision Token: An Honest Map of Forecasting, Anticipation, and Complementary-Modality Fusion on a Single-Token Substrate (1 citations)
20. The Predictive Reach of a Decision Token: An Honest Map of Forecasting, Anticipation, and Complementary-Modality Fusion on a Single-Token Substrate (1 citations)

Sub-Regions

• Machine Learning — 41 papers
• Advanced Statistical Process Monitoring — 32 papers
• Anomaly Detection Techniques and Applications — 20 papers
• Computer Vision and Pattern Recognition — 18 papers
• Machine Learning in Healthcare — 9 papers
• Explainable Artificial Intelligence (XAI) — 7 papers