mlsanityData to 7 Oct 2026

Precision and Recall for Time Series

arXiv 1803.03639 ↗First posted 8 Mar 2018cs.LG cs.AIcited by 67

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Abstract (arXiv)

Classical anomaly detection is principally concerned with point-based anomalies, those anomalies that occur at a single point in time. Yet, many real-world anomalies are range-based, meaning they occur over a period of time. Motivated by this observation, we present a new mathematical model to evaluate the accuracy of time series classification algorithms. Our model expands the well-known Precision and Recall metrics to measure ranges, while simultaneously enabling customization support for domain-specific preferences.

Key facts. Cited by 67 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Mar 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 5; 2022: 7; 2023: 8; 2024: 12; 2025: 14; 2026: 21.

67 papers.

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  1. 2024CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patchingcited by 91
  2. 2022Local Evaluation of Time Series Anomaly Detection Algorithmscited by 79
  3. 2025TAB: Unified Benchmarking of Time Series Anomaly Detection Methodscited by 58
  4. 2021Neural Contextual Anomaly Detection for Time Seriescited by 42
  5. 2024Large language models can be zero-shot anomaly detectors for time series?cited by 30
  6. 2023Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Seriescited by 24
  7. 2024TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Modelscited by 22
  8. 2024Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?cited by 17
  9. 2022Sintel: A Machine Learning Framework to Extract Insights from Signalscited by 16
  10. 2024PATE: Proximity-Aware Time series anomaly Evaluationcited by 13
  11. 2025VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detectioncited by 11
  12. 2025Robust and Explainable Detector of Time Series Anomaly via Augmenting Multiclass Pseudo-Anomaliescited by 7
38 more
  1. 2022Open challenges for Machine Learning based Early Decision-Making researchcited by 6
  2. 2024Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directionscited by 6
  3. 2025mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scalecited by 6
  4. 2025STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adaptercited by 6
  5. 2021Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systemscited by 5
  6. 2021Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithmscited by 5
  7. 2022A Meta-level Analysis of Online Anomaly Detectorscited by 5
  8. 2023Range-Based Equal Error Rate for Spoof Localizationcited by 5
  9. 2024Probably Approximately Precision and Recall Learningcited by 5
  10. 2022Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Seriescited by 4
  11. 2025Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detectioncited by 4
  12. 2024Matrix Profile for Anomaly Detection on Multidimensional Time Seriescited by 3
  13. 2025M2AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholdingcited by 3
  14. 2026Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interactioncited by 3
  15. 2023SoftED: Metrics for Soft Evaluation of Time Series Event Detectioncited by 2
  16. 2023A Survey of Time Series Anomaly Detection Methods in the AIOps Domaincited by 2
  17. 2024A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detectioncited by 2
  18. 2024Towards Unbiased Evaluation of Time-series Anomaly Detectorcited by 2
  19. 2023EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Seriescited by 1
  20. 2025RATFM: Retrieval-augmented Time Series Foundation Model for Anomaly Detectioncited by 1
  21. 2025Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detectioncited by 1
  22. 2025A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detectioncited by 1
  23. 2026QUPID: A Partitioned Quantum Neural Network for Anomaly Detection in Smart Gridcited by 1
  24. 2026Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasetscited by 1
  25. 2026Online Set Learning from Precision and Recall Feedbackcited by 1
  26. 2026Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detectioncited by 1
  27. 2021My(o) Armband Leaks Passwords: An EMG and IMU Based Keylogging Side-Channel Attackcited by 0
  28. 2021Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detectioncited by 0
  29. 2022Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Datacited by 0
  30. 2022Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detectioncited by 0
  31. 2023Evaluation Strategy of Time-series Anomaly Detection with Decay Functioncited by 0
  32. 2023AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIncited by 0
  33. 2023Active Inference-Based Optimization of Discriminative Neural Network Classifierscited by 0
  34. 2024Understanding Time Series Anomaly State Detection through One-Class Classificationcited by 0
  35. 2024Boundary Density Likelihood for Direct Event-Time Supervisioncited by 0
  36. 2025OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interestcited by 0
  37. 2025JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendationcited by 0
  38. 2025CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detectioncited by 0

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