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Time Series Anomaly Detection

Papers

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Showing 1–25 of 264 papers

TitleStatusHype
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly DetectionCode5
AER: Auto-Encoder with Regression for Time Series Anomaly DetectionCode3
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection BenchmarkCode3
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly DetectionCode2
Anomaly Transformer: Time Series Anomaly Detection with Association DiscrepancyCode2
TAB: Unified Benchmarking of Time Series Anomaly Detection MethodsCode2
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection ModelsCode2
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
TadGAN: Time Series Anomaly Detection Using Generative Adversarial NetworksCode2
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency PatchingCode2
dtaianomaly: A Python library for time series anomaly detectionCode2
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionCode2
European Space Agency Benchmark for Anomaly Detection in Satellite TelemetryCode2
LSTM-based Encoder-Decoder for Multi-sensor Anomaly DetectionCode2
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency PerspectiveCode2
Large language models can be zero-shot anomaly detectors for time series?Code2
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly DetectionCode2
Deep Learning for Time Series Anomaly Detection: A SurveyCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Deep and Confident Prediction for Time Series at UberCode1
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open ChallengesCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Deep Contrastive One-Class Time Series Anomaly DetectionCode1
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
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All datasetsUCR Anomaly ArchiveKPIMSLSMAPSMDSWaTWADIYahoo A1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TimeVQVAE-ADaccuracy0.71—Unverified
2Matrix Profile STUMPYaccuracy0.51—Unverified
3MDIaccuracy0.47—Unverified
4Matrix Profile SCRIMPaccuracy0.42—Unverified
5RCFaccuracy0.39—Unverified
6IFaccuracy0.38—Unverified
7Convolutional AEaccuracy0.35—Unverified
8SR-CNNaccuracy0.3—Unverified
9USADaccuracy0.28—Unverified
10AEaccuracy0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.65—Unverified