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Time Series Anomaly Detection

Papers

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Showing 101–125 of 264 papers

TitleStatusHype
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly DetectionCode2
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection—0
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection—0
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly DetectionCode1
Label-Free Multivariate Time Series Anomaly DetectionCode1
Entropy Causal Graphs for Multivariate Time Series Anomaly DetectionCode1
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly DetectionCode1
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection—0
Set Features for Anomaly DetectionCode1
Explainable Time Series Anomaly Detection using Masked Latent Generative ModelingCode1
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain SolutionCode1
k-Parameter Approach for False In-Season Anomaly Suppression in Daily Time Series Anomaly Detection—0
Sketching Multidimensional Time Series for Fast Discord Mining—0
Time Series Anomaly Detection using Diffusion-based ModelsCode1
Few-shot time-series anomaly detection with unsupervised domain adaptation—0
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-UserCode0
MIM-GAN-based Anomaly Detection for Multivariate Time Series DataCode0
Open-Set Multivariate Time-Series Anomaly Detection—0
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection—0
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection—0
Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly DetectionCode1
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series—0
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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