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Time Series Anomaly Detection

Papers

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Showing 126–150 of 264 papers

TitleStatusHype
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly DetectionCode0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty DetectionCode0
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing DetectionCode0
Fault Detection in Mobile Networks Using Diffusion Models—0
Learning Representation for Anomaly Detection of Vehicle Trajectories—0
Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series Anomaly Detection—0
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection—0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection—0
Low-count Time Series Anomaly Detection—0
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding—0
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection—0
Evaluation Strategy of Time-series Anomaly Detection with Decay Function—0
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models—0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Matrix Profile for Anomaly Detection on Multidimensional Time Series—0
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction—0
Ensemble Grammar Induction For Detecting Anomalies in Time Series—0
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series—0
Towards Experienced Anomaly Detector through Reinforcement Learning—0
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection—0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—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