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Time Series Anomaly Detection

Papers

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Showing 126–150 of 264 papers

TitleStatusHype
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential ReconstructionCode1
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models—0
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models—0
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation MethodologyCode0
Low-count Time Series Anomaly Detection—0
CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly DetectionCode1
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN—0
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain—0
Refining the Optimization Target for Automatic Univariate Time Series Anomaly Detection in Monitoring Services—0
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly DetectionCode1
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions—0
Prototypes as Explanation for Time Series Anomaly Detection—0
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionCode1
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionCode2
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief PropagationCode1
Coupled Attention Networks for Multivariate Time Series Anomaly Detection—0
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data MiningCode0
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series—0
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection—0
Evaluation Strategy of Time-series Anomaly Detection with Decay Function—0
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeCode1
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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