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Time Series Anomaly Detection

Papers

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Showing 126–150 of 264 papers

TitleStatusHype
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series—0
Ensemble Grammar Induction For Detecting Anomalies in Time Series—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
Evaluation Strategy of Time-series Anomaly Detection with Decay Function—0
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection—0
Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection—0
Fault Detection in Mobile Networks Using Diffusion Models—0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Federated Variational Learning for Anomaly Detection in Multivariate Time Series—0
Feedforward Neural Network for Time Series Anomaly Detection—0
Few-shot time-series anomaly detection with unsupervised domain adaptation—0
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection—0
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection—0
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection—0
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality—0
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
GenIAS: Generator for Instantiating Anomalies in time Series—0
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection—0
Graph Anomaly Detection in Time Series: A Survey—0
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection—0
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection—0
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection—0
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection—0
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?—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