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Time Series Anomaly Detection

Papers

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Showing 151–175 of 264 papers

TitleStatusHype
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series—0
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection—0
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast—0
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?—0
Diverse Counterfactual Explanations for Anomaly Detection in Time Series—0
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting—0
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models—0
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection—0
Devil in the Detail: Attack Scenarios in Industrial Applications—0
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series—0
Multivariate Time Series Anomaly Detection in Industry 5.0—0
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Deep Baseline Network for Time Series Modeling and Anomaly Detection—0
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection—0
Understanding Time Series Anomaly State Detection through One-Class Classification—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions—0
OnlineSTL: Scaling Time Series Decomposition by 100x—0
Online Time Series Anomaly Detection with State Space Gaussian Processes—0
Open-Set Multivariate Time-Series Anomaly Detection—0
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches—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