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Time Series Anomaly Detection

Papers

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Showing 226–250 of 264 papers

TitleStatusHype
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction—0
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection—0
STRIC: Stacked Residuals of Interpretable Components for Time Series Anomaly Detection—0
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation—0
Federated Variational Learning for Anomaly Detection in Multivariate Time Series—0
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
OnlineSTL: Scaling Time Series Decomposition by 100x—0
Time Series Anomaly Detection for Smart Grids: A Survey—0
Spliced Binned-Pareto Distribution for Robust Modeling of Heavy-tailed Time SeriesCode0
Time Series Anomaly Detection with label-free Model Selection—0
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms—0
StackVAE-G: An efficient and interpretable model for time series anomaly detectionCode0
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning—0
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?—0
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection—0
Anomaly detection in dynamical systems from measured time series—0
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection—0
Automated Model Selection for Time-Series Anomaly Detection—0
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection—0
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series—0
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks—0
Ensemble Grammar Induction For Detecting Anomalies in Time Series—0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal 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