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Time Series Anomaly Detection

Papers

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Showing 101–125 of 264 papers

TitleStatusHype
Graph Anomaly Detection in Time Series: A Survey—0
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection—0
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding—0
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection—0
GenIAS: Generator for Instantiating Anomalies in time Series—0
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection—0
Coupled Attention Networks for Multivariate 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
Generative Pre-Training of Time-Series Data for Unsupervised Fault Detection in Semiconductor Manufacturing—0
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection—0
Applying Quantum Autoencoders for Time Series Anomaly Detection—0
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality—0
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection—0
Algorithmic Recourse for Anomaly Detection in Multivariate Time Series—0
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection—0
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection—0
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset—0
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions—0
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain—0
k-Parameter Approach for False In-Season Anomaly Suppression in Daily Time Series Anomaly Detection—0
Label-Efficient Interactive Time-Series Anomaly Detection—0
Low-count Time Series Anomaly Detection—0
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series—0
Context-aware Domain Adaptation for Time Series Anomaly Detection—0
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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