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Time Series Anomaly Detection

Papers

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Showing 201–225 of 264 papers

TitleStatusHype
Harnessing Contrastive Learning and Neural Transformation for Time Series Anomaly Detection—0
Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT—0
Time Series Anomaly Detection with label-free Model Selection—0
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders—0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Towards Experienced Anomaly Detector through Reinforcement Learning—0
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models—0
Understanding Time Series Anomaly State Detection through One-Class Classification—0
Unsupervised Anomaly Detection in Time-series: An Extensive Evaluation and Analysis of State-of-the-art Methods—0
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection—0
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection—0
Warped Time Series Anomaly Detection—0
Warping Resilient Scalable Anomaly Detection in Time Series—0
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionCode0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesCode0
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly DetectionCode0
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly DetectionCode0
Correlation-Driven Multi-Level Multimodal Learning for Anomaly Detection on Multiple Energy SourcesCode0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time SeriesCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
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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