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Time Series Anomaly Detection

Papers

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Showing 126–150 of 264 papers

TitleStatusHype
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions—0
Can LLMs Serve As Time Series Anomaly Detectors?—0
Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT—0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
Infinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty DetectionCode0
An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw CycleCode0
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation—0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models—0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
Joint Selective State Space Model and Detrending for Robust Time Series Anomaly DetectionCode0
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders—0
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection—0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly DetectionCode0
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series—0
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent NeighborhoodsCode0
Warped Time Series Anomaly Detection—0
Fault Detection in Mobile Networks Using Diffusion Models—0
TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Understanding Time Series Anomaly State Detection through One-Class Classification—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