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Time Series Anomaly Detection

Papers

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Showing 201–250 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
Multivariate Time Series Anomaly Detection using DiffGAN ModelCode0
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation MethodologyCode0
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context EncodingCode0
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing DetectionCode0
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at ScaleCode0
Federated Learning with Reservoir State Analysis for Time Series Anomaly DetectionCode0
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly DetectionCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionCode0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
VELC: A New Variational AutoEncoder Based Model for Time Series Anomaly DetectionCode0
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time SeriesCode0
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly DetectionCode0
Monte Carlo EM for Deep Time Series Anomaly DetectionCode0
Dive into Time-Series Anomaly Detection: A Decade ReviewCode0
Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural NetworkCode0
An Effective WGAN-based Anomaly Detection Model for loT Multivariate Time Series Published on Pacific-Asia Conference on Knowledge Discovery and Data MiningCode0
Time series anomaly detection with reconstruction-based state-space modelsCode0
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time SeriesCode0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series DataCode0
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial VulnerabilityCode0
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time SeriesCode0
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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