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Time Series Anomaly Detection

Papers

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Showing 51–100 of 264 papers

TitleStatusHype
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
Window Size Selection in Unsupervised Time Series Analytics: A Review and BenchmarkCode1
FedTADBench: Federated Time-Series Anomaly Detection BenchmarkCode1
Deep Learning for Time Series Anomaly Detection: A SurveyCode1
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency AnalysisCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
Unsupervised Model Selection for Time-series Anomaly DetectionCode1
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsCode1
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly DetectionCode1
Detecting Multivariate Time Series Anomalies with Zero Known LabelCode1
Calibrated One-class Classification for Unsupervised Time Series Anomaly DetectionCode1
Deep Contrastive One-Class Time Series Anomaly DetectionCode1
Multivariate Time Series Anomaly Detection with Few Positive SamplesCode1
Local Evaluation of Time Series Anomaly Detection AlgorithmsCode1
Time Series Anomaly Detection via Reinforcement Learning-Based Model SelectionCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
HYDRA: Competing convolutional kernels for fast and accurate time series classificationCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
Time Series Anomaly Detection by Cumulative Radon FeaturesCode1
Time-Series Anomaly Detection with Implicit Neural RepresentationCode1
Learning Graph Neural Networks for Multivariate Time Series Anomaly DetectionCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Towards a Rigorous Evaluation of Time-series Anomaly DetectionCode1
Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian FilteringCode1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoTCode1
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of ProgressCode1
Multivariate Time-series Anomaly Detection via Graph Attention NetworkCode1
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial NetworksCode1
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
Deep and Confident Prediction for Time Series at UberCode1
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at ScaleCode0
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time SeriesCode0
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series—0
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection—0
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series—0
Quantum Autoencoder for Multivariate Time Series Anomaly Detection—0
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly DetectionCode0
PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection—0
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection—0
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning—0
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection—0
Refining Time Series Anomaly Detectors using Large Language Models—0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
Multivariate Time Series Anomaly Detection in Industry 5.0—0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
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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