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Time Series Anomaly Detection

Papers

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Showing 76–100 of 264 papers

TitleStatusHype
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
Entropy Causal Graphs for Multivariate Time Series Anomaly DetectionCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential ReconstructionCode1
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly DetectionCode1
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection—0
Deep Baseline Network for Time Series Modeling and Anomaly Detection—0
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset—0
Argos: Agentic Time-Series Anomaly Detection with Autonomous Rule Generation via Large Language Models—0
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning—0
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection—0
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation—0
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection—0
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series—0
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection—0
Coupled Attention Networks for Multivariate Time Series Anomaly Detection—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
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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