SOTAVerified

Time Series Anomaly Detection

Papers

Showing 51–75 of 264 papers

TitleStatusHype
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly DetectionCode1
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly DetectionCode1
Label-Free Multivariate Time Series Anomaly DetectionCode1
Explainable Time Series Anomaly Detection using Masked Latent Generative ModelingCode1
Deep Learning for Time Series Anomaly Detection: A SurveyCode1
Deep and Confident Prediction for Time Series at UberCode1
Time-Series Anomaly Detection Service at MicrosoftCode1
Time Series Anomaly Detection using Diffusion-based ModelsCode1
BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief PropagationCode1
Time-Series Anomaly Detection with Implicit Neural RepresentationCode1
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesCode1
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly DetectionCode1
Entropy Causal Graphs for Multivariate Time Series Anomaly DetectionCode1
DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density EstimationCode1
AA-Forecast: Anomaly-Aware Forecast for Extreme EventsCode1
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain InformationCode1
HYDRA: Competing convolutional kernels for fast and accurate time series classificationCode1
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly DetectionCode1
FedTADBench: Federated Time-Series Anomaly Detection BenchmarkCode1
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time SeriesCode1
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeCode1
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoTCode1
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
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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