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Supervised Anomaly Detection

In the training set, the amount of abnormal samples is limited and significant fewer than normal samples, producing data distributions that lead to a naturally imbalanced learning problem.

Papers

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Showing 26–50 of 155 papers

TitleStatusHype
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous SupervisionCode1
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and LocalizationCode1
A^3: Activation Anomaly AnalysisCode1
Change-point detection in wind turbine SCADA data for robust condition monitoring with normal behaviour modelsCode1
Learning to Adapt to Unseen Abnormal Activities under Weak SupervisionCode1
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection—0
Anomaly Detection with Domain Adaptation—0
Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies—0
Anomaly Detection in File Fragment Classification of Image File Formats—0
Brain Tumor Anomaly Detection via Latent Regularized Adversarial Network—0
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection—0
Anomaly Detection in Electrocardiograms: Advancing Clinical Diagnosis Through Self-Supervised Learning—0
Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures—0
Directional anomaly detection—0
Autoencoding Binary Classifiers for Supervised Anomaly Detection—0
Anomaly Detection for an E-commerce Pricing System—0
Anomaly Detection in Images—0
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels—0
Enhanced semi-supervised stamping process monitoring with physically-informed feature extraction—0
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market—0
Anomaly Detection by Context Contrasting—0
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection—0
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection—0
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
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