Litcius/Paper detail

Boosting anomaly detection using unsupervised diverse test-time augmentation

Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira

2023Information Sciences17 citationsDOI

Topics & Concepts

Anomaly detectionComputer scienceAutoencoderPattern recognition (psychology)Artificial intelligenceAnomaly (physics)Metric (unit)CentroidBoosting (machine learning)Support vector machineData miningMachine learningArtificial neural networkCondensed matter physicsOperations managementPhysicsEconomicsAnomaly Detection Techniques and ApplicationsNetwork Security and Intrusion DetectionData-Driven Disease Surveillance
Boosting anomaly detection using unsupervised diverse test-time augmentation | Litcius