Work

Enhancing One-Class Anomaly Detection in Unlabeled Datasets Through Unsupervised Data Refinement

Year: 2024

Type: conference-paper

Source: IEEE International Symposium on Intelligent Systems and Informatics (SISY)

DOI: 10.1109/sisy62279.2024.10737577

Authors: Jiyan Salim Mahmud, Imre Lendak

Institution: Eötvös Loránd University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404057358

FWCI: 1.472

Cites: 39

Cited by: 5

Related to: 10