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Bayesian importance-weighted support vector data description

20260 citationsJournal Article

Authors

Taha J. Alhindi · King Abdulaziz University

Omar Alturkistani · Rutgers, The State University of New Jersey

Jaeseung Baek · Northern Michigan University

Sangahn Kim · Siena College

Mehmet Turkoz · William Paterson University

Myong K. Jeong · Rutgers, The State University of New Jersey

Topics & Keywords

Software System Performance and Reliability Anomaly Detection Techniques and Applications Fire Detection and Safety Systems

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: Pattern Recognition

Volume 179, pp. 113567-113567

DOI: 10.1016/j.patcog.2026.113567

Field-Weighted Citation Impact: 0.00

Bayesian importance-weighted support vector data description | Researchclopedia