Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models
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Dec 07, 2021
About this article
Published Online: Dec 07, 2021
Page range: 175 - 188
Received: Jul 29, 2021
Accepted: Sep 03, 2021
DOI: https://doi.org/10.2478/cait-2021-0037
Keywords
© 2021 Sumaiya Thaseen Ikram et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Ikram, Sumaiya Thaseen
School of Information Technology and Engineering, Vellore Institute of TechnologyVellore, India
Cherukuri, Aswani Kumar
School of Information Technology and Engineering, Vellore Institute of TechnologyVellore, India
Poorva, Babu
School of Information Technology and Engineering, Vellore Institute of TechnologyVellore, India
Ushasree, Pamidi Sai
School of Information Technology and Engineering, Vellore Institute of TechnologyVellore, India
Zhang, Yishuo
School of Information Technology, Deakin UniversityAustralia
Liu, Xiao
School of Information Technology, Deakin UniversityAustralia
Li, Gang
School of Information Technology, Deakin UniversityAustralia