Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models
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07. Dez. 2021
Über diesen Artikel
Online veröffentlicht: 07. Dez. 2021
Seitenbereich: 175 - 188
Eingereicht: 29. Juli 2021
Akzeptiert: 03. Sept. 2021
DOI: https://doi.org/10.2478/cait-2021-0037
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© 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