BukaGini: A Stability-Aware Gini Index Feature Selection Algorithm for Robust Model Performance-Reference-Cited by-同舟云学术

BukaGini: A Stability-Aware Gini Index Feature Selection Algorithm for Robust Model Performance

Published:2023 Issue: Volume:11 Page:59386-59396
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bouke Mohamed Aly¹^ORCID,Abdullah Azizol¹,Frnda Jaroslav²^ORCID,Cengiz Korhan³^ORCID,Salah Bashir⁴^ORCID

Affiliation:

1. Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

2. Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Žilina, Slovakia

3. Department of Computer Engineering, Istinye University, Istanbul, Turkey

4. Department of Industrial Engineering, College of Engineering King Saud University, Riyadh, Saudi Arabia

Funder

King Saud University, Saudi Arabia through researchers supporting project number

Ministry of Education, Youth and Sports of the Czech Republic

VSB - Technical University of Ostrava, Czechia

Institutional research of the Faculty of Operation and Economics of Transport and Communications–University of Zilina

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10147829.pdf?arnumber=10147829

Reference26 articles.

1. Feature selection using Decomposed Mutual Information Maximization

2. A frequency item mining based embedded feature selection algorithm and its application in energy consumption prediction of electric bus

3. Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods

4. Relevance-diversity algorithm for feature selection and modified Bayes for prediction

5. Risk Stratification of COVID-19 Using Routine Laboratory Tests: A Machine Learning Approach

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