Ensemble Synthesized Minority Oversampling-Based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection-Reference-Cited by-同舟云学术

Ensemble Synthesized Minority Oversampling-Based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection

Published:2023 Issue: Volume:11 Page:89694-89710
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ghaleb Fuad A.¹^ORCID,Saeed Faisal²^ORCID,Al-Sarem Mohammed³^ORCID,Qasem Sultan Noman⁴^ORCID,Al-Hadhrami Tawfik⁵^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

2. Department of Computing and Data Science, DAAI Research Group, School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.

3. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

4. Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

5. Department of Computer Science, School of Science and Technology, Nottingham Trent University, Nottingham, U.K.

Funder

Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University (IMSIU) through Research Partnership Program

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/ielx7/6287639/10005208/10224552.pdf?arnumber=10224552

Reference51 articles.

1. Integrating Machine Learning Algorithms With Quantum Annealing Solvers for Online Fraud Detection

2. Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder

3. Credit Card Fraud Detection using Pipeling and Ensemble Learning

4. Dual Autoencoders Generative Adversarial Network for Imbalanced Classification Problem

5. Credit card fraud detection: A realistic modeling and a novel learning strategy;dal pozzolo;IEEE Trans Neural Netw Learn Syst,2018

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