Machine learning-driven credit risk: a systemic review

S Shi, R Tse, W Luo, S D'Addona, G Pau - Neural Computing and …, 2022 - Springer
Credit risk assessment is at the core of modern economies. Traditionally, it is measured by
statistical methods and manual auditing. Recent advances in financial artificial intelligence …

A brief survey of machine learning and deep learning techniques for e-commerce research

X Zhang, F Guo, T Chen, L Pan, G Beliakov… - Journal of Theoretical …, 2023 - mdpi.com
The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Credit card fraud detection using state-of-the-art machine learning and deep learning algorithms

FK Alarfaj, I Malik, HU Khan, N Almusallam… - IEEE …, 2022 - ieeexplore.ieee.org
People can use credit cards for online transactions as it provides an efficient and easy-to-
use facility. With the increase in usage of credit cards, the capacity of credit card misuse has …

An enhanced secure deep learning algorithm for fraud detection in wireless communication

S Sanober, I Alam, S Pande, F Arslan… - Wireless …, 2021 - Wiley Online Library
In today's era of technology, especially in the Internet commerce and banking, the
transactions done by the Mastercards have been increasing rapidly. The card becomes the …

Fraud detection and prevention in e-commerce: A systematic literature review

VF Rodrigues, LM Policarpo, DE da Silveira… - Electronic Commerce …, 2022 - Elsevier
The high volume of money involved in e-commerce transactions draws the attention of
fraudsters, which makes fraud prevention and detection techniques of high importance …

Credit card fraud detection based on unsupervised attentional anomaly detection network

S Jiang, R Dong, J Wang, M Xia - Systems, 2023 - mdpi.com
In recent years, with the rapid development of Internet technology, the number of credit card
users has increased significantly. Subsequently, credit card fraud has caused a large …

A proposed model for card fraud detection based on Catboost and deep neural network

N Nguyen, T Duong, T Chau, VH Nguyen, T Trinh… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid development of technology has digitized customer payment behavior towards a
cashless society. To a certain extent, this has created a feast for miscreants to commit fraud …

Multi-scale self-organizing map assisted deep autoencoding Gaussian mixture model for unsupervised intrusion detection

Y Chen, N Ashizawa, CK Yeo, N Yanai… - Knowledge-Based Systems, 2021 - Elsevier
In an age when the Internet has become the backbone of communications, a robust and safe
network environment is critical. Intrusion detection techniques are thus valuable for IT …

Survey of credit card anomaly and fraud detection using sampling techniques

M Alamri, M Ykhlef - Electronics, 2022 - mdpi.com
The rapid growth in e-commerce has resulted in an increasing number of people shopping
online. These shoppers depend on credit cards as a payment method or use mobile wallets …

Incremental learning strategies for credit cards fraud detection

B Lebichot, GM Paldino, W Siblini, L He-Guelton… - International Journal of …, 2021 - Springer
Every second, thousands of credit or debit card transactions are processed in financial
institutions. This extensive amount of data and its sequential nature make the problem of …