S. Gnatyuk, a professor at the Department of SMART Technologies, published “FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets” in the Scopus-indexed journal Computers (2025).
The paper presents an interpretable machine learning framework for detecting credit card fraud on imbalanced datasets.
Author’s Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=36184129600
