Fraud detection using Kolmogorov-Arnold Network (KAN)-XGboost
This study builds on the work of Gislain, Zeutouo & Yurievich, Kostyuchenko. (2025). Fraud detection using Kolmogorov-Arnold Network. and aimed to improve the performance of the initial fraud detection model for Mobile Money transactions, which is based on the KAN algorithm paper. More specifically, it seeks to optimize data preprocessing to enhance model convergence and to reduce false negatives and false positives by combining the KAN model with the XGBoost algorithm.
Recommended citation: Nolack Tapsir Gislain Zeutouo, Evgeniy Yurievich Kostyuchenko, and Serge Ndoumin (2025). "An Ensemble KAN-XGBoost Model for Fraud Detection."
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