Author

Ahmad Cahyono Adi

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Open access Oct 2026

Topology-Aware Reinforcement Learning for Adaptive Credit Card Fraud Detection: Integrating Multidimensional Rebalancing with Deep Q-Networks

Background Credit card fraud detection faces extreme class imbalance, concept drift, and topological overlap. Standard Deep Q-Networks (DQN) suffer catastrophic performance degradation (e.g., 26.8% precision) due to noisy reward signals from overlapping decision boundaries. Methods We propose the Adaptive Multidimensio...

Ahmad Cahyono Adi, L. Fajrin, Jarwoko Agung Saputro et al. · F1000Research · 0 citations

#explainable ai Open access Sep 2026

Adaptive multidimensional rebalancing for customer churn prediction in marketing analytics

This study proposes the Adaptive Multidimensional Rebalancing (AMR) framework, a framework that dynamically evaluates the local topological structure of the feature space, specifically local density, class overlap, and feature variability, to adap-tively allocate synthetic minority samples.

Ahmad Cahyono Adi, Surya Arafah, Beatrix Ayuwandira Dabur et al. · F1000Research · 0 citations