This paper proposes a method called autoencoder with probabilistic LightGBM (AED-LGB) for detecting credit card frauds. deep learning-based AED-LGB algorithm first extracts low-dimensional feature data from high-dimensional bank using the characteristics of an which has symmetrical network structure, enhancing ability representation learning. The fraud dataset comes real anonymized by and is hi...

Countless research works of deep neural networks (DNNs) in the task credit card fraud detection have focused on improving accuracy point predictions and mitigating unwanted biases by building different network architectures or learning models. Quantifying uncertainty accompanied estimation is essential because it mitigates model unfairness permits practitioners to develop trustworthy systems wh...