Fabrice Daniel

Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset

2022 · arXiv (Cornell University)

Various problems of any credit card fraud detection based on machine learning come from the imbalanced aspect of transaction datasets. Indeed, the number of frauds compared to the number of regular transactions is tiny and …

TracInAD: Measuring Influence for Anomaly Detection

2022 · 2022 International Joint Conference on Neural Networks (IJCNN)

As with many other tasks, neural networks prove very effective for anomaly detection purposes. However, very few deep-learning models are suited for detecting anomalies on tabular datasets. This paper proposes a novel methodology to flag …