14 citations · 43 across the 10 of their papers we have counts for
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cs.LG2022★ 6 cited
Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset
François de la Bourdonnaye, Fabrice Daniel
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…
cs.LG2022★ 7 cited
TracInAD: Measuring Influence for Anomaly Detection
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel +2
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…