6 citations · 8 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
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.LG2021★ 2 cited
Evaluating categorical encoding methods on a real credit card fraud detection database
François de la Bourdonnaye, Fabrice Daniel
Correctly dealing with categorical data in a supervised learning context is still a major issue. Furthermore, though some machine learning methods embody builtin methods to deal wi…