1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2023
Sharp error bounds for imbalanced classification: how many examples in the minority class?
Anass Aghbalou, François Portier, Anne Sabourin
When dealing with imbalanced classification data, reweighting the loss function is a standard procedure allowing to equilibrate between the true positive and true negative rates wi…
math.ST2022★ 1 cited
Cross-validation on Extreme Regions
Anass Aghbalou, Patrice Bertail, François Portier +1
We conduct a non asymptotic study of the Cross Validation (CV) estimate of the generalization risk for learning algorithms dedicated to extreme regions of the covariates space. In…