2 citations · 2 across the 3 of their papers we have counts for
3 papers
Sampling Imbalanced Data with Multi-objective Bilevel Optimization
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Two-class classification problems are often characterized by an imbalance between the number of majority and minority datapoints resulting in poor classification of the minority cl…
A Bilevel Optimization Framework for Imbalanced Data Classification
Karen Medlin, Sven Leyffer, Krishnan Raghavan
Data rebalancing techniques, including oversampling and undersampling, are a common approach to addressing the challenges of imbalanced data. To tackle unresolved problems related…
Maximum Covering Subtrees for Phylogenetic Networks
Nathan Davidov, Amanda Hernandez, Justin Jian +9
Tree-based phylogenetic networks, which may be roughly defined as leaf-labeled networks built by adding arcs only between the original tree edges, have elegant properties for model…