35 citations · 54 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 35 cited
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
Support vector machines (SVMs) are popular learning algorithms to deal with binary classification problems. They traditionally assume equal misclassification costs for each class;…
cs.AI2018★ 19 cited
Enhancing Selection Hyper-heuristics via Feature Transformations
I. Amaya, J. C. Ortiz-Bayliss, A. Rosales-Pérez +4
Hyper-heuristics are a novel tool. They deal with complex optimization problems where standalone solvers exhibit varied performance. Among such a tool reside selection hyper-heuris…