103 citations · 157 across the 3 of their papers we have counts for
3 papers
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;…
A Generic Deep Learning Based Cough Analysis System from Clinically Validated Samples for Point-of-Need Covid-19 Test and Severity Levels
Javier Andreu-Perez, Humberto Pérez-Espinosa, Eva Timonet +11
We seek to evaluate the detection performance of a rapid primary screening tool of Covid-19 solely based on the cough sound from 8,380 clinically validated samples with laboratory…
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…