Addressing the classification with imbalanced data: Open problems and new challenges on class distribution
On the Impact of Distance-based Relative Competence Weighting Approach in One-vs-One Classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems
