Research Index
| October 2023 | Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro, Alberto Alonso, Enrique CalabrĆ©s, Mikel GalarMikel | Read |
| January, 2020 | CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems M. Elkano, J.A. Sanz, E. Barrenechea, H. Bustince, M. Galar | Read |
| November, 2018 | Dynamic ensemble selection for multi-class classification with one-class classifiers B. Krawczyk, M. Galar, M. WoÅŗniak, H. Bustince, F. Herrera | Read |
| October, 2018 | Learning from Imbalanced Data Sets Alberto FernĆ”ndez,Ā Salvador GarcĆa,Ā Mikel Galar,Ā Ronaldo C. Prati,Ā Bartosz Krawczyk,Ā Francisco Herrera | Read |
| August, 2016 | Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets M. Galar, A. FernƔndez, E. Barrenechea, H. Bustince, F. Herrera | Read |
| January, 2016 | Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy B. Krawczyk, M. Galar, L. Jelen, F. Herrera | Read |
| January, 2015 | DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems M. Galar, A. FernƔndez, E. Barrenechea, F. Herrera | Read |
| December, 2013 | EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling M. Galar, A. FernƔndez, E. Barrenechea, F. Herrera | Read |
| December, 2013 | Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers M. Galar, A. FernƔndez, E. Barrenechea, H. Bustince, F. Herrera | Read |