TY  - JOUR
AU  - Lopez-Garcia, Pedro
AU  - Masegosa, Antonio D.
AU  - Osaba, Eneko
AU  - Onieva, Enrique
AU  - Perallos, Asier
PY  - 2019
DO  - 10.1007/s10489-019-01423-6
SN  - 0924-669X
AB  - One of the most challenging issues when facing a classification problem is to deal with imbalanced datasets. Recently, ensemble classification techniques have proven to be very successful in addressing this problem. We present an ensemble...
LA  - eng
TI  - Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
TY  - journal article
ER  -