Mikel Galar 人物
Mikel Galar · 相关论文
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)引用 2785
Learning from Imbalanced Data Sets
2018引用 1284
An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes
2011Pattern Recognition引用 763
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
2013Pattern Recognition引用 424
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
2013Knowledge-Based Systems引用 380
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
2015Applied Soft Computing引用 263