José A. Sáez

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

José A. Sáez, Julián Luengo, Jerzy Stefanowski et al. · Information Sciences · 2014 · 619 citations

Computing, Computer Science, Machine Learning +16

A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

Salvador García, Julián Luengo, José A. Sáez et al. · IEEE Transactions on Knowledge and Data Engineering · 2012 · 540 citations

Computing, Computer Science, Data Mining +14

Study on the Impact of Partition-Induced Dataset Shift on <formula formulatype="inline"><tex Notation="TeX">$k$</tex></formula>-Fold Cross-Validation

Jose G. Moreno-Torres, José A. Sáez, Francisco Herrera · IEEE Transactions on Neural Networks and Learning Systems · 2012 · 301 citations

Computing, Computer Science, Data Science +16

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

José A. Sáez, Bartosz Krawczyk, Michał Woźniak · Pattern Recognition · 2016 · 240 citations

Computing, Computer Science, Data Science +14

Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition

José A. Sáez, Mikel Galar, Julián Luengo et al. · Knowledge and Information Systems · 2012 · 143 citations

Natural Sciences, Mathematics, Operations Research +4