Classification Based on Multivariate Contrast Patterns. - Leonardo Cañete-Sifuentes; Raúl Monroy; Miguel Angel Medina-Pérez; Octavio Loyola-González; Francisco Vera Voronisky (IEEE Access, 2019)

A Review and Experimental Comparison of Multivariate Decision Trees. - Leonardo Cañete-Sifuentes; Raúl Monroy; Miguel Angel Medina-Pérez (IEEE Access, 2021)

PBC4occ: A novel contrast pattern-based classifier for one-class classification. - Diana Laura Aguilar; Octavio Loyola-González; Miguel Angel Medina-Pérez; Leonardo Cañete-Sifuentes; Kim-Kwang Raymond Choo (Future Gener. Comput. Syst., 2021)

FT4cip: A new functional tree for classification in class imbalance problems. - Leonardo Cañete-Sifuentes; Raúl Monroy; Miguel Angel Medina-Pérez (Knowl. Based Syst., 2022)

Comparing Automated Machine Learning Against an Off-the-Shelf Pattern-Based Classifier in a Class Imbalance Problem: Predicting University Dropout. - Leonardo Cañete-Sifuentes; Victor Robles; Ernestina Menasalvas; Raúl Monroy Borja (IEEE Access, 2023)