An experimental evaluation of mixup regression forests. - Juan José Rodríguez; Mario Juez-Gil; Álvar Arnaiz-González; Ludmila I. Kuncheva (Expert Syst. Appl., 2020)

Experimental evaluation of ensemble classifiers for imbalance in Big Data. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez; César García-Osorio (Appl. Soft Comput., 2021)

Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez; Carlos López Nozal; César García-Osorio (Neurocomputing, 2021)

Rotation Forest for Big Data. - Mario Juez-Gil; Álvar Arnaiz-González; Juan José Rodríguez Diez; Carlos López Nozal; César García-Osorio (Inf. Fusion, 2021)

Activity and Dropout Tracking in Moodle Using UBUMonitor Application. - Yi Peng Ji; Raúl Marticorena Sánchez; Carlos Pardo-Aguilar; Carlos López Nozal; Mario Juez-Gil (Rev. Iberoam. de Tecnol. del Aprendiz., 2022)

Rotation Forest for multi-target regression. - Juan José Rodríguez; Mario Juez-Gil; Carlos López Nozal; Álvar Arnaiz-González (Int. J. Mach. Learn. Cybern., 2022)

Correction to: Rotation Forest for multi-target regression. - Juan José Rodríguez; Mario Juez-Gil; Carlos López Nozal; Álvar Arnaiz-González (Int. J. Mach. Learn. Cybern., 2022)