Graph-Based Feature Selection Approach for Molecular Activity Prediction. - Gonzalo Cerruela García; José Manuel Cuevas-Muñoz; Nicolás García-Pedrajas (J. Chem. Inf. Model., 2022)

PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Juan Antonio Romero del Castillo; Aida de Haro-García (Inf. Fusion, 2023)

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Aida de Haro-García (Appl. Soft Comput., 2024)

Extensive experimental comparison among multilabel methods focused on ranking performance. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Gonzalo Cerruela García; Aida de Haro-García (Inf. Sci., 2024)

A thorough experimental comparison of multilabel methods for classification performance. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Gonzalo Cerruela García; Aida de Haro-García (Pattern Recognit., 2024)