Forward Noise Adjustment Scheme for Data Augmentation. - Francisco J. Moreno-Barea; Fiammetta Strazzera; José M. Jerez; Daniel Urda; Leonardo Franco (SSCI, 2018)

Improving classification accuracy using data augmentation on small data sets. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (Expert Syst. Appl., 2020)

Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. - Francisco J. Moreno-Barea; Leonardo Franco; David A. Elizondo; Martin Grootveld (ICCS (3), 2022)

GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (ICCS (3), 2022)

Data Augmentation Meta-Classifier Scheme for imbalanced data sets. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (SSCI, 2022)

Application of data augmentation techniques towards metabolomics. - Francisco J. Moreno-Barea; Leonardo Franco; David A. Elizondo; Martin Grootveld (Comput. Biol. Medicine, 2022)

Named Entity Recognition for De-identifying Real-World Health Records in Spanish. - Guillermo López-García; Francisco J. Moreno-Barea; Héctor Mesa; José M. Jerez; Nuria Ribelles; Emilio Alba; Francisco J. Veredas 001 (ICCS (3), 2023)

Clinical Text Classification in Cancer Real-World Data in Spanish. - Francisco J. Moreno-Barea; Héctor Mesa; Nuria Ribelles; Emilio Alba; José M. Jerez (IWBBIO (1), 2023)

Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. - Francisco J. Moreno-Barea; José M. Jerez; Nuria Ribelles; Emilio Alba; Leonardo Franco (ICCS (6), 2024)

Named entity recognition for de-identifying Spanish electronic health records. - Francisco J. Moreno-Barea; Guillermo López-García; Héctor Mesa; Nuria Ribelles; Emilio Alba; José M. Jerez; Francisco J. Veredas 001 (Comput. Biol. Medicine, 2025)