Francisco J. Moreno-Barea

According to our database, Francisco J. Moreno-Barea authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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

Comput. Biol. Medicine, 2025

2024

Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer.

Francisco J. Moreno-Barea, José M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Clinical Text Classification in Cancer Real-World Data in Spanish.

Francisco J. Moreno-Barea, Héctor Mesa, Nuria Ribelles, Emilio Alba, José M. Jerez

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

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

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Application of data augmentation techniques towards metabolomics.

Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld

Comput. Biol. Medicine, 2022

Data Augmentation Meta-Classifier Scheme for imbalanced data sets.

Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer.

Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco

Proceedings of the Computational Science - ICCS 2022, 2022

Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease.

Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld

Proceedings of the Computational Science - ICCS 2022, 2022

2020

Improving classification accuracy using data augmentation on small data sets.

Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco

Expert Syst. Appl., 2020

2018

Forward Noise Adjustment Scheme for Data Augmentation.

Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018