Bioinformática
[Claros2025] Multi-Omic Advances in Olive Tree (Olea europaea subsp. europaea L.) Under Salinity: Stepping Towards ‘Smart Oliviculture’. MG Claros, A Bullones, AJ Castro, E Lima-Cabello, MÁ Viruel, MF Suárez, et al. Biology 14 (3), 287
[MB2022] Application of data augmentation techniques towards metabolomics. FJ Moreno-Barea, L Franco, D Elizondo, M Grootveld. Computers in Biology and Medicine 148, 105916
[LB2022] Wound Tissue Classification with Convolutional Neural Networks. RM Luque-Baena, F Ortega-Zamorano, G López-García, FJ Veredas. Artificial Intelligence in Healthcare and Medicine, 197-222.
[LG2020] Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data. G Lopez-Garcia, JM Jerez, L Franco, FJ Veredas. PloS one 15 (3), e0230536
[UM2020] BLASSO: integration of biological knowledge into a regularized linear model. D Urda, F Aragón, R Bautista, L Franco, FJ Veredas, MG Claros, JM Jerez. BMC Systems Biology 12, 13-26
Análisis de textos y modelos de lenguaje
[MB2025] Entity recognition for de-identifying Spanish electronic health records. FJ Moreno-Barea, G López-García, H Mesa, N Ribelles, E Alba, JM Jerez, et al. Computers in Biology and Medicine 185, 109576
[LG2023] Explainable clinical coding with in-domain adapted transformers. G López-García, JM Jerez, N Ribelles, E Alba, FJ Veredas. Journal of Biomedical Informatics 139, 104323.
[MB2023] Clinical text classification in cancer real-world data in Spanish. FJ Moreno-Barea, H Mesa, N Ribelles, E Alba, JM Jerez. International Work-Conference on Bioinformatics and Biomedical Engineering.
[LG2021] Transformers for clinical coding in Spanish. G López-García, JM Jerez, N Ribelles, E Alba, FJ Veredas. IEEE Access 9, 72387-72397.
[NR2021] Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative. N Ribelles, JM Jerez, P Rodriguez-Brazzarola, B Jimenez, et al. European Journal of Cancer 144, 224-231
Deep Learning y modelos de Machine Learning
[MB2022] Data Augmentation Meta-Classifier Scheme for imbalanced data sets. FJ Moreno-Barea, JM Jerez, L Franco. 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1392-1399.
[MB2020] Improving classification accuracy using data augmentation on small data sets. FJ Moreno-Barea, JM Jerez, L Franco. Expert Systems with Applications 161, 113696.
[GG2020] Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. I Gómez, H Mesa, F Ortega-Zamorano, JM Jerez-Aragonés, L Franco. Neural Computing and Applications 32, 8955-8963.
[GE2019] Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain). J González-Enrique, IJ Turias, JJ Ruiz-Aguilar, JA Moscoso-López, et al. Stochastic Environmental Research and Risk Assessment 33 (3), 801-815.
[OZ2017] FPGA implementation of neurocomputational models: comparison between standard back-propagation and C-Mantec constructive algorithm. F Ortega-Zamorano, JM Jerez, GE Juárez, L Franco Neural Processing Letters 46, 899-914