| 2024 | ICCS | Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. | Francisco J. Moreno-Barea, Jos M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco |
| 2023 | ICCS | Named Entity Recognition for De-identifying Real-World Health Records in Spanish. | Guillermo Lpez-Garca, Francisco J. Moreno-Barea, Hctor Mesa, Jos M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas |
| 2022 | ICCS | GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. | Francisco J. Moreno-Barea, Jos M. Jerez, Leonardo Franco |
| 2021 | IWANN | Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. | Guillermo Lpez-Garca, Jos M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas |
| 2019 | IJCNN | MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. | Guillermo Lpez-Garca, Jos M. Jerez, Daniel Urda, Francisco J. Veredas |
| 2019 | IWANN | A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. | Guillermo Lpez-Garca, Jos M. Jerez, Leonardo Franco, Francisco J. Veredas |
| 2018 | SoMeT | Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. | Daniel Urda, Jos M. Jerez, Ignacio J. Turias |
| 2017 | IJCNN | Machine learning models to search relevant genetic signatures in clinical context. | Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, Jos M. Jerez, Noelia Snchez-Maroo |
| 2017 | IWANN | Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. | Jos Luis Subirats, Hctor Mesa, Francisco Ortega-Zamorano, Gustavo Jurez, Jos M. Jerez, Ignacio J. Turias, Leonardo Franco |
| 2017 | IWANN | Deep Learning to Analyze RNA-Seq Gene Expression Data. | Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, Jos M. Jerez |
| 2016 | DCAI | Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. | Francisco Ortega-Zamorano, Jos M. Jerez, Ivn Gmez, Leonardo Franco |
| 2015 | IWANN | FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. | Francisco Ortega-Zamorano, Jos M. Jerez, Gustavo Jurez, Leonardo Franco |
| 2014 | IES | High precision FPGA implementation of neural network activation functions. | Francisco Ortega-Zamorano, Jos M. Jerez, Gustavo Jurez, Jorge O. Perez, Leonardo Franco |
| 2013 | IWANN | Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. | Francisco Ortega-Zamorano, Jos Luis Subirats, Jos M. Jerez, Ignacio Molina, Leonardo Franco |
| 2012 | ICONIP | Data Discretization Using the Extreme Learning Machine Neural Network. | Juan Jess Carneros, Jos M. Jerez, Ivn Gmez, Leonardo Franco |
| 2011 | IWANN | Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. | Yasel Couce, Leonardo Franco, Daniel Urda, Jos Luis Subirats, Jos M. Jerez |
| 2010 | ISNN | Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. | Ivn Gmez, Leonardo Franco, Jos M. Jerez, Jos Luis Subirats |
| 2008 | ICANN | Active Learning Using a Constructive Neural Network Algorithm. | Jos Luis Subirats, Leonardo Franco, Ignacio Molina Conde, Jos M. Jerez |
| 2007 | ICANN | MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. | Leonardo Franco, Jos Luis Subirats, Jos M. Jerez |
| 2007 | IWANN | Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. | Leonardo Franco, Jos Luis Subirats, Ignacio Molina, Emilio Alba, Jos M. Jerez |
| 2006 | ICANN | Neural Network Architecture Selection: Size Depends on Function Complexity. | Ivn Gmez, Leonardo Franco, Jos Luis Subirats, Jos M. Jerez |
| 2006 | ICANN | Optimal Synthesis of Boolean Functions by Threshold Functions. | Jos Luis Subirats, Ivn Gmez, Jos M. Jerez, Leonardo Franco |
| 2006 | IJCNN | A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. | Leonardo Franco, Jos Luis Subirats, Martin Anthony, Jos M. Jerez |
| 2005 | ESANN | Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. | Leonardo Franco, Jos M. Jerez, Emilio Alba |
| 2005 | IWANN | Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. | Leonardo Franco, Jos M. Jerez, Jos M. Bravo |
| 2003 | IWANN | CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. | Jos M. Jerez, Leonardo Franco, Ignacio Molina |