José M. Jerez

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 34

Top Topics

Fpga Implementation

Genetic Algorithm

Top Venues

J. Biomed. Informatics

Publications

Francisco J. Moreno-Barea, José M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco
Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. ICCS (6) (2024)
Francisco J. Veredas, Fernando Gallego, Guillermo López-García, Nuria Ribelles, Emilio Alba, José M. Jerez
Artificial Intelligence for Natural Language Processing of Clinical Text in Spanish for Real-World-Data Analysis (Text2RWD Project). SEPLN (Projects and Demonstrations) (2024)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Explainable clinical coding with in-domain adapted transformers. J. Biomed. Informatics 139 (2023)
Guillermo López-García, Francisco J. Moreno-Barea, Héctor Mesa, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Named Entity Recognition for De-identifying Real-World Health Records in Spanish. ICCS (3) (2023)
Francisco J. Moreno-Barea, Héctor Mesa, Nuria Ribelles, Emilio Alba, José M. Jerez
Clinical Text Classification in Cancer Real-World Data in Spanish. IWBBIO (1) (2023)
Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). SOCO (2022)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. ICCS (3) (2022)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
Data Augmentation Meta-Classifier Scheme for imbalanced data sets. SSCI (2022)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. IWANN (1) (2021)
Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, Ignacio J. Turias
Deep neural networks architecture driven by problem-specific information. Neural Comput. Appl. 33 (15) (2021)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Transformers for Clinical Coding in Spanish. IEEE Access 9 (2021)
Guillermo López-García, José M. Jerez, Francisco J. Veredas
ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT. CLEF (Working Notes) (2020)
Guillermo López-García, José M. Jerez, Francisco José Veredas
ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT. IberLEF@SEPLN (2020)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
Improving classification accuracy using data augmentation on small data sets. Expert Syst. Appl. 161 (2020)
Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. IWANN (1) (2019)
Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas
MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. IJCNN (2019)
Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
Forward Noise Adjustment Scheme for Data Augmentation. SSCI (2018)
Daniel Urda, José M. Jerez, Ignacio J. Turias
Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT (2018)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Layer multiplexing FPGA implementation for deep back-propagation learning. Integr. Comput. Aided Eng. 24 (2) (2017)
Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
L_1 L 1 -regularization Model Enriched with Biological Knowledge. IWBBIO (1) (2017)
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
Machine learning models to search relevant genetic signatures in clinical context. IJCNN (2017)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. Neural Process. Lett. 46 (3) (2017)
Daniel Urda, Leonardo Franco, José M. Jerez
Classification of high dimensional data using LASSO ensembles. SSCI (2017)
Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) (2017)
José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) (2017)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI (2016)
Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco
Thermal comfort estimation using a neurocomputational model. LA-CCI (2016)
Iván Gómez, Nuria Ribelles, Leonardo Franco, Emilio Alba, José M. Jerez
Supervised discretization can discover risk groups in cancer survival analysis. Comput. Methods Programs Biomed. 136 (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio Alejandro Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. IEEE Trans. Parallel Distributed Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. CoRR (2016)
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. IWANN (2) (2015)
Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Comput. 19 (9) (2015)
Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
Computational Intelligence Techniques in Medicine. Comput. Math. Methods Medicine 2015 (2015)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco
High precision FPGA implementation of neural network activation functions. IES (2014)
Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10 (2) (2014)
Francisco Ortega-Zamorano, José M. Jerez, José Luis Subirats, Ignacio Molina, Leonardo Franco
Smart sensor/actuator node reprogramming in changing environments using a neural network model. Eng. Appl. Artif. Intell. 30 (2014)
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB (2014)
Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics 49 (2014)
Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO (2013)
Francisco Ortega-Zamorano, José Luis Subirats, José M. Jerez, Ignacio Molina, Leonardo Franco
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. IWANN (1) (2013)
José Luis Subirats, Leonardo Franco, José M. Jerez
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26 (2012)
Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco
Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) (2012)
Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) (2011)
José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif. Intell. Medicine 50 (2) (2010)
José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. Cogn. Comput. 2 (4) (2010)
Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. ISNN (1) (2010)
Iván Gómez, Leonardo Franco, José M. Jerez
Neural Network Architecture Selection: Can Function Complexity Help? Neural Process. Lett. 30 (2) (2009)
José Luis Subirats, José M. Jerez, Leonardo Franco
A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2008)
José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez
Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) (2008)
Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. Biol. Cybern. 96 (6) (2007)
Leonardo Franco, José Luis Subirats, José M. Jerez
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. ICANN (1) (2007)
Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. IWANN (2007)
Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN (2006)
Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez
Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) (2006)
José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco
Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) (2006)
Leonardo Franco, José M. Jerez, José M. Bravo
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN (2005)
Leonardo Franco, José M. Jerez, Emilio Alba
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN (2005)
Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante
RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. 13 (4) (2004)
José M. Jerez, Leonardo Franco, Ignacio Molina
CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) (2003)