Un Modelo para la Prediccion de Recidiva de Pacientes Operados de Cancer de Mama (CMO) Basado en Redes Neuronales. - José Antonio Gómez-Ruiz; José M. Jerez-Aragonés; José Muñoz-Pérez; Emilio Alba-Conejo (Inteligencia Artif., 2000)

A Neuro-fuzzy Decision Model for Prognosis of Breast Cancer Relapse. - José M. Jerez-Aragonés; José Ignacio Peláez Sánchez; Jesús M. Doña; Enrique Alba 001 (CAEPIA, 2003)

Neural Network Algorithms for the p-Median Problem. - Enrique Domínguez Merino; José Muñoz-Pérez; José M. Jerez-Aragonés (ESANN, 2003)

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. - José M. Jerez-Aragonés; Miguel A. Atencia Ruiz; Francisco J. Vico; Enrique Domínguez Merino (IWANN (1), 2003)

CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. - José M. Jerez; Leonardo Franco; Ignacio Molina (IWANN (1), 2003)

A combined neural network and decision trees model for prognosis of breast cancer relapse. - José M. Jerez-Aragonés; José Antonio Gómez-Ruiz; Gonzalo Ramos-Jiménez; José Muñoz-Pérez; Emilio Alba-Conejo (Artif. Intell. Medicine, 2003)

Stable Neural Attractors Formation: Learning Rules and Network Dynamics. - Francisco J. Vico; José M. Jerez-Aragonés (Neural Process. Lett., 2003)

A Neural Network Based Model for Prognosis of Early Breast Cancer. - José Antonio Gómez-Ruiz; José M. Jerez-Aragonés; José Muñoz-Pérez; Emilio Alba-Conejo (Appl. Intell., 2004)

RealNet: a neural network architecture for real-time systems scheduling. - Enrique Domínguez; José M. Jerez; Luis Llopis; Arturo Morante (Neural Comput. Appl., 2004)

Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. - Leonardo Franco; José M. Jerez; Emilio Alba (ESANN, 2005)

Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. - Leonardo Franco; José M. Jerez; José M. Bravo (IWANN, 2005)

A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. - José M. Jerez-Aragonés; Miguel A. Atencia Ruiz (Neural Process. Lett., 2005)

Neural Network Architecture Selection: Size Depends on Function Complexity. - Iván Gómez; Leonardo Franco; José Luis Subirats; José M. Jerez (ICANN (1), 2006)

Optimal Synthesis of Boolean Functions by Threshold Functions. - José Luis Subirats; Iván Gómez; José M. Jerez; Leonardo Franco (ICANN (1), 2006)

A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. - Leonardo Franco; José Luis Subirats; Martin Anthony; José M. Jerez (IJCNN, 2006)

MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. - Leonardo Franco; José Luis Subirats; José M. Jerez (ICANN (1), 2007)

Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. - Leonardo Franco; José Luis Subirats; Ignacio Molina; Emilio Alba; José M. Jerez (IWANN, 2007)

Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. - Leonardo Franco; Edmund T. Rolls; Nikolaos C. Aggelopoulos; José M. Jerez (Biol. Cybern., 2007)

Active Learning Using a Constructive Neural Network Algorithm. - José Luis Subirats; Leonardo Franco; Ignacio Molina Conde; José M. Jerez (ICANN (2), 2008)

A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. - José Luis Subirats; José M. Jerez; Leonardo Franco (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Neural Network Architecture Selection: Can Function Complexity Help? - Iván Gómez; Leonardo Franco; José M. Jerez (Neural Process. Lett., 2009)

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; David A. Elizondo; Leonardo Franco; José M. Jerez (Constructive Neural Networks, 2009)

Active Learning Using a Constructive Neural Network Algorithm. - José Luis Subirats; Leonardo Franco; Ignacio Molina; José M. Jerez (Constructive Neural Networks, 2009)

Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. - Daniel Urda; José Luis Subirats; Leonardo Franco; José Manuel Jerez (IEA/AIE (1), 2010)

Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. - Iván Gómez; Leonardo Franco; José M. Jerez; José Luis Subirats (ISNN (1), 2010)

Missing data imputation using statistical and machine learning methods in a real breast cancer problem. - José M. Jerez; Ignacio Molina; Pedro J. García-Laencina; Emilio Alba; Nuria Ribelles; Miguel Martín; Leonardo Franco (Artif. Intell. Medicine, 2010)

Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. - José Luis Subirats; José M. Jerez; Iván Gómez; Leonardo Franco (Cogn. Comput., 2010)

Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. - Yasel Couce; Leonardo Franco; Daniel Urda; José Luis Subirats; José M. Jerez (IWANN (2), 2011)

Data Discretization Using the Extreme Learning Machine Neural Network. - Juan Jesús Carneros; José M. Jerez; Iván Gómez; Leonardo Franco (ICONIP (4), 2012)

WIMP: Web server tool for missing data imputation. - Daniel Urda; José Luis Subirats; Pedro J. García-Laencina; Leonardo Franco; José-Luis Sancho-Gómez; José Manuel Jerez (Comput. Methods Programs Biomed., 2012)

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. - José Luis Subirats; Leonardo Franco; José M. Jerez (Neural Networks, 2012)

A Self-organizing Map for Traffic Flow Monitoring. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban José Palomo; José Manuel Jerez (IWANN (2), 2013)

Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. - Francisco Ortega-Zamorano; José Luis Subirats; José M. Jerez; Ignacio Molina; Leonardo Franco (IWANN (1), 2013)

Committee C-Mantec: A Probabilistic Constructive Neural Network. - José Luis Subirats; Rafael Marcos Luque Baena; Daniel Urda; Francisco Ortega-Zamorano; José Manuel Jerez; Leonardo Franco (IWANN (1), 2013)

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. - Daniel Urda; Rafael Marcos Luque; María Jesús Jiménez-Come; Ignacio Turias Domínguez; Leonardo Franco; José Manuel Jerez (IWANN (1), 2013)

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. - Rafael Marcos Luque Baena; Daniel Urda; José Luis Subirats; Leonardo Franco; José M. Jerez (IWBBIO, 2013)

Addressing critical issues in the development of an Oncology Information System. - Daniel Urda; Nuria Ribelles; José Luis Subirats; Leonardo Franco; Emilio Alba; José Manuel Jerez (Int. J. Medical Informatics, 2013)

Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. - Daniel Urda; Simon J. Chambers; Ian H. Jarman; Paulo J. G. Lisboa; Leonardo Franco; José M. Jerez (CIBB, 2014)

High precision FPGA implementation of neural network activation functions. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Jorge O. Perez; Leonardo Franco (IES, 2014)

Smart sensor/actuator node reprogramming in changing environments using a neural network model. - Francisco Ortega-Zamorano; José M. Jerez; José Luis Subirats; Ignacio Molina; Leonardo Franco (Eng. Appl. Artif. Intell., 2014)

Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. - Rafael Marcos Luque Baena; Daniel Urda; M. Gonzalo Claros; Leonardo Franco; José M. Jerez (J. Biomed. Informatics, 2014)

FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Leonardo Franco (IEEE Trans. Ind. Informatics, 2014)

FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (IWANN (2), 2015)

Computational Intelligence Techniques in Medicine. - Ezequiel López-Rubio; David A. Elizondo; Martin Grootveld; José M. Jerez; Rafael M. Luque-Baena (Comput. Math. Methods Medicine, 2015)

A self-organizing map to improve vehicle detection in flow monitoring systems. - Rafael Marcos Luque Baena; Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo; José M. Jerez (Soft Comput., 2015)

Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (DCAI, 2016)

Thermal comfort estimation using a neurocomputational model. - Jose Rodriguez-Alabarce; Francisco Ortega-Zamorano; José M. Jerez; Kusha Ghoreishi; Leonardo Franco (LA-CCI, 2016)

Supervised discretization can discover risk groups in cancer survival analysis. - Iván Gómez; Nuria Ribelles; Leonardo Franco; Emilio Alba; José M. Jerez (Comput. Methods Programs Biomed., 2016)

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. - Francisco Ortega-Zamorano; José M. Jerez; Daniel Urda; Rafael M. Luque-Baena; Leonardo Franco (IEEE Trans. Neural Networks Learn. Syst., 2016)

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. - Francisco Ortega-Zamorano; Marcelo A. Montemurro; Sergio Alejandro Cannas; José M. Jerez; Leonardo Franco (IEEE Trans. Parallel Distributed Syst., 2016)

Machine learning models to search relevant genetic signatures in clinical context. - Daniel Urda; Rafael Marcos Luque Baena; Leonardo Franco; José M. Jerez; Noelia Sánchez-Maroño (IJCNN, 2017)

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. - José Luis Subirats; Héctor Mesa; Francisco Ortega-Zamorano; Gustavo Juárez; José M. Jerez; Ignacio J. Turias; Leonardo Franco (IWANN (1), 2017)

Deep Learning to Analyze RNA-Seq Gene Expression Data. - Daniel Urda; Julio Montes-Torres; Fernando Moreno; Leonardo Franco; José M. Jerez (IWANN (2), 2017)

L_1 L 1 -regularization Model Enriched with Biological Knowledge. - Daniel Urda; Francisco Aragón; Leonardo Franco; Francisco J. Veredas 001; José M. Jerez (IWBBIO (1), 2017)

Classification of high dimensional data using LASSO ensembles. - Daniel Urda; Leonardo Franco; José M. Jerez (SSCI, 2017)

Layer multiplexing FPGA implementation for deep back-propagation learning. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (Integr. Comput. Aided Eng., 2017)

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (Neural Process. Lett., 2017)

Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. - Daniel Urda; José M. Jerez; Ignacio J. Turias (SoMeT, 2018)

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

BLASSO: integration of biological knowledge into a regularized linear model. - Daniel Urda; Francisco Aragón; Rocío Bautista; Leonardo Franco; Francisco J. Veredas 001; Manuel Gonzalo Claros; José Manuel Jerez (BMC Syst. Biol., 2018)

MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. - Guillermo López-García; José M. Jerez; Daniel Urda; Francisco J. Veredas 001 (IJCNN, 2019)

A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. - Guillermo López-García; José M. Jerez; Leonardo Franco; Francisco J. Veredas 001 (IWANN (1), 2019)

ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT. - Guillermo López-García; José M. Jerez; Francisco J. Veredas 001 (CLEF (Working Notes), 2020)

ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT. - Guillermo López-García; José M. Jerez; Francisco José Veredas 001 (IberLEF@SEPLN, 2020)

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

Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. - Iván Gómez; Héctor Mesa; Francisco Ortega-Zamorano; José M. Jerez-Aragonés; Leonardo Franco (Neural Comput. Appl., 2020)

Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. - Guillermo López-García; José M. Jerez; Nuria Ribelles; Emilio Alba; Francisco J. Veredas 001 (IWANN (1), 2021)

Transformers for Clinical Coding in Spanish. - Guillermo López-García; José M. Jerez; Nuria Ribelles; Emilio Alba; Francisco J. Veredas 001 (IEEE Access, 2021)

Deep neural networks architecture driven by problem-specific information. - Daniel Urda; Francisco J. Veredas 001; Javier González-Enrique; Juan J. Ruiz-Aguilar; José M. Jerez; Ignacio J. Turias (Neural Comput. Appl., 2021)

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)

Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). - Javier González-Enrique; Juan Jesús Ruiz-Aguilar; Eduardo Madrid Navarro; Rosa Martínez Álvarez-Castellanos; Ivan Felis Enguix; José M. Jerez; Ignacio J. Turias (SOCO, 2022)

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

Explainable clinical coding with in-domain adapted transformers. - Guillermo López-García; José M. Jerez; Nuria Ribelles; Emilio Alba; Francisco J. Veredas 001 (J. Biomed. Informatics, 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)

Artificial Intelligence for Natural Language Processing of Clinical Text in Spanish for Real-World-Data Analysis (Text2RWD Project). - Francisco J. Veredas 001; Fernando Gallego Donoso; Guillermo López-García; Nuria Ribelles; Emilio Alba; José M. Jerez (SEPLN (Projects and Demonstrations), 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)