José M. Jerez

66 papers B 4C 2Misc 3Journal 25Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ICD-10 Neoplasm Location Using Text Classification Models in Spanish Electronic Health Records. IEEE J. Biomed. Health Informatics Francisco J. Moreno-Barea, Alejandro Pascual-Mellado, Héctor Mesa, Beatriz Villaescusa-González, Emilio Alba, José M. Jerez
2025	J	`jnl`	Efficient thermal comfort estimation employing the C-Mantec constructive neural network model. Soft Comput. Francisco Ortega-Zamorano, José M. Jerez, Jose Rodriguez-Alabarce, Kusha Ghoreishi, Leonardo Franco
2025	J	`jnl`	Named entity recognition for de-identifying Spanish electronic health records. Comput. Biol. Medicine Francisco J. Moreno-Barea, Guillermo López-García, Héctor Mesa, Nuria Ribelles, Emilio Alba, José M. Jerez, Francisco J. Veredas
2024	—	`conf`	Artificial Intelligence for Natural Language Processing of Clinical Text in Spanish for Real-World-Data Analysis (Text2RWD Project). SEPLN (Projects and Demonstrations) Francisco J. Veredas, Fernando Gallego Donoso, Guillermo López-García, Nuria Ribelles, Emilio Alba, José M. Jerez
2024	—	`conf`	Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. ICCS (6) Francisco J. Moreno-Barea, José M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco
2023	—	`conf`	Clinical Text Classification in Cancer Real-World Data in Spanish. IWBBIO (1) Francisco J. Moreno-Barea, Héctor Mesa, Nuria Ribelles, Emilio Alba, José M. Jerez
2023	J	`jnl`	Explainable clinical coding with in-domain adapted transformers. J. Biomed. Informatics Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
2023	—	`conf`	Named Entity Recognition for De-identifying Real-World Health Records in Spanish. ICCS (3) Guillermo López-García, Francisco J. Moreno-Barea, Héctor Mesa, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
2022	—	`conf`	Data Augmentation Meta-Classifier Scheme for imbalanced data sets. SSCI Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2022	—	`conf`	Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). SOCO Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias
2022	—	`conf`	GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. ICCS (3) Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2021	J	`jnl`	Deep neural networks architecture driven by problem-specific information. Neural Comput. Appl. Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, Ignacio J. Turias
2021	—	`conf`	Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. IWANN (1) Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
2021	J	`jnl`	Transformers for Clinical Coding in Spanish. IEEE Access Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
2020	—	`conf`	ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT. IberLEF@SEPLN Guillermo López-García, José M. Jerez, Francisco José Veredas
2020	—	`conf`	ICB-UMA at CLEF e-Health 2020 Task 1: Automatic ICD-10 coding in Spanish with BERT. CLEF (Working Notes) Guillermo López-García, José M. Jerez, Francisco J. Veredas
2020	J	`jnl`	Improving classification accuracy using data augmentation on small data sets. Expert Syst. Appl. Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2019	—	`conf`	A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. IWANN (1) Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas
2019	B	`conf`	MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins. IJCNN Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas
2018	C	`conf`	Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT Daniel Urda, José M. Jerez, Ignacio J. Turias
2018	—	`conf`	Forward Noise Adjustment Scheme for Data Augmentation. SSCI Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
2017	—	`conf`	Classification of high dimensional data using LASSO ensembles. SSCI Daniel Urda, Leonardo Franco, José M. Jerez
2017	—	`conf`	Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
2017	J	`jnl`	FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. Neural Process. Lett. Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
2017	—	`conf`	L_1 L 1 -regularization Model Enriched with Biological Knowledge. IWBBIO (1) Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
2017	J	`jnl`	Layer multiplexing FPGA implementation for deep back-propagation learning. Integr. Comput. Aided Eng. Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
2017	B	`conf`	Machine learning models to search relevant genetic signatures in clinical context. IJCNN Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
2017	—	`conf`	Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
2016	Misc	`conf`	Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
2016	J	`jnl`	Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
2016	J	`jnl`	FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. CoRR Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, José M. Jerez, Leonardo Franco
2016	J	`jnl`	FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. IEEE Trans. Parallel Distributed Syst. Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio Alejandro Cannas, José M. Jerez, Leonardo Franco
2016	J	`jnl`	Supervised discretization can discover risk groups in cancer survival analysis. Comput. Methods Programs Biomed. Iván Gómez, Nuria Ribelles, Leonardo Franco, Emilio Alba, José M. Jerez
2016	—	`conf`	Thermal comfort estimation using a neurocomputational model. LA-CCI Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco
2015	J	`jnl`	A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Comput. Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo, José M. Jerez
2015	J	`jnl`	Computational Intelligence Techniques in Medicine. Comput. Math. Methods Medicine Ezequiel López-Rubio, David A. Elizondo, Martin Grootveld, José M. Jerez, Rafael M. Luque-Baena
2015	—	`conf`	FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. IWANN (2) Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
2014	J	`jnl`	FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco
2014	C	`conf`	High precision FPGA implementation of neural network activation functions. IES Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco
2014	J	`jnl`	Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
2014	J	`jnl`	Smart sensor/actuator node reprogramming in changing environments using a neural network model. Eng. Appl. Artif. Intell. Francisco Ortega-Zamorano, José M. Jerez, José Luis Subirats, Ignacio Molina, Leonardo Franco
2014	—	`conf`	Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
2013	—	`conf`	Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
2013	—	`conf`	Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. IWANN (1) Francisco Ortega-Zamorano, José Luis Subirats, José M. Jerez, Ignacio Molina, Leonardo Franco
2012	J	`jnl`	C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks José Luis Subirats, Leonardo Franco, José M. Jerez
2012	—	`conf`	Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco
2011	—	`conf`	Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
2010	—	`conf`	Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. ISNN (1) Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats
2010	J	`jnl`	Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif. Intell. Medicine José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
2010	J	`jnl`	Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. Cogn. Comput. José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco
2009	—	`ch.`	Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez
2009	—	`ch.`	Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez
2009	—	`book`	Constructive Neural Networks Constructive Neural Networks Leonardo Franco, David A. Elizondo, José M. Jerez
2009	J	`jnl`	Neural Network Architecture Selection: Can Function Complexity Help? Neural Process. Lett. Iván Gómez, Leonardo Franco, José M. Jerez
2008	J	`jnl`	A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. IEEE Trans. Circuits Syst. I Regul. Pap. José Luis Subirats, José M. Jerez, Leonardo Franco
2008	—	`conf`	Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez
2007	Misc	`conf`	Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. IWANN Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez
2007	—	`conf`	MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. ICANN (1) Leonardo Franco, José Luis Subirats, José M. Jerez
2007	J	`jnl`	Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. Biol. Cybern. Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez
2006	B	`conf`	A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez
2006	—	`conf`	Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez
2006	—	`conf`	Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco
2005	B	`conf`	Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN Leonardo Franco, José M. Jerez, Emilio Alba
2005	Misc	`conf`	Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN Leonardo Franco, José M. Jerez, José M. Bravo
2004	J	`jnl`	RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante
2003	—	`conf`	CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) José M. Jerez, Leonardo Franco, Ignacio Molina