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ORCIDJosé M. Jerez
José Manuel Jerez – José M. Jerez-Aragonés
Person information
- affiliation: University of Málaga, Spain
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2020 – today
- 2024
[c45]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: 19-27- [c44]Francisco J. Veredas, Fernando Gallego Donoso, 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: 6-11 - 2023
- [j30]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: 104323 (2023) - [c43]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: 228-242 - [c42]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: 482-496 - 2022
- [c41]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: 28-42 - [c40]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: 72-85 - [c39]Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco:
Data Augmentation Meta-Classifier Scheme for imbalanced data sets. SSCI 2022: 1392-1399 - 2021
- [j29]Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas:
Transformers for Clinical Coding in Spanish. IEEE Access 9: 72387-72397 (2021) - [j28]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): 9403-9423 (2021) - [c38]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: 24-35 - 2020
- [j27]Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco:
Improving classification accuracy using data augmentation on small data sets. Expert Syst. Appl. 161: 113696 (2020) - [j26]Iván Gómez, Héctor Mesa, Francisco Ortega-Zamorano, José M. Jerez-Aragonés, Leonardo Franco:
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. Neural Comput. Appl. 32(13): 8955-8963 (2020) - [c37]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 - [c36]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: 468-476
2010 – 2019
- 2019
- [c35]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: 1-8 - [c34]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: 912-924 - 2018
- [j25]Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez:
BLASSO: integration of biological knowledge into a regularized linear model. BMC Syst. Biol. 12(5): 13-26 (2018) - [c33]Daniel Urda, José M. Jerez, Ignacio J. Turias:
Data Dimension and Structure Effects in Predictive Performance of Deep Neural Networks. SoMeT 2018: 361-372 - [c32]Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco:
Forward Noise Adjustment Scheme for Data Augmentation. SSCI 2018: 728-734 - 2017
- [j24]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): 171-185 (2017) - [j23]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): 899-914 (2017) - [c31]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: 1649-1656 - [c30]Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez:
Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) 2017: 50-59 - [c29]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: 52-61 - [c28]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: 579-590 - [c27]Daniel Urda, Leonardo Franco, José M. Jerez:
Classification of high dimensional data using LASSO ensembles. SSCI 2017: 1-7 - 2016
- [j22]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: 11-19 (2016) - [j21]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): 1840-1850 (2016) - [j20]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): 2618-2627 (2016) - [c26]Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco:
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI 2016: 79-86 - [c25]Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco:
Thermal comfort estimation using a neurocomputational model. LA-CCI 2016: 1-5 - [i1]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 abs/1602.03016 (2016) - 2015
- [j19]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: 196976:1-196976:2 (2015) - [j18]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): 2499-2509 (2015) - [c24]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: 197-208 - 2014
- [j17]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: 179-188 (2014) - [j16]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: 32-44 (2014) - [j15]Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco:
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10(2): 1154-1161 (2014) - [c23]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: 199-206 - [c22]Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco:
High precision FPGA implementation of neural network activation functions. IES 2014: 55-60 - 2013
- [j14]Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez:
Addressing critical issues in the development of an Oncology Information System. Int. J. Medical Informatics 82(5): 398-407 (2013) - [c21]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: 80-87 - [c20]Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez:
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. IWANN (1) 2013: 88-95 - [c19]José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco:
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) 2013: 339-346 - [c18]Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez, Esteban José Palomo, José Manuel Jerez:
A Self-organizing Map for Traffic Flow Monitoring. IWANN (2) 2013: 458-466 - [c17]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: 55-63 - 2012
- [j13]Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez:
WIMP: Web server tool for missing data imputation. Comput. Methods Programs Biomed. 108(3): 1247-1254 (2012) - [j12]José Luis Subirats, Leonardo Franco, José M. Jerez:
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26: 130-140 (2012) - [c16]Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco:
Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) 2012: 281-288 - 2011
- [c15]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: 202-209 - 2010
- [j11]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): 105-115 (2010) - [j10]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): 285-290 (2010) - [c14]Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez:
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. IEA/AIE (1) 2010: 317-326 - [c13]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: 86-94
2000 – 2009
- 2009
- [j9]Iván Gómez, Leonardo Franco, José M. Jerez:
Neural Network Architecture Selection: Can Function Complexity Help? Neural Process. Lett. 30(2): 71-87 (2009) - [p2]Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23 - [p1]José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206 - [e1]Leonardo Franco, David A. Elizondo, José M. Jerez:
Constructive Neural Networks. Studies in Computational Intelligence 258, Springer 2009, ISBN 978-3-642-04511-0 [contents] - 2008
- [j8]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. 55-I(10): 3188-3196 (2008) - [c12]José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811 - 2007
- [j7]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): 547-560 (2007) - [c11]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: 648-656 - [c10]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: 1004-1011 - 2006
- [c9]Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez:
Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129 - [c8]José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco:
Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992 - [c7]Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez:
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796 - 2005
- [j6]José M. Jerez-Aragonés, Miguel A. Atencia Ruiz:
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. Neural Process. Lett. 21(1): 1-20 (2005) - [c6]Leonardo Franco, José M. Jerez, Emilio Alba:
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102 - [c5]Leonardo Franco, José M. Jerez, José M. Bravo:
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN 2005: 1-8 - 2004
- [j5]José Antonio Gómez-Ruiz, José M. Jerez-Aragonés, José Muñoz-Pérez, Emilio Alba-Conejo:
A Neural Network Based Model for Prognosis of Early Breast Cancer. Appl. Intell. 20(3): 231-238 (2004) - [j4]Enrique Domínguez, José M. Jerez, Luis Llopis, Arturo Morante:
RealNet: a neural network architecture for real-time systems scheduling. Neural Comput. Appl. 13(4): 281-287 (2004) - 2003
- [j3]José M. Jerez-Aragonés, José Antonio Gómez-Ruiz, Gonzalo Ramos-Jiménez, José Muñoz-Pérez, Emilio Alba-Conejo:
A combined neural network and decision trees model for prognosis of breast cancer relapse. Artif. Intell. Medicine 27(1): 45-63 (2003) - [j2]Francisco J. Vico, José M. Jerez-Aragonés:
Stable Neural Attractors Formation: Learning Rules and Network Dynamics. Neural Process. Lett. 18(1): 1-16 (2003) - [c4]José M. Jerez-Aragonés, José Ignacio Peláez Sánchez, Jesús M. Doña, Enrique Alba:
A Neuro-fuzzy Decision Model for Prognosis of Breast Cancer Relapse. CAEPIA 2003: 638-645 - [c3]Enrique Domínguez Merino, José Muñoz-Pérez, José M. Jerez-Aragonés:
Neural Network Algorithms for the p-Median Problem. ESANN 2003: 385-392 - [c2]José M. Jerez-Aragonés, Miguel A. Atencia Ruiz, Francisco J. Vico, Enrique Domínguez Merino:
A Learning Rule to Model the Development of Orientation Selectivity in Visual Cortex. IWANN (1) 2003: 190-197 - [c1]José M. Jerez, Leonardo Franco, Ignacio Molina:
CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741 - 2000
- [j1]José Antonio Gómez-Ruiz, José M. Jerez-Aragonés, José Muñoz-Pérez, Emilio Alba-Conejo:
Un Modelo para la Prediccion de Recidiva de Pacientes Operados de Cancer de Mama (CMO) Basado en Redes Neuronales. Inteligencia Artif. 4(11): 39-45 (2000)
Coauthor Index
Emilio Alba
aka: Emilio Alba-Conejo
aka: Emilio Alba-Conejo
[c45] [c41] [c39] [j27] [j26] [c34] [j25] [c32] [j24] [j23] [c31] [c30] [c29] [c28] [c27] [j22] [j21] [j20] [c26] [c25] [i1] [c24] [j17] [j16] [j15] [c23] [c22] [j14] [c21] [c20] [c19] [c17] [j13] [j12] [c16] [c15] [j11] [j10] [c14] [c13] [j9] [p2] [p1] [e1] [j8] [c12] [j7] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c1]
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