Francisco J. Veredas

According to our database, Francisco J. Veredas authored at least 37 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Explainable clinical coding with in-domain adapted transformers.

Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas

J. Biomed. Informatics, March, 2023

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

Proceedings of the Computational Science - ICCS 2023, 2023

2021

Deep neural networks architecture driven by problem-specific information.

Daniel Urda, Francisco J. Veredas, Javier González-Enrique, Juan J. Ruiz-Aguilar, José M. Jerez, Ignacio J. Turias

Neural Comput. Appl., 2021

Transformers for Clinical Coding in Spanish.

Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas

IEEE Access, 2021

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

Proceedings of the Advances in Computational Intelligence, 2021

2020

Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins.

Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo

Neural Comput. Appl., 2020

ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT.

Guillermo López-García, José M. Jerez, Francisco José Veredas

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

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

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Addition of Pathway-Based Information to Improve Predictions in Transcriptomics.

Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco

Proceedings of the Bioinformatics and Biomedical Engineering, 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

Proceedings of the Advances in Computational Intelligence, 2019

MetODeep: A Deep Learning Approach for Prediction of Methionine Oxidation Sites in Proteins.

Guillermo López-García, José M. Jerez, Daniel Urda, Francisco J. Veredas

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

BLASSO: integration of biological knowledge into a regularized linear model.

Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez

BMC Syst. Biol., 2018

2017

A machine learning approach for predicting methionine oxidation sites.

Juan Carlos Aledo, Francisco R. Cantón, Francisco J. Veredas

BMC Bioinform., 2017

L_1 L 1 -regularization Model Enriched with Biological Knowledge.

Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Prediction of Protein Oxidation Sites.

Francisco J. Veredas, Francisco R. Cantón, Juan Carlos Aledo

Proceedings of the Advances in Computational Intelligence, 2017

2015

Efficient detection of wound-bed and peripheral skin with statistical colour models.

Francisco J. Veredas, Héctor Mesa, Laura Morente

Medical Biol. Eng. Comput., 2015

Wound image evaluation with machine learning.

Francisco J. Veredas, Rafael M. Luque-Baena, Francisco J. Martín-Santos, Juan C. Morilla-Herrera, Laura Morente

Neurocomputing, 2015

2014

A web-based e-learning application for wound diagnosis and treatment.

Francisco J. Veredas, Esperanza Ruiz-Bandera, Francisca Villa-Estrada, Juan F. Rufino-González, Laura Morente

Comput. Methods Programs Biomed., 2014

2013

Computer-Aided Diagnosis in Wound Images with Neural Networks.

María Navas, Rafael M. Luque-Baena, Laura Morente, David Coronado, Rafael Rodríguez, Francisco J. Veredas

Proceedings of the Advances in Computational Intelligence, 2013

ePULab - An Adaptive e-Learning Tool for Pressure Ulcer Evaluation.

Laura Morente, Francisco J. Veredas

Proceedings of the HEALTHINF 2013, 2013

2011

PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers.

Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris

Proceedings of the HEALTHINF 2011, 2011

2010

Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers.

Francisco J. Veredas, Héctor Mesa, Laura Morente

IEEE Trans. Medical Imaging, 2010

Predicting the Evolution of Pressure Ulcers.

Francisco J. Veredas, Héctor Mesa, Juan C. Morilla, Laura Morente

Proceedings of the HEALTHINF 2010, 2010

2009

A hybrid learning approach to tissue recognition in wound images.

Francisco J. Veredas, Héctor Mesa, Laura Morente

Int. J. Intell. Comput. Cybern., 2009

Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks.

Francisco J. Veredas, Héctor Mesa, Laura Morente

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

Imprecise correlated activity in self-organizing maps of spiking neurons.

Francisco J. Veredas, Héctor Mesa, Luis A. Martínez

Neural Networks, 2008

A Hybrid Approach for Tissue Recognition on Wound Images.

Héctor Mesa, Francisco J. Veredas, Laura Morente

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing.

Francisco J. Veredas, Luis A. Martínez, Héctor Mesa

Proceedings of the Artificial Neural Networks, 2007

Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity.

Héctor Mesa, Francisco J. Veredas

Proceedings of the Artificial Neural Networks, 2007

2006

Evolving networks of integrate-and-fire neurons.

Francisco J. Veredas, Francisco J. Vico, José M. Alonso

Neurocomputing, 2006

Optimized synaptic conductance model for integrate-and-fire neurons.

Francisco J. Veredas, Héctor Mesa

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Estudio de la influencia de factores fisiologicos y de conectividad de red en la correlacion de actividad entre pares de neuronas de integracion y disparo.

Francisco J. Veredas, Francisco J. Vico, José M. Alonso

Inteligencia Artif., 2005

A Competitive-Based Method for Determining the Number of Groups: A Clinical Application.

Antonio Sánchez, Francisco J. Vico, Santiago Cabello, Francisco J. Veredas, Yamina Seamari, Isaac López, Javier Farfán, Guillermo García-Herrera

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2001

Animal-like adaptive behavior.

Francisco J. Vico, P. Mir, Francisco J. Veredas, J. de La Torre

Artif. Intell. Eng., 2001

2000

Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network.

O. R. Manzano, Francisco J. Veredas, M. J. Guillen, Francisco J. Vico, J. Roman

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999

Automatic design synthesis with artificial intelligence techniques.

Francisco J. Vico, Francisco J. Veredas, José Manuel Bravo, J. Almaraz

Artif. Intell. Eng., 1999

1998

Computación evolutiva basada en un modelo de codificación implícita.

Francisco J. Veredas, Francisco J. Vico

Inteligencia Artif., 1998