Francisco J. Veredas

Luis Gascó Sánchez

Martin Krallinger

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Explainable clinical coding with in-domain adapted transformers.

[BibT_eX]

[DOI]

J. Biomed. Informatics, March, 2023

Named Entity Recognition for De-identifying Real-World Health Records in Spanish.

[BibT_eX]

[DOI]

Francisco J. Moreno-Barea

Proceedings of the Computational Science - ICCS 2023, 2023

2021

Deep neural networks architecture driven by problem-specific information.

[BibT_eX]

[DOI]

Daniel Urda

Javier González-Enrique

Juan J. Ruiz-Aguilar

Ignacio J. Turias

Neural Comput. Appl., 2021

Transformers for Clinical Coding in Spanish.

[BibT_eX]

[DOI]

IEEE Access, 2021

Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2020, 2020

2019

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

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders.

[BibT_eX]

[DOI]

Leonardo Franco

Proceedings of the Advances in Computational Intelligence, 2019

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

[BibT_eX]

[DOI]

Daniel Urda

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

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

[BibT_eX]

[DOI]

Manuel Gonzalo Claros

José Manuel Jerez

BMC Syst. Biol., 2018

2017

A machine learning approach for predicting methionine oxidation sites.

[BibT_eX]

[DOI]

Juan Carlos Aledo

Francisco R. Cantón

BMC Bioinform., 2017

L_1 L 1 -regularization Model Enriched with Biological Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Prediction of Protein Oxidation Sites.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2015

Wound image evaluation with machine learning.

[BibT_eX]

[DOI]

Francisco J. Martín-Santos

Rafael M. Luque-Baena

Juan C. Morilla-Herrera

Neurocomputing, 2015

2014

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

[BibT_eX]

[DOI]

Esperanza Ruiz-Bandera

Francisca Villa-Estrada

Juan F. Rufino-González

Comput. Methods Programs Biomed., 2014

2013

Computer-Aided Diagnosis in Wound Images with Neural Networks.

[BibT_eX]

[DOI]

María Navas

Rafael M. Luque-Baena

Proceedings of the Advances in Computational Intelligence, 2013

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

[BibT_eX]

Proceedings of the HEALTHINF 2013, 2013

2011

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

[BibT_eX]

Proceedings of the HEALTHINF 2011, 2011

2010

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2010

Predicting the Evolution of Pressure Ulcers.

[BibT_eX]

Proceedings of the HEALTHINF 2010, 2010

2009

A hybrid learning approach to tissue recognition in wound images.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2008

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

[BibT_eX]

[DOI]

Luis A. Martínez

Neural Networks, 2008

A Hybrid Approach for Tissue Recognition on Wound Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Luis A. Martínez

Proceedings of the Artificial Neural Networks, 2007

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

2006

Evolving networks of integrate-and-fire neurons.

[BibT_eX]

[DOI]

Francisco J. Vico

José M. Alonso

Neurocomputing, 2006

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

[BibT_eX]

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.

[BibT_eX]

[DOI]