Francisco J. Veredas

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 20

Top Topics

Natural Language Processing

Machine Learning

Subcellular Localization

Biological Knowledge

Top Venues

Neural Comput. Appl.

Publications

Fernando Gallego, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. CoRR (2024)
Francisco J. Veredas, Fernando Gallego, 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)
Pedro Ruas, Fernando Gallego, Francisco J. Veredas, Francisco M. Couto
Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking. CoRR (2024)
Fernando Gallego, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. ICCS (5) (2024)
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 (2023)
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)
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)
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) (2021)
Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas
Transformers for Clinical Coding in Spanish. IEEE Access 9 (2021)
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)
Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo
Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins. Neural Comput. Appl. 32 (2) (2020)
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)
Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) (2019)
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)
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) (2018)
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)
Francisco J. Veredas, Francisco R. Cantón, Juan Carlos Aledo
Prediction of Protein Oxidation Sites. IWANN (2) (2017)
Juan Carlos Aledo, Francisco R. Cantón, Francisco J. Veredas
A machine learning approach for predicting methionine oxidation sites. BMC Bioinform. 18 (1) (2017)
Francisco J. Veredas, Rafael M. Luque-Baena, Francisco J. Martín-Santos, Juan C. Morilla-Herrera, Laura Morente
Wound image evaluation with machine learning. Neurocomputing 164 (2015)
Francisco J. Veredas, Héctor Mesa, Laura Morente
Efficient detection of wound-bed and peripheral skin with statistical colour models. Medical Biol. Eng. Comput. 53 (4) (2015)
Francisco J. Veredas, Esperanza Ruiz-Bandera, Francisca Villa-Estrada, Juan F. Rufino-González, Laura Morente
A web-based e-learning application for wound diagnosis and treatment. Comput. Methods Programs Biomed. 116 (3) (2014)
Laura Morente, Francisco J. Veredas
ePULab - An Adaptive e-Learning Tool for Pressure Ulcer Evaluation. HEALTHINF (2013)
María Navas, Rafael M. Luque-Baena, Laura Morente, David Coronado, Rafael Rodríguez, Francisco J. Veredas
Computer-Aided Diagnosis in Wound Images with Neural Networks. IWANN (2) (2013)
Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris
PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers. HEALTHINF (2011)
Francisco J. Veredas, Héctor Mesa, Laura Morente
Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers. IEEE Trans. Medical Imaging 29 (2) (2010)
Francisco J. Veredas, Héctor Mesa, Juan C. Morilla, Laura Morente
Predicting the Evolution of Pressure Ulcers. HEALTHINF (2010)
Francisco J. Veredas, Héctor Mesa, Laura Morente
A hybrid learning approach to tissue recognition in wound images. Int. J. Intell. Comput. Cybern. 2 (2) (2009)
Francisco J. Veredas, Héctor Mesa, Laura Morente
Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks. IWANN (1) (2009)
Francisco J. Veredas, Héctor Mesa, Luis A. Martínez
Imprecise correlated activity in self-organizing maps of spiking neurons. Neural Networks 21 (6) (2008)
Héctor Mesa, Francisco J. Veredas, Laura Morente
A Hybrid Approach for Tissue Recognition on Wound Images. HIS (2008)
Héctor Mesa, Francisco J. Veredas
Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity. ICANN (1) (2007)
Francisco J. Veredas, Luis A. Martínez, Héctor Mesa
Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing. ICANN (2) (2007)
Francisco J. Veredas, Francisco J. Vico, José M. Alonso
Evolving networks of integrate-and-fire neurons. Neurocomputing 69 (13-15) (2006)
Francisco J. Veredas, Héctor Mesa
Optimized synaptic conductance model for integrate-and-fire neurons. Artificial Intelligence and Soft Computing (2006)
Antonio Sánchez, Francisco J. Vico, Santiago Cabello, Francisco J. Veredas, Yamina Seamari, Isaac López, Javier Farfán, Guillermo García-Herrera
A Competitive-Based Method for Determining the Number of Groups: A Clinical Application. IWANN (2005)
Francisco J. Veredas, Francisco J. Vico, José M. Alonso
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. Inteligencia Artif. 9 (27) (2005)
Francisco J. Vico, P. Mir, Francisco J. Veredas, J. de La Torre
Animal-like adaptive behavior. Artif. Intell. Eng. 15 (1) (2001)
O. R. Manzano, Francisco J. Veredas, M. J. Guillen, Francisco J. Vico, J. Roman
Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network. KES (2000)
Francisco J. Vico, Francisco J. Veredas, José Manuel Bravo, J. Almaraz
Automatic design synthesis with artificial intelligence techniques. Artif. Intell. Eng. 13 (3) (1999)
Francisco J. Veredas, Francisco J. Vico
Computación evolutiva basada en un modelo de codificación implícita. Inteligencia Artif. 2 (5) (1998)