Francisco J. Veredas

43 papers B 2C 1Misc 2Journal 22Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing cross-encoders using knowledge graph hierarchy for medical entity linking in zero- and few-shot scenarios. Knowl. Based Syst. Fernando Gallego Donoso, Pedro Ruas, Francisco M. Couto, Francisco J. Veredas
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`	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. ICCS (5) Fernando Gallego Donoso, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
2024	J	`jnl`	ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. CoRR Fernando Gallego Donoso, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas
2024	J	`jnl`	Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking. CoRR Pedro Ruas, Fernando Gallego Donoso, Francisco J. Veredas, Francisco M. Couto
2024	J	`jnl`	Recognition and normalization of multilingual symptom entities using in-domain-adapted BERT models and classification layers. Database J. Biol. Databases Curation Fernando Gallego Donoso, Francisco J. Veredas
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
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	J	`jnl`	Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins. Neural Comput. Appl. Francisco J. Veredas, Daniel Urda, José Luis Subirats, Francisco R. Cantón, Juan Carlos Aledo
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
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	—	`conf`	Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
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	J	`jnl`	BLASSO: integration of biological knowledge into a regularized linear model. BMC Syst. Biol. Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez
2017	J	`jnl`	A machine learning approach for predicting methionine oxidation sites. BMC Bioinform. Juan Carlos Aledo, Francisco R. Cantón, Francisco J. Veredas
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	—	`conf`	Prediction of Protein Oxidation Sites. IWANN (2) Francisco J. Veredas, Francisco R. Cantón, Juan Carlos Aledo
2015	J	`jnl`	Efficient detection of wound-bed and peripheral skin with statistical colour models. Medical Biol. Eng. Comput. Francisco J. Veredas, Héctor Mesa, Laura Morente
2015	J	`jnl`	Wound image evaluation with machine learning. Neurocomputing Francisco J. Veredas, Rafael M. Luque-Baena, Francisco J. Martín-Santos, Juan C. Morilla-Herrera, Laura Morente
2014	J	`jnl`	A web-based e-learning application for wound diagnosis and treatment. Comput. Methods Programs Biomed. Francisco J. Veredas, Esperanza Ruiz-Bandera, Francisca Villa-Estrada, Juan F. Rufino-González, Laura Morente
2013	—	`conf`	Computer-Aided Diagnosis in Wound Images with Neural Networks. IWANN (2) María Navas, Rafael M. Luque-Baena, Laura Morente, David Coronado, Rafael Rodríguez, Francisco J. Veredas
2013	—	`conf`	ePULab - An Adaptive e-Learning Tool for Pressure Ulcer Evaluation. HEALTHINF Laura Morente, Francisco J. Veredas
2011	—	`conf`	PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers. HEALTHINF Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris
2010	J	`jnl`	Binary Tissue Classification on Wound Images With Neural Networks and Bayesian Classifiers. IEEE Trans. Medical Imaging Francisco J. Veredas, Héctor Mesa, Laura Morente
2010	—	`conf`	Predicting the Evolution of Pressure Ulcers. HEALTHINF Francisco J. Veredas, Héctor Mesa, Juan C. Morilla, Laura Morente
2009	J	`jnl`	A hybrid learning approach to tissue recognition in wound images. Int. J. Intell. Comput. Cybern. Francisco J. Veredas, Héctor Mesa, Laura Morente
2009	—	`conf`	Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks. IWANN (1) Francisco J. Veredas, Héctor Mesa, Laura Morente
2008	C	`conf`	A Hybrid Approach for Tissue Recognition on Wound Images. HIS Héctor Mesa, Francisco J. Veredas, Laura Morente
2008	J	`jnl`	Imprecise correlated activity in self-organizing maps of spiking neurons. Neural Networks Francisco J. Veredas, Héctor Mesa, Luis A. Martínez
2007	—	`conf`	Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity. ICANN (1) Héctor Mesa, Francisco J. Veredas
2007	—	`conf`	Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing. ICANN (2) Francisco J. Veredas, Luis A. Martínez, Héctor Mesa
2006	J	`jnl`	Evolving networks of integrate-and-fire neurons. Neurocomputing Francisco J. Veredas, Francisco J. Vico, José M. Alonso
2006	Misc	`conf`	Optimized synaptic conductance model for integrate-and-fire neurons. Artificial Intelligence and Soft Computing Francisco J. Veredas, Héctor Mesa
2005	Misc	`conf`	A Competitive-Based Method for Determining the Number of Groups: A Clinical Application. IWANN Antonio Sánchez, Francisco J. Vico, Santiago Cabello, Francisco J. Veredas, Yamina Seamari, Isaac López, Javier Farfán, Guillermo García-Herrera
2005	J	`jnl`	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. Francisco J. Veredas, Francisco J. Vico, José M. Alonso
2001	J	`jnl`	Animal-like adaptive behavior. Artif. Intell. Eng. Francisco J. Vico, P. Mir, Francisco J. Veredas, J. de La Torre
2000	B	`conf`	Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network. KES O. R. Manzano, Francisco J. Veredas, M. J. Guillén, Francisco J. Vico, J. Román
1999	J	`jnl`	Automatic design synthesis with artificial intelligence techniques. Artif. Intell. Eng. Francisco J. Vico, Francisco J. Veredas, José Manuel Bravo, J. Almaraz
1998	J	`jnl`	Computación evolutiva basada en un modelo de codificación implícita. Inteligencia Artif. Francisco J. Veredas, Francisco J. Vico