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ORCIDFrancisco J. Veredas 0001
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- affiliation: University of Málaga, Department of Computer Science, Spain
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Journal Articles
- 2024
[j18]Fernando Gallego Donoso
, Francisco J. Veredas:
Recognition and normalization of multilingual symptom entities using in-domain-adapted BERT models and classification layers. Database J. Biol. Databases Curation 2024 (2024)- 2023
- [j17]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) - 2021
- [j16]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) - [j15]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) - 2020
- [j14]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): 323-334 (2020) - 2018
- [j13]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) - 2017
- [j12]Juan Carlos Aledo, Francisco R. Cantón, Francisco J. Veredas:
A machine learning approach for predicting methionine oxidation sites. BMC Bioinform. 18(1): 430:1-430:14 (2017) - 2015
- [j11]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: 112-122 (2015) - [j10]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): 345-359 (2015) - 2014
- [j9]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): 236-248 (2014) - 2010
- [j8]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): 410-427 (2010) - 2009
- [j7]Francisco J. Veredas, Héctor Mesa, Laura Morente:
A hybrid learning approach to tissue recognition in wound images. Int. J. Intell. Comput. Cybern. 2(2): 327-347 (2009) - 2008
- [j6]Francisco J. Veredas, Héctor Mesa, Luis A. Martínez:
Imprecise correlated activity in self-organizing maps of spiking neurons. Neural Networks 21(6): 810-816 (2008) - 2006
- [j5]Francisco J. Veredas, Francisco J. Vico, José M. Alonso:
Evolving networks of integrate-and-fire neurons. Neurocomputing 69(13-15): 1561-1569 (2006) - 2005
- [j4]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): 115-118 (2005) - 2001
- [j3]Francisco J. Vico, P. Mir, Francisco J. Veredas, J. de La Torre:
Animal-like adaptive behavior. Artif. Intell. Eng. 15(1): 5-12 (2001) - 1999
- [j2]Francisco J. Vico, Francisco J. Veredas, José Manuel Bravo, J. Almaraz:
Automatic design synthesis with artificial intelligence techniques. Artif. Intell. Eng. 13(3): 251-256 (1999) - 1998
- [j1]Francisco J. Veredas, Francisco J. Vico:
Computación evolutiva basada en un modelo de codificación implícita. Inteligencia Artif. 2(5): 20-25 (1998)
Conference and Workshop Papers
- 2024
- [c22]Fernando Gallego Donoso, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas:
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. ICCS (5) 2024: 266-280 - [c21]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
- [c20]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 - 2021
- [c19]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
- [c18]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 - [c17]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 - 2019
- [c16]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 - [c15]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 - [c14]Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco:
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) 2019: 200-208 - 2017
- [c13]Francisco J. Veredas, Francisco R. Cantón, Juan Carlos Aledo:
Prediction of Protein Oxidation Sites. IWANN (2) 2017: 3-14 - [c12]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 - 2013
- [c11]Laura Morente, Francisco J. Veredas:
ePULab - An Adaptive e-Learning Tool for Pressure Ulcer Evaluation. HEALTHINF 2013: 155-160 - [c10]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: 439-448 - 2011
- [c9]Laura Morente, Francisco J. Veredas, Héctor Mesa, Enrique Morris:
PULAB - Computational-Intelligence Aided Management, Diagnosis, Teleassistance and e-Learning of Pressure Ulcers. HEALTHINF 2011: 394-398 - 2010
- [c8]Francisco J. Veredas, Héctor Mesa, Juan C. Morilla, Laura Morente:
Predicting the Evolution of Pressure Ulcers. HEALTHINF 2010: 5-12 - 2009
- [c7]Francisco J. Veredas, Héctor Mesa, Laura Morente:
Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks. IWANN (1) 2009: 1045-1052 - 2008
- [c6]Héctor Mesa, Francisco J. Veredas, Laura Morente:
A Hybrid Approach for Tissue Recognition on Wound Images. HIS 2008: 120-125 - 2007
- [c5]Francisco J. Veredas, Luis A. Martínez, Héctor Mesa:
Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing. ICANN (2) 2007: 349-358 - [c4]Héctor Mesa, Francisco J. Veredas:
Integrate-and-Fire Neural Networks with Monosynaptic-Like Correlated Activity. ICANN (1) 2007: 539-548 - 2006
- [c3]Francisco J. Veredas, Héctor Mesa:
Optimized synaptic conductance model for integrate-and-fire neurons. Artificial Intelligence and Soft Computing 2006: 98-103 - 2005
- [c2]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: 1214-1221 - 2000
- [c1]O. R. Manzano, Francisco J. Veredas, M. J. Guillén, Francisco J. Vico, J. Román:
Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network. KES 2000: 177-180
Informal and Other Publications
- 2024
- [i2]Fernando Gallego Donoso, Guillermo López-García, Luis Gascó Sánchez, Martin Krallinger, Francisco J. Veredas:
ClinLinker: Medical Entity Linking of Clinical Concept Mentions in Spanish. CoRR abs/2404.06367 (2024) - [i1]Pedro Ruas, Fernando Gallego Donoso, Francisco J. Veredas, Francisco M. Couto:
Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking. CoRR abs/2407.06292 (2024)
Coauthor Index
aka: José Manuel Jerez
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