Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Veredas, Francisco J.
44  Ergebnisse:
Personensuche X
?
1

ClinLinker: Medical Entity Linking of Clinical Concept Ment..:

, In: Computational Science – ICCS 2024; Lecture Notes in Computer Science,
Gallego, Fernando ; López-García, Guillermo ; Gasco-Sánchez, Luis.. - p. 266-280 , 2024
Link: https://doi.org/10.1007/..
 
?
2

Explainable clinical coding with in-domain adapted transfor..:

López-García, Guillermo ; Jerez, José M. ; Ribelles, Nuria..
Journal of Biomedical Informatics.  139 (2023)  - p. 104323 , 2023
Link: https://doi.org/10.1016/..
 
?
3

Named Entity Recognition for De-identifying Real-World Heal..:

, In: Computational Science – ICCS 2023; Lecture Notes in Computer Science,
López-García, Guillermo ; Moreno-Barea, Francisco J. ; Mesa, Héctor... - p. 228-242 , 2023
Link: https://doi.org/10.1007/..
 
?
4

Transformers for Clinical Coding in Spanish:

Lopez-Garcia, Guillermo ; Jerez, Jose M. ; Ribelles, Nuria..
IEEE Access.  9 (2021)  - p. 72387-72397 , 2021
Link: https://doi.org/10.1109/..
 
?
5

Deep neural networks architecture driven by problem-specifi..:

Urda, Daniel ; Veredas, Francisco J. ; González-Enrique, Javier...
Neural Computing and Applications.  33 (2021)  15 - p. 9403-9423 , 2021
Link: https://doi.org/10.1007/..
 
?
6

Detection of Tumor Morphology Mentions in Clinical Reports ..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
López-García, Guillermo ; Jerez, José M. ; Ribelles, Nuria.. - p. 24-35 , 2021
Link: https://doi.org/10.1007/..
 
?
7

Transfer learning with convolutional neural networks for ca..:

López-García, Guillermo ; Jerez, José M. ; Franco, Leonardo..
PLOS ONE.  15 (2020)  3 - p. e0230536 , 2020
Link: https://doi.org/10.1371/..
 
?
8

A Transfer-Learning Approach to Feature Extraction from Can..:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
López-García, Guillermo ; Jerez, José M. ; Franco, Leonardo. - p. 912-924 , 2019
Link: https://doi.org/10.1007/..
 
?
9

Addition of Pathway-Based Information to Improve Prediction..:

, In: Bioinformatics and Biomedical Engineering; Lecture Notes in Computer Science,
Urda, Daniel ; Veredas, Francisco J. ; Turias, Ignacio. - p. 200-208 , 2019
Link: https://doi.org/10.1007/..
 
?
10

Combining feature engineering and feature selection to impr..:

Veredas, Francisco J. ; Urda, Daniel ; Subirats, José L...
Neural Computing and Applications.  32 (2018)  2 - p. 323-334 , 2018
Link: https://doi.org/10.1007/..
 
?
11

BLASSO: integration of biological knowledge into a regulari..:

Urda, Daniel ; Aragón, Francisco ; Bautista, Rocío...
BMC Systems Biology.  12 (2018)  S5 - p. , 2018
Link: https://doi.org/10.1186/..
 
?
12

A machine learning approach for predicting methionine oxida..:

Aledo, Juan C. ; Cantón, Francisco R. ; Veredas, Francisco J.
BMC Bioinformatics.  18 (2017)  1 - p. , 2017
Link: https://doi.org/10.1186/..
 
?
13

Methionine residues around phosphorylation sites are prefer..:

Veredas, Francisco J. ; Cantón, Francisco R. ; Aledo, J. Carlos
Scientific Reports.  7 (2017)  1 - p. , 2017
Link: https://doi.org/10.1038/..
 
?
14

Efficient detection of wound-bed and peripheral skin with s..:

Veredas, Francisco J. ; Mesa, Héctor ; Morente, Laura
Medical & Biological Engineering & Computing.  53 (2015)  4 - p. 345-359 , 2015
Link: https://doi.org/10.1007/..
 
?
15

Sulphur Atoms from Methionines Interacting with Aromatic Re..:

Aledo, Juan C. ; Cantón, Francisco R. ; Veredas, Francisco J.
Scientific Reports.  5 (2015)  1 - p. , 2015
Link: https://doi.org/10.1038/..
 
1-15