Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Francisco Cedrón"'
Autor:
Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4538-4558 (2021)
Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science with the skyrocketing of machine lea
Externí odkaz:
https://doaj.org/article/17bf6fbfcf45455bab494ce85bbfe43c
Autor:
Carlos Fernandez-Lozano, Francisco Cedrón, Daniel Rivero, Julian Dorado, José Manuel Andrade-Garda, Alejandro Pazos, Marcos Gestal
Publikováno v:
Engineering Computations, 2016, Vol. 33, Issue 4, pp. 995-1005.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-03-2015-0062
Publikováno v:
Neural Computing and Applications. 33:107-119
In this article, a minimum neural network topology in terms of units and connections (neurons and weights), making visual aesthetically categorized images, will be identified. For this purpose, an analysis to compact the initial neural network will b
Autor:
Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Publikováno v:
Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed..
Publikováno v:
Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed..
Autor:
Francisco Cedrón, Ana B. Porto-Pazos, Sara Alvarez-Gonzalez, Alejandro Pazos, Jose Rodriguez-Fernandez
Publikováno v:
Applied Sciences
Volume 11
Issue 4
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
Applied Sciences, Vol 11, Iss 1572, p 1572 (2021)
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
Volume 11
Issue 4
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
Applied Sciences, Vol 11, Iss 1572, p 1572 (2021)
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
[Abstract] The study of the intestinal microbiota is one of the biggest challenges in the current clinical environment. In this context, probiotics have been a focus of interest to achieve the stability of the intestinal microbiota, due to probiotics
Autor:
Francisco Cedron, Sara Alvarez-Gonzalez, Ana Ribas-Rodriguez, Santiago Rodriguez-Yañez, Ana Belen Porto-Pazos
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8020 (2024)
A technique is presented that reduces the required memory of neural networks through improving weight storage. In contrast to traditional methods, which have an exponential memory overhead with the increase in network size, the proposed method stores
Externí odkaz:
https://doaj.org/article/3e701dd504e44e789d2bfb7c09157cb5
Publikováno v:
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
Universitat Oberta de Catalunya (UOC)
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
[Abstract] Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already widely used to working hand in
Autor:
Jose Rodriguez-Fernandez, Francisco Cedrón, Alejandro Pazos, Ana B. Porto-Pazos, Sara Alvarez-Gonzalez
Publikováno v:
Proceedings, Vol 54, Iss 34, p 34 (2020)
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña
Universitat Oberta de Catalunya (UOC)
[Abstract] The study of the intestinal microbiota is one of the greatest challenges in today’s clinical environment. Thus, probiotics have been established as a focus for its stability, as they play a key role in its regulation. The development of