Zobrazeno 1 - 10 of 92 pro vyhledávání: '"José M Jerez"'
1
Akademický článek
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data.
Autor: Guillermo López-García, José M Jerez, Leonardo Franco, Francisco J Veredas
Publikováno v: PLoS ONE, Vol 15, Iss 3, p e0230536 (2020)
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of a given patient's state and prognosis. With the purpose of advancing to personalized medicine framework, accurate diagnoses allow prescri
Externí odkaz: https://doaj.org/article/7f842316ed8a46989e57d7a78edf5bf1
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2
Akademický článek
A microRNA signature associated with early recurrence in breast cancer.
Autor: Luis G Pérez-Rivas, José M Jerez, Rosario Carmona, Vanessa de Luque, Luis Vicioso, M Gonzalo Claros, Enrique Viguera, Bella Pajares, Alfonso Sánchez, Nuria Ribelles, Emilio Alba, José Lozano
Publikováno v: PLoS ONE, Vol 9, Iss 3, p e91884 (2014)
Recurrent breast cancer occurring after the initial treatment is associated with poor outcome. A bimodal relapse pattern after surgery for primary tumor has been described with peaks of early and late recurrence occurring at about 2 and 5 years, resp
Externí odkaz: https://doaj.org/article/7639c434b3454c28b53a10b731587f95
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4
Efficient Thermal Comfort Estimation Employing the C-Mantec Constructive Neural Network Model
Autor: Francisco Ortega-Zamorano, José M Jerez, José Rodríguez-Alabarce, Kusha Goreishi, Leonardo Franco
Thermal comfort is the condition in which a person feels satisfaction with the thermal environment through a subjective evaluation. In this work, a compact and efficient estimation of thermal comfort perception by human subjects is performed using a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54610609363f0dbcf3d492333f992753
https://doi.org/10.21203/rs.3.rs-427188/v1
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7
Deep neural networks architecture driven by problem-specific information
Autor: Ignacio J. Turias, Juan Jesús Ruiz-Aguilar, Daniel Urda, Francisco J. Veredas, Javier González-Enrique, José M. Jerez
Publikováno v: Neural Computing and Applications. 33:9403-9423
Deep learning provides a variety of neural network-based models, known as deep neural networks (DNNs), which are being successfully used in several domains to build highly accurate predictors. A key factor which usually makes DNNs to outperform tradi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e82a5a5a15be002019c410e071d2b9b
https://doi.org/10.1007/s00521-021-05702-7
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8
Transformers for Clinical Coding in Spanish
Autor: Nuria Ribelles, José M. Jerez, Francisco J. Veredas, Guillermo López-García, Emilio Alba
Publikováno v: IEEE Access, Vol 9, Pp 72387-72397 (2021)
Automatic clinical coding is an essential task in the process of extracting relevant information from unstructured documents contained in electronic health records (EHRs). However, most research in the development of computer-based methods for clinic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b16d99db3a4355f40d38118a6edac3b
https://doi.org/10.1109/access.2021.3080085
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