Zobrazeno 1 - 10
of 20
pro vyhledávání: '"José C. Riquelme Santos"'
Autor:
Beatriz Pontes Balanza, Juan M. Castillo Tuñón, Daniel Mateos García, Javier Padillo Ruiz, José C. Riquelme Santos, José M. Álamo Martinez, Carmen Bernal Bellido, Gonzalo Suarez Artacho, Carmen Cepeda Franco, Miguel A. Gómez Bravo, Luis M. Marín Gómez
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
BackgroundThe complex process of liver graft assessment is one point for improvement in liver transplantation. The main objective of this study is to develop a tool that supports the surgeon who is responsible for liver donation in the decision-makin
Externí odkaz:
https://doaj.org/article/f84dbda27f254bc298ef747754ce07d0
Autor:
Francisco J. Núñez-Benjumea, Sara González-García, Alberto Moreno-Conde, José C. Riquelme-Santos, José L. López-Guerra
Publikováno v:
Clinical and Translational Radiation Oncology. 41:100640
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4023e44d11e0157cf67713526f874ced
https://doi.org/10.1016/j.ctro.2023.100640
https://doi.org/10.1016/j.ctro.2023.100640
Autor:
David Gutiérrez-Avilés, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme-Santos
Publikováno v:
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) ISBN: 9783030878689
SOCO
SOCO
Electricity consumption is an issue that concerns us all. How we use electricity daily affects both the economy and the environment. Many studies analyse the use of electricity in households to predict the energy that will be consumed. Electricity co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea6050b1b406215a3d714e0782ad5ea4
https://doi.org/10.1007/978-3-030-87869-6_67
https://doi.org/10.1007/978-3-030-87869-6_67
Autor:
José María Luna-Romera, José M. García-Heredia, Laura Macías-García, José C. Riquelme-Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often involves metastasis with its conse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76efb7667a0afbdb6ac495763cc30046
http://hdl.handle.net/10261/239028
http://hdl.handle.net/10261/239028
Autor:
María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José M. García-Heredia, José C. Riquelme-Santos
Publikováno v:
Information Fusion. 36:114-129
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence expected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary due to its polygenic nature.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c04ab0176c7bfc648f69270080c8d2b3
https://doi.org/10.1016/j.inffus.2016.11.005
https://doi.org/10.1016/j.inffus.2016.11.005
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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This paper presents an evolutionary method for modifying the behaviour of the k-Nearest-Neighbour clas sifier (kNN) called Simultaneous Weighting of Attributes and Neighbours (SWAN). Unlike other weighting methods, SWAN presents the ability of adjust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32e2b386117172c088f88cf1a52625c7
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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We optimize the voting system for the k nearest neighbours.We use evolutionary computation.We study the influence of the closeness of neighbours on the search process.The results are statistically validated. This work presents an evolutionary approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e14cc751d1a10c43e01ca4da3466e6
https://doi.org/10.1016/j.eswa.2015.08.017
https://doi.org/10.1016/j.eswa.2015.08.017
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
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Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have recently maximized the synergy between passive sensors and LiDAR (Light Detection and Ranging) for land cover classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2015b10a8dfae1eb4bf9cde47273c1e4
https://doi.org/10.1016/j.neucom.2014.08.086
https://doi.org/10.1016/j.neucom.2014.08.086
Autor:
María Martínez-Ballesteros, Ricardo González-Cámpora, Jorge García-Gutiérrez, José María Luna-Romera, Laura Macías-García, José C. Riquelme-Santos
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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Breast cancer is the most common cause of cancer death in women. Today, post-transcriptional protein products of the genes involved in breast cancer can be identified by immunohistochemistry. However, this method has problems arising from the intra-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af3f857d8a92ff348fbd0e75c3d21125
https://pubmed.ncbi.nlm.nih.gov/28663073
https://pubmed.ncbi.nlm.nih.gov/28663073
Autor:
José C. Riquelme-Santos, María Martínez-Ballesteros, José María Luna-Romera, Jorge García-Gutiérrez
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Advances in Artificial Intelligence ISBN: 9783319446356
CAEPIA
instname
Advances in Artificial Intelligence ISBN: 9783319446356
CAEPIA
K-Means and Bisecting K-Means clustering algorithms need the optimal number into which the dataset may be divided. Spark implementations of these algorithms include a method that is used to calculate this number. Unfortunately, this measurement prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07037e534e455e7d9176ed166ac8de8b