Zobrazeno 1 - 10
of 106
pro vyhledávání: '"J. Gil-Gonzalez"'
Autor:
N Matos Garrido, J Gil Gonzalez, Eugenio Velasco Ortega, I Ortiz Garcia, J Moreno Munoz, Álvaro Jiménez Guerra, E Nunez Marquez, Loreto Monsalve Guil
Publikováno v:
Avances en Odontoestomatología v.37 n.1 2021
SciELO España: Revistas Científicas Españolas de Ciencias de la Salud
Instituto de Salud Carlos III (ISCIII)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
SciELO España. Revistas Científicas Españolas de Ciencias de la Salud
Banco de España
SciELO España: Revistas Científicas Españolas de Ciencias de la Salud
Instituto de Salud Carlos III (ISCIII)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
SciELO España. Revistas Científicas Españolas de Ciencias de la Salud
Banco de España
Introducción. La implantología oral representa una opción importante en el tratamiento de los pacientes con pérdida dental total y parcial. El estudio a largo plazo muestra la evaluación de los pacientes tratados mediante carga precoz de implant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09162aa8aa02f2f355c5baff7295ce60
https://doi.org/10.4321/s0213-12852021000100002
https://doi.org/10.4321/s0213-12852021000100002
Akademický článek
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Akademický článek
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Autor:
Andrés Marino Álvarez-Meza, J. Gil-Gonzalez, Álvaro-Ángel Orozco-Gutierrez, Mauricio A. Álvarez, Juan-José Giraldo
Publikováno v:
Gil-Gonzalez, J, Giraldo, J J, Alvarez-Meza, A M, Orozco-Gutierrez, A & Alvarez, M A 2021, ' Correlated Chained Gaussian Processes for Datasets With Multiple Annotators ', IEEE Transactions on NEural Networks and Learning Systems, pp. 1-15 . https://doi.org/10.1109/TNNLS.2021.3116943
The labeling process within a supervised learning task is usually carried out by an expert, which provides the ground truth (gold standard) for each sample. However, in many real-world applications, we typically have access to annotations provided by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61e7eceafb5ad2c2c07571915e465816
https://doi.org/10.1109/tnnls.2021.3116943
https://doi.org/10.1109/tnnls.2021.3116943
Publikováno v:
Neurocomputing. 423:236-247
Training a supervised learning model requires a labeled dataset, where the labeling process is usually carried out by an expert to provide the ground truth/gold standard for each sample. However, in many applications, such a gold standard is not avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dd32a0500d1eae186f6be7c0c44fa33
https://doi.org/10.1016/j.neucom.2020.10.045
https://doi.org/10.1016/j.neucom.2020.10.045
Publikováno v:
Pattern Recognition Letters. 116:150-156
In a typical supervised learning scenario, it is supposed that there is an oracle who gives the correct label (also known as gold standard or ground truth) for each instance available in the training set. Nevertheless, for many real-world problems, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eae08bde2b26759f2e2b7315a0b6c11
https://doi.org/10.1016/j.patrec.2018.10.005
https://doi.org/10.1016/j.patrec.2018.10.005
Autor:
Andrés Marino Álvarez-Meza, Andrés F. Valencia-Duque, Álvaro Orozco-Gutiérrez, J. Gil-Gonzalez, Andrea García-Moreno
Publikováno v:
Applied Sciences
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5409, p 5409 (2021)
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5409, p 5409 (2021)
The increasing popularity of crowdsourcing platforms, i.e., Amazon Mechanical Turk, changes how datasets for supervised learning are built. In these cases, instead of having datasets labeled by one source (which is supposed to be an expert who provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa3c98f22da3bc5cb0110b4b7012221
https://doi.org/10.3390/app11125409
https://doi.org/10.3390/app11125409
Akademický článek
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Autor:
Julián D. Echeverry-Correa, Andrés A. Álvarez-Meza, Álvaro Orozco-Gutiérrez, J. Gil-Gonzalez, Mauricio A. Álvarez-López
Publikováno v:
TecnoLógicas, Vol 20, Iss 39 (2017)
Peripheral Nerve Blocking (PNB) is a commonly used technique for performing regional anesthesia and managing pain. PNB comprises the administration of anesthetics in the proximity of a nerve. In this sense, the success of PNB procedures depends on an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d07800268b0fe1e0abf18cab82233769
http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/1042/923
http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/1042/923