Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sebastián A. Grillo"'
Autor:
Alejandro Marcelo Arce, Gabriel Giovanni Caroni, José Luis Vázquez Noguera, Diego P. Pinto-Roa, Horacio Legal-Ayala, Sebastián A. Grillo
Publikováno v:
Symmetry, Vol 12, Iss 6, p 1016 (2020)
The superformula generates curves called Gielis curves, which depend on a small number of input parameters. Recovering parameters generating a curve that adapts to a set of points is a non-trivial task, thus methods to accomplish it are still being d
Externí odkaz:
https://doaj.org/article/2795dfc1443245e98cc5281f1cbef02a
Analysis of the variability of reported COVID-19 over three weeks in relation to mobility parameters
Publikováno v:
Reportes científicos de la FACEN. 13:64-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a1c1b5a627071a0155e016ce5e5e884
https://doi.org/10.18004/rcfacen.2022.13.1.64
https://doi.org/10.18004/rcfacen.2022.13.1.64
Autor:
José Luis Vázquez Noguera, Julio César Mello Román, Federico Divina, Jorge Daniel Mello-Román, Sebastián Alberto Grillo, Miguel García-Torres, Pedro E. Gardel-Sotomayor
Publikováno v:
IEEE Access, Vol 9, Pp 162487-162498 (2021)
An important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. In this paper, we propose a study aimed at determining the relation between the number of adjacent inputs with different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8f47bb526c9f96047579f040d3724c7
https://doi.org/10.1109/access.2021.3131150
https://doi.org/10.1109/access.2021.3131150
Autor:
Luis Salgueiro Salgueiro Romero, Laura Raquel Bareiro Paniagua, Francisco Gómez-Vela, Jacques Facon, Deysi Natalia Leguizamon Correa, Julio César Mello Román, Miguel García-Torres, Diego P. Pinto-Roa, Sebastián Alberto Grillo, José Luis Vázquez Noguera
Publikováno v:
Mathematics
Volume 9
Issue 22
Mathematics, Vol 9, Iss 2899, p 2899 (2021)
Volume 9
Issue 22
Mathematics, Vol 9, Iss 2899, p 2899 (2021)
In feature selection, redundancy is one of the major concerns since the removal of redundancy in data is connected with dimensionality reduction. Despite the evidence of such a connection, few works present theoretical studies regarding redundancy. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::619179ed39c22f291954ce269365c192
Autor:
Jacques Facon, Diego P. Pinto-Roa, José Luis Vázquez Noguera, Sebastián Alberto Grillo, Jorge Daniel Mello-Román, Julio César Mello-Román, Luis Salgueiro Romero, Deysi Natalia Leguizamon Correa, Miguel García-Torres, Horacio Legal-Ayala, Laura Raquel Bareiro Paniagua, Lizza A. Salgueiro Toledo
Publikováno v:
Applied Sciences
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 9302, p 9302 (2021)
Volume 11
Issue 19
Applied Sciences, Vol 11, Iss 9302, p 9302 (2021)
Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma, causing the lesion to blend in with the surrounding skin. In addition, the low contrast prevents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c18512e1e0e784e2a30cd86d8df19ae0
Autor:
Miguel García-Torres, Julio César Mello-Román, Deysi Natalia Leguizamon Correa, Diego P. Pinto-Roa, Sebastián Alberto Grillo, Jacques Facon, Luis Salgueiro Romero, Laura Raquel Bareiro Paniagua, Lizza A. Salgueiro Toledo, José Luis Vázquez Noguera
Publikováno v:
2021 XXIII Symposium on Image, Signal Processing and Artificial Vision (STSIVA).
Image segmentation is a fundamental task for automatic disease diagnostics, and UNET is a widely used architecture for medical image segmentation. This is because this architecture is relatively simple to implement and obtains robust results. Current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0307958219e579c564f6721aaac599d4
https://doi.org/10.1109/stsiva53688.2021.9592022
https://doi.org/10.1109/stsiva53688.2021.9592022
Autor:
Sebastián Alberto Grillo
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 87:361-372
Artificial neural networks grow on the number of applications and complexity, which require a minimization on the number of units for some practical implementations. A particular problem is the minimum number of units that a feed forward neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95dedccb6b568c58696fc31db660f71a
https://doi.org/10.1007/s10472-019-09657-3
https://doi.org/10.1007/s10472-019-09657-3
Publikováno v:
Theoretical Computer Science. 736:62-75
The Quantum Query Model is a framework that allows us to express most known quantum algorithms. Algorithms represented by this model consist on a set of unitary operators acting over a finite Hilbert space, and a final measurement step consisting on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10b60f6d6c935dc813576797b442491
https://doi.org/10.1016/j.tcs.2018.03.017
https://doi.org/10.1016/j.tcs.2018.03.017
Autor:
Hyunho Shin, Leticia Segovia-Cabrera, Miguel García-Torres, Sandra Verónica Irala, Eduardo De Los Santos, C Ayala, Sebastián Alberto Grillo, Carlos F. Gaona, Guillermo Sequera, José Luis Vázquez Noguera, María Esther Pedrozo, Pastor Pérez-Estigarribia
Publikováno v:
Applied Sciences, Vol 11, Iss 9726, p 9726 (2021)
Applied Sciences
Volume 11
Issue 20
Applied Sciences
Volume 11
Issue 20
Forecasting the dynamics of the number of cases with coronavirus disease 2019 (COVID-19) in a given population is a challenging task due to behavioural changes which occur over short periods. Planning of hospital resources and containment measures in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bca3f662bc74f990ef0ac96d05023bb
https://doi.org/10.3390/app11209726
https://doi.org/10.3390/app11209726
Publikováno v:
Quantum Information Processing. 18
Understanding quantum speed-up over classical computing is fundamental for the development of efficient quantum algorithms. In this paper, we study such problem within the framework of the Quantum Query Model, which represents the probability of outp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d0a2ac5ccd5c202c05f09721afb48a3
https://doi.org/10.1007/s11128-019-2208-7
https://doi.org/10.1007/s11128-019-2208-7