Zobrazeno 1 - 10
of 462
pro vyhledávání: '"Romo, Juan"'
The $k$-Means algorithm is one of the most popular choices for clustering data but is well-known to be sensitive to the initialization process. There is a substantial number of methods that aim at finding optimal initial seeds for $k$-Means, though n
Externí odkaz:
http://arxiv.org/abs/2106.01129
Task-based functional magnetic resonance imaging (task fMRI) is a non-invasive technique that allows identifying brain regions whose activity changes when individuals are asked to perform a given task. This contributes to the understanding of how the
Externí odkaz:
http://arxiv.org/abs/2103.08874
Publikováno v:
International Journal of Computer Science Issues; 2020
Digital mammogram inspection is the most popular technique for early detection of abnormalities in human breast tissue. When mammograms are analyzed through a computational method, the presence of the pectoral muscle might affect the results of breas
Externí odkaz:
http://arxiv.org/abs/2009.06357
Publikováno v:
In Journal of Biomedical Informatics February 2023 138
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Torrecilla, José L., Romo, Juan
Publikováno v:
Probab. Lett., 136, pp. 15-19. Special Issue on "The role of Statistics in the era of Big Data"
Technology is generating a huge and growing availability of observa tions of diverse nature. This big data is placing data learning as a central scientific discipline. It includes collection, storage, preprocessing, visualization and, essentially, st
Externí odkaz:
http://arxiv.org/abs/1806.03971
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Artificial Intelligence In Medicine November 2021 121
Autor:
Bikel, Shirley, López-Leal, Gamaliel, Cornejo-Granados, Fernanda, Gallardo-Becerra, Luigui, García-López, Rodrigo, Sánchez, Filiberto, Equihua-Medina, Edgar, Ochoa-Romo, Juan Pablo, López-Contreras, Blanca Estela, Canizales-Quinteros, Samuel, Hernández-Reyna, Abigail, Mendoza-Vargas, Alfredo, Ochoa-Leyva, Adrian
Publikováno v:
In iScience 20 August 2021 24(8)
In the context of functional data analysis, we propose new two sample tests for homogeneity. Based on some well-known depth measures, we construct four different statistics in order to measure distance between the two samples. A simulation study is p
Externí odkaz:
http://arxiv.org/abs/1507.01835