Zobrazeno 1 - 10
of 65
pro vyhledávání: '"José Francisco Martínez-Trinidad"'
Autor:
José Alberto Fuentes-Carbajal, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Jorge Arturo Flores-López
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6663 (2023)
The detection of archaeological structures in satellite images is beneficial for archaeologists since it allows quick identification of structures across large areas of land. To date, some methods have been proposed to solve this task; however, these
Externí odkaz:
https://doaj.org/article/d25c94c949c2490084c915c120a8ccba
Autor:
Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera López
Publikováno v:
Computación y Sistemas. 27
Publikováno v:
Artificial Intelligence Review. 55:2821-2846
Feature Selection for mixed data is an active research area with many applications in practical problems where numerical and non-numerical features describe the objects of study. This paper provides the first comprehensive and structured revision of
Autor:
Niusvel Acosta Mendoza, Andrés Gago Alonso, José Eladio Medina Pagola, Jesús Ariel Carrasco Ochoa, José Francisco Martínez Trinidad
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 9, Iss 1, Pp 1-5 (2015)
Frequent approximate subgraph mining has emerged as an important research topic where graphs are used for modeling entities and their relations including some distortions in the data. In the last years, there has been a considerable growth in the app
Externí odkaz:
https://doaj.org/article/66a84eb70b7a4f84b757ae086a3192e0
Autor:
Jesús Ariel Carrasco Ochoa, Manuel S. Lazo Cortes, Rosa María Valdovinos Rosas, Gretel Bernal Baró, Ansel Y. Rodríguez González, José Francisco Martínez-Trinidad
Publikováno v:
Pattern Recognition Letters. 138:8-15
Association rule mining is one of the most important and active research areas in data mining. In the literature, several association rule miners have been proposed; among them, those based on particle swarm optimization (PSO) have reported the best
Autor:
José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Ignacio Hernández-Bautista, José Juan Carbajal-Hernández
Publikováno v:
The Visual Computer. 37:957-972
In this paper, a new method for automatic filter coefficient calculation in lifting scheme wavelet transform for image lossless compression is proposed. Actually, there is no specific rule for setting filter coefficients (a, b). Therefore, this work
Autor:
Andres Eduardo Gutierrez-Rodríguez, Milton García-Borroto, José Francisco Martínez-Trinidad, Miguel Angel Medina-Pérez, Raúl Monroy, Jesús Ariel Carrasco-Ochoa, Octavio Loyola-González
Publikováno v:
IEEE Access, Vol 8, Pp 52370-52384 (2020)
Nowadays, the international scientific community of machine learning has an enormous campaign in favor of creating understandable models instead of black-box models. The main reason is that experts in the application area are showing reluctance due t
Autor:
Yanir González Díaz, José Francisco Martínez Trinidad, Jesús Ariel Carrasco Ochoa, Manuel Sabino Lazo Cortés
Publikováno v:
SSRN Electronic Journal.
Autor:
Leticia Oyuki Rojas-Perez, Jose Martinez-Carranza, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Aldrich A. Cabrera-Ponce
Publikováno v:
IEEE Latin America Transactions. 17:2045-2052
Object detection has become an essential tool in aerial robotics thanks to the use of onboard cameras in drones that enables find objects using techniques of vision. However, vision algorithms may become unreliable presenting drawback by the illumina