Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alfonso Rojas-Dominguez"'
Autor:
Juan De Anda-Suarez, Juan Martin Carpio-Valadez, Hector J. Puga-Soberanese, Valentin Calzada-Ledesma, Alfonso Rojas-Dominguez, Solai Jeyakumar, Andres Espinal
Publikováno v:
IEEE Access, Vol 7, Pp 154859-154871 (2019)
Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs. Ho
Externí odkaz:
https://doaj.org/article/88dfb0942195439993f0516fead02de0
Publikováno v:
IEEE Access, Vol 7, Pp 120117-120127 (2019)
Three different models of the game of Go are developed by establishing an analogy between this game and physical systems susceptible to analysis under the well-known Ising model in two dimensions. The Ising Hamiltonian is adapted to measure the energ
Externí odkaz:
https://doaj.org/article/eb776546443b4a81aeab5547cca29d54
Autor:
Alfonso Rojas-Dominguez, Luis Carlos Padierna, Juan Martin Carpio Valadez, Hector J. Puga-Soberanes, Hector J. Fraire
Publikováno v:
IEEE Access, Vol 6, Pp 7164-7176 (2018)
Proper tuning of hyper-parameters is essential to the successful application of SVM-classifiers. Several methods have been used for this problem: grid search, random search, estimation of distribution Algorithms (EDAs), bio-inspired metaheuristics, a
Externí odkaz:
https://doaj.org/article/ab1a8d723df04717a120ef6b1f0be155
Autor:
Valentin Calzada-Ledesma, Hector J. Puga-Soberanes, Manuel Ornelas-Rodriguez, Alfonso Rojas-Dominguez, Juan Martin Carpio-Valadez, Andres Espinal, Jorge A. Soria-Alcaraz, Marco A. Sotelo-Figueroa
Publikováno v:
IEEE Access, Vol 6, Pp 40450-40462 (2018)
Effective texture classification requires image descriptors capable of efficiently detecting, extracting, and describing the most relevant information in the images, so that, for instance, different texture classes can be distinguished despite image
Externí odkaz:
https://doaj.org/article/2f2eab0157bf498794f97f570d406975
Autor:
Meza-Higuera, Jesus A. *, Manuel, Zamudio-Rodriguez V. *, Faiyaz, Doctor, Rosario, Baltazar-Flores *, Carlos, Lino-Ramirez *, Alfonso, Rojas-Dominguez *
Publikováno v:
In Intelligent Data Sensing and Processing for Health and Well-being Applications 2018:243-256
Autor:
Alfonso Rojas-Domínguez, Renato Arroyo-Duarte, Fernando Rincón-Vieyra, Matías Alvarado-Mentado
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-25 (2022)
Abstract Background and objective Cancer Immunoediting (CI) describes the cellular-level interaction between tumor cells and the Immune System (IS) that takes place in the Tumor Micro-Environment (TME). CI is a highly dynamic and complex process comp
Externí odkaz:
https://doaj.org/article/7482a4f3a9bf48478b990d8d4b0d157b
Autor:
Acosta, Francisco, Hernández, José Adán, Alfonso, Rojas-Dominguez, Andrade, Ángel G., Antonio-Aquino, Aldair, Avila, Alfonso, Bárcenas, Everardo, Benítez-Guerrero, Edgard, Canul-Reich, Juana, Carlos, Lino-Ramirez, Castro, Luis A., Cornejo, Raymundo, Joaquín, Cortez G., Eddine-Boubiche, Djallel, Adolfo, Espinoza I., Faiyaz, Doctor, Favela, Jesús, Armando, García B., Gerardo, Muñoz-López, Gonzalez, Enrique, Han, Song, Hernández, Netzahualcóyotl, Hernández-Ocaña, Betania, Hernández-Torruco, José, Hidoussi, Faouzi, Meza-Higuera, Jesus A., Lam, Kam-Yiu, López-Martínez, José L., Manuel, Zamudio-Rodriguez V., Martínez, Fernando, Mezura-Godoy, Carmen, Molero-Castillo, Guillermo, Muñoz-Benítez, Julio, Munoz-Rodriguez, David, Ng, Joseph Kee-Yin, Pancardo, Pablo, Papavasileiou, Ioannis, Peña, Raul, Qureshi, Umair M., Rodríguez, Marcela D., Rodríguez, Luis-Felipe, Rosario, Baltazar-Flores, Erica, Ruiz I., Sánchez, Gabriela, Sliwa, Jan, Toral-Cruz, Homero, Trejo-Sánchez, Joel A., Tsang, Nelson Wai-Hung, Verónica del Rocio, Ochoa-López, Victor, Zamudio-Rodríguez, Wister, Miguel, Xohua-Chacón, Antonio
Publikováno v:
In Intelligent Data Sensing and Processing for Health and Well-being Applications 2018:xiii-xv
Publikováno v:
2011 4th International Congress on Image and Signal Processing.
A novel feature designed to enable the automated recognition of oil drops from other circular objects found in images obtained in-situ of a multiphase dispersion model (oil in water) is described. The conditions inside a stirring tank are highly dyna
Autor:
Lucero Ortiz-Aguilar, Martín Carpio, Alfonso Rojas-Domínguez, Manuel Ornelas-Rodriguez, H. J. Puga-Soberanes, Jorge A. Soria-Alcaraz
Publikováno v:
Complexity, Vol 2021 (2021)
In this work, we focus on the problem of selecting low-level heuristics in a hyperheuristic approach with offline learning, for the solution of instances of different problem domains. The objective is to improve the performance of the offline hyperhe
Externí odkaz:
https://doaj.org/article/79dddf6247ad4aa2a20f2f05a43939e4