Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Hugo Terashima-Marín"'
Autor:
Enrique Díaz de León-Hicks, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4601 (2023)
In the algorithm selection problem, where the task is to identify the most suitable solving technique for a particular situation, most methods used as performance mapping mechanisms have been relatively simple models such as logistic regression or ne
Externí odkaz:
https://doaj.org/article/eff56cb8dd7040d287d6fbc9828e0ca1
Autor:
Anna Karen Gárate-Escamilla, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10576 (2022)
Hyper-heuristics have arisen as methods that increase the generality of existing solvers. They have proven helpful for dealing with complex problems, particularly those related to combinatorial optimization. Their recent growth in popularity has incr
Externí odkaz:
https://doaj.org/article/e8491a49d2544df29396aaa77a939a2c
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100628- (2020)
There is a colourful palette of metaheuristics for solving continuous optimisation problems in the literature. Unfortunately, it is not easy to pick a suitable one for a specific practical scenario. Moreover, oftentimes the selected metaheuristic mus
Externí odkaz:
https://doaj.org/article/1ce090454dc340ee9cfeffca6862167f
Autor:
José Ricardo Abreu-Pederzini, Guillermo Arturo Martínez-Mascorro, José Carlos Ortíz-Bayliss, Hugo Terashima-Marín
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9374 (2021)
Artificial neural networks are efficient learning algorithms that are considered to be universal approximators for solving numerous real-world problems in areas such as computer vision, language processing, or reinforcement learning. To approximate a
Externí odkaz:
https://doaj.org/article/4e28805c66e44100ae34f9cde6417b66
Autor:
Xavier Sánchez-Díaz, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10209 (2021)
Recent years have witnessed a growing interest in automatic learning mechanisms and applications. The concept of hyper-heuristics, algorithms that either select among existing algorithms or generate new ones, holds high relevance in this matter. Curr
Externí odkaz:
https://doaj.org/article/5c14838d268843179edafee591028c85
Autor:
José C. Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Andres E. Gutierrez-Rodriguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2749 (2021)
Many of the works conducted on algorithm selection strategies—methods that choose a suitable solving method for a particular problem—start from scratch since only a few investigations on reusable components of such methods are found in the litera
Externí odkaz:
https://doaj.org/article/334e2467274742c392c15a229765bba9
Autor:
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José C. Ortiz-Bayliss, Angel Garcia-Collantes, Hugo Terashima-Marín
Publikováno v:
Computation, Vol 9, Iss 2, p 24 (2021)
Crime generates significant losses, both human and economic. Every year, billions of dollars are lost due to attacks, crimes, and scams. Surveillance video camera networks generate vast amounts of data, and the surveillance staff cannot process all t
Externí odkaz:
https://doaj.org/article/68cd56c4985c408cac71d5f63d53ee23
Autor:
Jorge M. Cruz-Duarte, José C. Ortiz-Bayliss, Iván Amaya, Yong Shi, Hugo Terashima-Marín, Nelishia Pillay
Publikováno v:
Mathematics, Vol 8, Iss 11, p 2046 (2020)
Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and with proven excellent capabilities. Nonetheless, oftentimes metaheuristics
Externí odkaz:
https://doaj.org/article/bf22efb4c70f4a66a80c48966d7889cc
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-17
Recent advances in technology and devices have caused a data explosion on the Internet and on our home PCs. This data is predominantly obtained in various modalities (text, image, video, etc.) and is essential for e-commerce websites. The products on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb428144cca39039c8d69b6d38420f7d
https://doi.org/10.3233/jifs-223752
https://doi.org/10.3233/jifs-223752
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-14
Security has become a critical issue for complex and expensive systems and day-to-day situations. In this regard, the analysis of surveillance cameras is a critical issue usually restricted to the number of people devoted to such a task, their knowle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9afa546546600d1bb2a6240879755ba8
https://doi.org/10.1155/2022/1279945
https://doi.org/10.1155/2022/1279945