Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Rafael Rivera-Lopez"'
Publikováno v:
IEEE Access, Vol 12, Pp 169850-169868 (2024)
The growing demand for complex machine learning models has increased the use of black-box models, such as random forests and artificial neural networks, posing significant challenges regarding explainability and interpretability. This manuscript addr
Externí odkaz:
https://doaj.org/article/e144ce46734a4c70b948e857ecf8bb30
Autor:
Marta Lilia Erana-Diaz, Marco Antonio Cruz-Chavez, Rafael Rivera-Lopez, Beatriz Martinez-Bahena, Erika Yesenia Avila-Melgar, Martin Heriberto Cruz-Rosales
Publikováno v:
IEEE Access, Vol 8, Pp 117063-117079 (2020)
In this paper, a computational methodology combining the simulated annealing algorithm with two machine learning techniques to select a near-optimal safeguard set for business risk response is presented. First, a mathematical model with four types of
Externí odkaz:
https://doaj.org/article/24ba6df4c2484129a496f4a5ebc76c16
Autor:
Rafael Rivera-Lopez, Juana Canul-Reich
Publikováno v:
IEEE Access, Vol 6, Pp 5548-5563 (2018)
In this paper, a differential-evolution-based approach implementing a global search strategy to find a near-optimal axis-parallel decision tree is introduced. In this paper, the internal nodes of a decision tree are encoded in a real-valued chromosom
Externí odkaz:
https://doaj.org/article/d685653751e343fd9264ffc17a407f08
Autor:
Jesús Francisco Perez-Gomez, Juana Canul-Reich, Rafael Rivera-Lopez, Betania Hernández Ocaña, Cristina López-Ramírez
Publikováno v:
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences ISBN: 9789811987410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d327de5459ff68eaa93c4b1287994e4
https://doi.org/10.1007/978-981-19-8742-7_41
https://doi.org/10.1007/978-981-19-8742-7_41
Publikováno v:
Intelligent Medicine, Vol 4, Iss 3, Pp 188-199 (2024)
Background: Bacterial vaginosis is a polymicrobial syndrome in which the homeostasis exerted by the Latobacillus species that protect the vaginal mucosa has been lost. This study explored the data balancing process with the intention of improving the
Externí odkaz:
https://doaj.org/article/a43c09b5a614453f8c8072835ad6ddfd
Grid-Based Hybrid Genetic Approach to Relaxed Flexible Flow Shop with Sequence-Dependent Setup Times
Autor:
Erika Yesenia Avila Melgar, Marta Lilia Erana Diaz, Marco Antonio Cruz-Chavez, Martin H. Cruz-Rosales, Fredy Juarez-Perez, Rafael Rivera-Lopez
Publikováno v:
Applied Sciences; Volume 12; Issue 2; Pages: 607
Applied Sciences, Vol 12, Iss 607, p 607 (2022)
Applied Sciences, Vol 12, Iss 607, p 607 (2022)
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances of the flexible flow shop scheduling problem with sequence-dependent setup times is introduced. The genetic algorithm takes advantage of the distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f2b7e171d67e5f0aa36d9b0bc0ad945
Autor:
Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Rafael Rivera-López, Hector-Gabriel Acosta-Mesa, Aldo Márquez-Grajales
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 56 (2024)
Feature selection is a preprocessing step in machine learning that aims to reduce dimensionality and improve performance. The approaches for feature selection are often classified according to the evaluation of a subset of features as filter, wrapper
Externí odkaz:
https://doaj.org/article/f937150ce7cf4b53976611b0ea3dca18
Publikováno v:
2010 IEEE Electronics, Robotics and Automotive Mechanics Conference.
This paper addresses the Job Shop Scheduling Problem (JSSP). Basic constraints are established and it is modeled by a disjunctive graph. The model was mapped to Unrelated Parallel Machines Problem through a bipartite graph. An analysis of constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f148353b49434df1681f42de61e776
https://doi.org/10.1109/cerma.2010.27
https://doi.org/10.1109/cerma.2010.27
Autor:
María Concepción Salvador-González, Juana Canul-Reich, Rafael Rivera-López, Efrén Mezura-Montes, Erick de la Cruz-Hernandez
Publikováno v:
Mathematical and Computational Applications, Vol 28, Iss 3, p 75 (2023)
Bacterial Vaginosis is a common disease and recurring public health problem. Additionally, this infection can trigger other sexually transmitted diseases. In the medical field, not all possible combinations among the pathogens of a possible case of B
Externí odkaz:
https://doaj.org/article/aee8d666d3f84e4184bb20182e08fac0
Grid-Based Hybrid Genetic Approach to Relaxed Flexible Flow Shop with Sequence-Dependent Setup Times
Autor:
Fredy Juárez-Pérez, Marco Antonio Cruz-Chávez, Rafael Rivera-López, Erika Yesenia Ávila-Melgar, Marta Lilia Eraña-Díaz, Martín H. Cruz-Rosales
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 607 (2022)
In this paper, a hybrid genetic algorithm implemented in a grid environment to solve hard instances of the flexible flow shop scheduling problem with sequence-dependent setup times is introduced. The genetic algorithm takes advantage of the distribut
Externí odkaz:
https://doaj.org/article/76ed40b0fe8d413eaefa5e59e238f86a