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Itzel Aranguren

Itzel N. Aranguren-Navarro

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affiliation: University of Guadalajara, CUCEI, Departament of electronic, Mexico

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2020 – today

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2024
[c6]
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  - conf/bioma/ValdiviaARCOM24
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Arturo Valdivia, Itzel Aranguren, Jorge Ramos-Frutos, Ángel Casas-Ordaz, Diego Oliva, Saúl Zapotecas Martínez:
Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy. MIC (2) 2024: 279-291
[c5]
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  - conf/cec/Casas-OrdazVHOB24
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Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña:
IDEL: An Improved Differential Evolution with Lissajous Mutation. CEC 2024: 1-8
[c4]
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  - conf/kes/Morales-Castaneda24
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Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Itzel Aranguren, Ángel Casas-Ordaz, Luis A. Beltran, Saúl Zapotecas Martínez:
Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization. KES 2024: 1389-1398
2022
[j5]
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  - journals/asc/GasparOHAZ22
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Angel Gaspar, Diego Oliva, Salvador Hinojosa, Itzel Aranguren, Daniel Zaldivar:
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images. Appl. Soft Comput. 120: 108654 (2022)
[j4]
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  - journals/mta/ArangurenVCOO22
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Itzel Aranguren, Arturo Valdivia, Marco Antonio Pérez Cisneros, Diego Oliva, Valentín Osuna-Enciso:
Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization. Multim. Tools Appl. 81(7): 10023-10049 (2022)
[c3]
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Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa:
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC 2022: 1-7
[c2]
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  - conf/cec/NavarroRMMAVOM22
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Mario A. Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad:
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC 2022: 1-8
2021
[j3]
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Itzel Aranguren, Arturo Valdivia, Bernardo Morales-Castañeda, Diego Oliva, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros:
Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. Biomed. Signal Process. Control. 64: 102259 (2021)
[j2]
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  - journals/mlc/RioAOEC21
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Andrea H. del Río, Itzel Aranguren, Diego Oliva, Mohamed E. Abd Elaziz, Erik Cuevas:
Efficient image segmentation through 2D histograms and an improved owl search algorithm. Int. J. Mach. Learn. Cybern. 12(1): 131-150 (2021)

2010 – 2019

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2019
[j1]
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Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Oscar Maciel-Castillo, Itzel Aranguren, Fernando Fausto:
An improved Simulated Annealing algorithm based on ancient metallurgy techniques. Appl. Soft Comput. 84 (2019)
2018
[c1]
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  - conf/lacci/Valdivia-Gonzalez18
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Arturo Valdivia-Gonzalez, Itzel N. Aranguren-Navarro:
Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization. LA-CCI 2018: 1-5

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