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Arturo Chavoya-Pena

Arturo Chavoya

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2020 – today

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2023
[j5]
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Sergio H. Almanza-Ruiz, Arturo Chavoya, Hector A. Duran-Limon:
Parallel protein multiple sequence alignment approaches: a systematic literature review. J. Supercomput. 79(2): 1201-1234 (2023)
2021
[j4]
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Jesus Flores-Contreras, Hector A. Duran-Limon, Arturo Chavoya, Sergio H. Almanza-Ruiz:
Performance prediction of parallel applications: a systematic literature review. J. Supercomput. 77(4): 4014-4055 (2021)

2010 – 2019

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2015
[c17]
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Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña:
A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects. ITNG 2015: 415-420
2014
[c16]
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Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña:
A machine learning technique for predicting the productivity of practitioners from individually developed software projects. SNPD 2014: 1-6
2013
[c15]
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Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña:
Use of a Feedforward Neural Network for Predicting the Development Duration of Software Projects. ICMLA (2) 2013: 156-159
2012
[j3]
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Cuauhtémoc López Martín, Claudia Isaza, Arturo Chavoya:
Software development effort prediction of industrial projects applying a general regression neural network. Empir. Softw. Eng. 17(6): 738-756 (2012)
[c14]
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Irma R. Andalon-Garcia, Arturo Chavoya-Pena:
Performance comparison of three topologies of the island model of a parallel genetic algorithm implementation on a cluster platform. CONIELECOMP 2012: 1-6
[c13]
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Rocio Chavez-Alvarez, Arturo Chavoya, Cuauhtémoc López Martín:
Finding the Minimal Gene Regulatory Function in the Presence of Undefined Transitional States Using a Genetic Algorithm. IPCAT 2012: 238-249
[c12]
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Irma R. Andalon-Garcia, Arturo Chavoya, Maria Elena Meda-Campaña:
A Parallel Algorithm for Multiple Biological Sequence Alignment. IPCAT 2012: 264-276
2011
[c11]
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Arturo Chavoya, Cuauhtémoc López Martín, Maria Elena Meda-Campaña:
Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects. ITNG 2011: 174-179
[c10]
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Cuauhtémoc López Martín, Arturo Chavoya, Maria Elena Meda-Campaña:
Software Development Effort Estimation in Academic Environments Applying a General Regression Neural Network Involving Size and People Factors. MCPR 2011: 269-277
2010
[j2]
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Arturo Chavoya, Irma R. Andalon-Garcia, Cuauhtémoc López Martín, Maria Elena Meda-Campaña:
Use of evolved artificial regulatory networks to simulate 3D cell differentiation. Biosyst. 102(1): 41-48 (2010)
[c9]
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Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Maria Elena Meda-Campaña, Arturo Chavoya-Pena:
Software Development Productivity Prediction of Small Programs Using Fuzzy Logic. ITNG 2010: 1295-1297
[c8]
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Arturo Chavoya, Irma R. Andalon-Garcia, Cuauhtémoc López Martín, Maria Elena Meda-Campaña:
3D Cell Pattern Generation in Artificial Development. NICSO 2010: 127-139
[c7]
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Cuauhtémoc López Martín, Arturo Chavoya-Pena, Maria Elena Meda-Campaña:
Software Development Effort Estimation Applying a Fuzzy Logic Model Involving Programming Language Experience. Software Engineering Research and Practice 2010: 432-438

2000 – 2009

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2009
[c6]
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Maria Elena Meda-Campaña, F. J. Lopez-Lopez, Cuauhtémoc López Martín, Arturo Chavoya-Pena:
Identification of Petri Net Models Based on an Asymptotic Approach. ISDA 2009: 749-754
[c5]
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Cuauhtémoc López Martín, Ivica Kalichanin-Balich, Arturo Chavoya-Pena, Maria Elena Meda-Campaña:
Relating Types of Lines of Code for Predicting the Software Development Effort of Small Programs Using a Fuzzy Model: Economizing Variables. Software Engineering Research and Practice 2009: 556-652
[p1]
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Arturo Chavoya:
Artificial Development. Foundations of Computational Intelligence (1) 2009: 185-215
2008
[j1]
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Arturo Chavoya, Yves Duthen:
A cell pattern generation model based on an extended artificial regulatory network. Biosyst. 94(1-2): 95-101 (2008)
2007
[c4]
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Arturo Chavoya, Yves Duthen:
An Artificial Development Model for Cell Pattern Generation. ACAL 2007: 61-71
[c3]
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Arturo Chavoya, Yves Duthen:
Use of a genetic algorithm to evolve an extended artificial regulatory network for cell pattern generation. GECCO 2007: 1062
[c2]
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Arturo Chavoya, Yves Duthen:
Evolving an Artificial Regulatory Network for 2D Cell Patterning. ALIFE 2007: 47-53
2006
[c1]
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Arturo Chavoya, Yves Duthen:
Using a genetic algorithm to evolve cellular automata for 2D/3D computational development. GECCO 2006: 231-232

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