Francisco Chávez de la O (ORCID-ID 0000-0002-9565-743X)
Francisco Chávez de la O (ORCID-ID 0000-0002-9565-743X)
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Study and classification of plum varieties using image analysis and deep learning techniques
FJ Rodríguez, A García, PJ Pardo, F Chávez, RM Luque-Baena
Progress in Artificial Intelligence 7, 119-127, 2018
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments
F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, G Olague, F Herrera
Applied Intelligence, 1-17, 2012
Real-time context-aware microservice architecture for predictive analytics and smart decision-making
G Ortiz, JA Caravaca, A García-de-Prado, J Boubeta-Puig
IEEE Access 7, 183177-183194, 2019
Ephemeral computing and bioinspired optimization: Challenges and opportunities
C Cotta, AJ Fernández-Leiva, FF de Vega, F Chávez, JJ Merelo, ...
2015 7th International Joint Conference on Computational Intelligence (IJCCI …, 2015
Musical genre classification by means of fuzzy rule-based systems: A preliminary approach
F Fernández, F Chávez, R Alcalá, F Herrera
2011 IEEE Congress of Evolutionary Computation (CEC), 2571-2577, 2011
A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
FF de Vega, F Chávez, J Díaz, JA García, PA Castillo, JJ Merelo, C Cotta
Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016
An independent and non-intrusive laser pointer environment control device system.
Francisco Chávez de la O, FF de Vega, G Olague, JL Montero
ICPS, 37-46, 2008
From ephemeral computing to deep bioinspired algorithms: new trends and applications
D Camacho, R Lara-Cabrera, JJ Merelo-Guervós, PA Castillo, C Cotta, ...
Future Generation Computer Systems 88, 735-746, 2018
Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems
F Chávez, F Fernández, MJ Gacto, R Alcala
International Journal of Computational Intelligence Systems 5 (2), 368-386, 2012
Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system
E Clemente, F Chavez, FF de Vega, G Olague
Applied Soft Computing 32, 250-265, 2015
Unplugging evolutionary algorithms: on the sources of novelty and creativity
FF de Vega, L Navarro, C Cruz, F Chavez, L Espada, P Hernandez, ...
2013 IEEE Congress on Evolutionary Computation, 2856-2863, 2013
Local search in speciation-based bloat control for genetic programming
P Juárez-Smith, L Trujillo, M García-Valdez, F Fernández de Vega, ...
Genetic Programming and Evolvable Machines 20, 351-384, 2019
Fuzzy rule based system ensemble for music genre classification
F Fernández, F Chávez
Evolutionary and Biologically Inspired Music, Sound, Art and Design: First …, 2012
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system
F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, F Herrera
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 256-263, 2011
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems
F Chávez, F Fernández, J Alcalá-Fdez, R Alcalá, F Herrera, G Olague
International Conference on Fuzzy Systems, 1-8, 2010
ECJ+ HADOOP: an easy way to deploy massive runs of evolutionary algorithms
F Chávez, F Fernández, C Benavides, D Lanza, J Villegas, L Trujillo, ...
Applications of Evolutionary Computation: 19th European Conference …, 2016
Application areas of ephemeral computing: A survey
C Cotta, AJ Fernández-Leiva, FF de Vega, F Chávez, JJ Merelo, ...
Transactions on Computational Collective Intelligence XXIV, 153-167, 2016
Tele-Enseńanza: Investigación y Proyectos
MA Vega, JM Sánchez, JA Gómez, F Chávez, F Fernández
III Jornadas Multimedia Educativo: Nuevos Aprendizajes Virtuales,-Barcelona, 2001
Enfermedades de la palma africana en Ecuador y su combate
F Chávez
INIAP Archivo Historico, 1986
A fuzzy rule-based system to predict energy consumption of genetic programming algorithms
J Diaz Alvarez, PA Castillo Martínez, FJ Rodríguez Díaz, ...
ComSIS Consortium, 2018
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