| Bienvenido a CICESE
Datos Personales
Nombre:
Olague Caballero Gustavo
Categoría:
INVESTIGADOR TITULAR
SNI:
INVESTIGADOR II
Departamento:
DEPARTAMENTO DE CIENCIAS DE LA COMPUTACIÓN
División:
DIVISIÓN DE FÍSICA APLICADA
Correo:
olague@cicese.mx
Extensión:
23429
Proyectos
Estudio de la programación cerebral en problemas de reconocimiento a gran escala y sus aplicaciones en el mundo real
Laboratorios
Evovisión
Hay 89 publicaciones.

Año

Autores / Publicación

2018

Olague Caballero, G., Hernández Morales, D. E., Clemente Torres, E. H., & Chan Ley, M. A. (2018). Evolving Head Tracking Routines with Brain Programming. IEEE Access, 6, 26254-26270. doi: 10.1109/ACCESS.2018.2831633. (ID: 24014)

2017

Hernández Morales, D. E., Olague Caballero, G., Hernández Valencia, B., & Clemente Torres, E. H. (2017). CUDA-based parallelization of a bio-inspired model for fast object classification. NEURAL COMPUTING & APPLICATIONS. doi: 10.1007/s00521-017-2873-3. (ID: 23046)

2016

Chávez De La O, F., Fernández De Vega, F., Lanza, d., Benavides, C., Villegas Cortez, J., Trujillo Reyes, L., Olague Caballero, G., & Roman, G. (2016). Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 1-15. doi: 10.1177/1094342016678302. (ID: 21501)

2016

Lopez Lopez, V. R., Trujillo Reyes, L., Legrand, P., Díaz Ramírez, V. H., & Olague Caballero, G. (2016). Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computación y Sistemas, 20(4), 565-587. doi: 10.13053/CyS-20-4-2500. (ID: 21261)

2016

Olague Caballero, G. (2016). In Natural Computing Series (Eds.), Evolutionary Computer Vision: The First Footprints (pp. 411). Springer. (ID: 21253)

2016

Lanza, d., Chávez De La O, F., Fernández De Vega, F., García Valdez, M., Trujillo Reyes, L., & Olague Caballero, G. (2016). Profiting from Several Recommendation Algorithms using a Scalable Approach. In Oliver Schütze, L. Trujillo, P. Legrand, Y. Maldonado (Eds.), Studies in Computational Intelligence. Volume 663 (pp. 357-375). Springer. (ID: 21258)

2016

Villareal, B. L., Olague Caballero, G., & Gordillo Moscoso, J. L. (2016). Synthesis of odor tracking algorithms with genetic programming. NEUROCOMPUTING, 175(B), 1019-1032. doi: 10.1016/j.neucom.2015.09.108. (ID: 20132)

2015

Hernández Morales, D. E., Clemente Torres, E. H., Olague Caballero, G., & Briseño Cervantes, J. L. (2015). Evolutionary multi-objective visual cortex for object classification in natural images. Journal of Computational Science. doi: 10.1016/j.jocs.2015.10.011. (ID: 20129)

2015

Clemente Torres, E. H., Chávez De La O, F., Fernández De Vega, F., & Olague Caballero, G. (2015). Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system. Applied Soft Computing, 32, 250-265. doi: 10.1016/j.asoc.2015.03.011. (ID: 20128)

2014

García Valdez, M., Trujillo Reyes, L., Merelo Guervós, J. J., Fernández De Vega, F., & Olague Caballero, G. (2014). The EvoSpace model for pool-based evolutionary algorithms. Journal of Grid Computing. doi: 10.1007/s10723-014-9319-2. (ID: 17585)

2014

Dozal García, L. F., Olague Caballero, G., Clemente Torres, E. H., & Hernández Morales, D. E. (2014). Brain programming for the evolution of an artificial dorsal stream. Cognitive Computation, 6(3), 528-557. doi: 10.1007/s12559-014-9251-6. (ID: 17584)

2014

Olague Caballero, G., Dozal García, L. F., Clemente Torres, E. H., & Ocampo Torres, A. I. (2014). Optimizing an artificial dorsal stream on purpose for visual attention. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 141-166). Springer. (ID: 15864)

2014

Olague Caballero, G., Clemente Torres, E. H., Dozal García, L. F., & Hernández Morales, D. E. (2014). Evolving an artificial visual cortex for object recognition with brain programming. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 97-119). Springer. (ID: 16339)

2014

Hernández Morales, D. E., Olague Caballero, G., Clemente Torres, E. H., & Dozal García, L. F. (2014). Optimizing a conspicuous point detector for camera trajectory estimation with brain programming. In O. Schütze et al (Eds.), Evolve - a Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation III (pp. 121-140). Springer. (ID: 15865)

2013

Pérez Castro, C. B., & Olague Caballero, G. (2013). Genetic programming as strategy for learning image descriptor operators. Intelligent Data Analysis, 17(4), 561-583. doi: 10.3233/IDA-130594. (ID: 15588)