Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Olague Caballero, G. (2013). In Christian Blum Ikerbasque (Eds.), Proceedings of the fifteenth annual conference on genetic and evolutionary computation. Association for Computing Machinery. (ID: 17183)
Fernández De Vega, F., Olague Caballero, G., Trujillo Reyes, L., & Lombraña González, D. (2012). Customizable execution environments for evolutionary computation using BOINC + virtualization. Natural Computing, 12 (2), 163-177. doi: 10.1007/s11047-012-9343-8. (ID: 15169)
Olague Caballero, G., & Trujillo Reyes, L. (2012). Interest point detection through multiobjective genetic programming. Applied Soft Computing, 12(8), 2566-2582. doi: 10.1016/j.asoc.2012.03.058. (ID: 16326)
Olague Caballero, G. (2012). In Soule et al (Eds.), Proceedings of the fourteenth international conference on genetic and evolutionary computation conference companion. Association for Computing Machinery. (ID: 17182)
Trujillo Reyes, L., Legrand, P., Olague Caballero, G., & Lévy Véhel, J. (2012). Evolving estimators or the pointwise Hölder exponent with genetic programming. Information Sciences, 209, 61-79. doi: 10.1016/j.ins.2012.04.043. (ID: 15170)
Villegas Cortez, J., Olague Caballero, G., Sossa Azuela, J. H., & Avilés Cruz, C. (2012). Evolutionary associative memories through genetic programming. In F.Fernández de Vega, J.I. Hidalgo Pérez, J. Lanchares (Eds.), Parallel Architectures & Bioinspired Algorithms (pp. 171-188). Springer-Verlag. (ID: 14948)
Trabucchi, M., Puente Montejano, C. A., Comin, F. A., Olague Caballero, G., & Smith, S. V. (2012). Mapping erosion risk at the basin scale in a Mediterranean environment with opencast coal mines to target restoration actions. Regional Environmental Change. doi: 10.1007/s10113-012-0278-5. (ID: 15414)
Trujillo Reyes, L., Olague Caballero, G., Lutton, E., Fernández De Vega, F., Dozal García, L. F., & Clemente Torres, E. H. (2011). Speciation in behavioral space for evolutionary robotics. Journal of Intelligent & Robotic Systems, 64(3-4), 323-351. doi: 10.1007/s10846-011-9542-z. (ID: 12533)
Olague Caballero, G., & Trujillo Reyes, L. (2011). Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming. Image and Vision Computing, 29(7), 484-498. doi: 10.1016/j.imavis.2011.03.004. (ID: 14807)
Villegas Cortez, J., Sossa Azuela, J. H., Avilés Cruz, C., & Olague Caballero, G. (2011). Evolutionary associative memories through genetic programming. Revista Mexicana de Física, 57(2), 110-116. (ID: 14701)
Puente Montejano, C. A., Olague Caballero, G., Smith, S. V., Bullock Runquist, S. H., Hinojosa Corona, A., & González Botello, M. Á. (2011). A genetic programming approach to estimate vegetation cover in the context of soil erosion assessment. Photogrammetric Engineering and Remote Sensing, 77(4), 363-376. (ID: 14702)
Chávez De La O, F., Fernández, F., Alcalá, R., Alcalá Fernández, J., Olague Caballero, G., & Herrera, F. (2011). Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Applied Intelligence, 36(2), 407-423. doi: 10.1007/s10489-010-0268-6. (ID: 12798)
Olague Caballero, G., & Trujillo Reyes, L. (2009). A genetic programming approach to the design of interest point operators. In Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz (Eds.), Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (pp. 49-65). Springer. (ID: 12391)
Pérez Castro, C. B., Olague Caballero, G., Lutton, E., & Fernández, F. (2009). Texture image segmentation using an interactive evolutionary approach. In Stefano Cagnoni (Eds.), Studies in Computational Intelligence. Evolutionary Image Analysis and Signal Processing (pp. 3-19). Springer. (ID: 13176)
Trujillo Reyes, L., & Olague Caballero, G. (2009). Detecting scale-invariant regions using evolved image operators. In Stefano Cagnoni (Eds.), Studies in Computational Intelligence. Evolutionary Image Analysis and Signal Processing (pp. 21-40). Springer. (ID: 13177)