Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California
Año
Autores / Publicación
Fernández De Vega, F., Olague Caballero, G., Chávez De La O, F., Lanza, d., Banzhaf, W., & Goodman, E. (2020). It is Time for New Perspectives on How to Fight Bloat in GP. In Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo and Bill Worzel (Eds.), Genetic Programming Theory and Practice XVII (pp. 25-38). Springer. (ID: 26617)
Chan Ley, M. A., & Olague Caballero, G. (2020). Categorization of digitized artworks by media with brain programming. Applied Optics, 59(14), 4437-4447. doi: 10.1364/AO.385552. (ID: 26098)
Ochoa Montiel, M. R., Olague Caballero, G., & Sossa Azuela, J. H. (2020). Expert knowledge for the recognition of leukemic cells. Applied Optics, 59(14), 4448-4460. doi: 10.1364/AO.385208. (ID: 26097)
Chan Ley, M. A., & Olague Caballero, G. (2020). Hands-on Artificial Evolution Through Brain Programming. In Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo and Bill Worzel (Eds.), Genetic Programming Theory and Practice XVII (pp. 227-253). Springer. (ID: 26618)
Olague Caballero, G., Bakshi, S., Álvarez Borrego, J., Mait, J. N., Martínez García, A., & Testorf, M. E. (2020). Optics theory and practice in Iberoamerica: introduction to the feature issue. Applied Optics, 59(13), IB01-IB05. doi: 10.1364/AO.396153. (ID: 26095)
Chan Ley, M. A., Olague Caballero, G., Altamirano Gómez, G. E., & Clemente Torres, E. H. (2020). Self-localization of an uncalibrated camera through invariant properties and coded target location. Applied Optics, 59(13), D239-D245. doi: 10.1364/AO.385841. (ID: 26096)
Perez Cham, O. E., Puente Montejano, C. A., Soubervielle Montalvo, C., Olague Caballero, G., Aguirre Salado, C. A., & Nuñez Varela, A. S. (2020). Parallelization of the honeybee search algorithm for object tracking. Applied Sciences, 10(6), 24. doi: 10.3390/app10062122. (ID: 26099)
Fernández De Vega, F., Olague Caballero, G., Lanza, d., Chávez De La O, F., Banzhaf, W., Goodman, E., Menéndez Clavijo, J. A., & Martínez Navarro, A. (2020). Time and Individual Duration in Genetic Programming. IEEE Access, 8, 38692-38713. doi: 10.1109/ACCESS.2020.2975753. (ID: 26100)
Meza Sánchez, I. M., Clemente Torres, E. H., Rodríguez Liñan, M. C., & Olague Caballero, G. (2019). Synthetic-Analytic Behavior-based Control Framework: Constraining Velocity in Tracking for Nonholonomic Wheeled Mobile Robots. Information Sciences, 501, 436-459. doi: 10.1016/j.ins.2019.06.025. (ID: 25074)
Olague Caballero, G., Clemente Torres, E. H., Hernández Morales, D. E., Barrera Román, A., Chan Ley, M. A., & Bakshi, S. (2019). Artificial Visual Cortex and Random Search for Object Categorization. IEEE Access, 7, 54054-54072. doi: 10.1109/ACCESS.2019.2912792. (ID: 25073)
Puente Montejano, C. A., Olague Caballero, G., Trabucchi, M., Arjona Villicaña, P. D., & Soubervielle Montalvo, C. (2019). Synthesis of Vegetation Indices Using Genetic Programming for Soil Erosion Estimation. Remote Sensing, 11(2), 25 ages. doi: 10.3390/rs11020156. (ID: 24499)
Briseño Cervantes, J. L., Jiménez García, M. A., & Olague Caballero, G. (2018). Robotic Behavior based on Formal Grammars. Global Journal of Computer Science and Technology: D, Neural & Artificial Intelligence, 18(2), 8-14. https://globaljournals.org/GJCST_Volume18/1-Robotic-Behavior-based-on-Formal.pdf. (ID: 24021)
Olague Caballero, G., Hernández Morales, D. E., Llamas Virgen, P., Clemente Torres, E. H., & Briseño Cervantes, J. L. (2018). Brain programming as a new strategy to create visual routines for object tracking Towards automation of video tracking design. Multimedia Tools and Applications, 1-38. doi: 10.1007/s11042-018-6634-9. (ID: 24015)
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)
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)