.: Journal Publications :.

• Olague, G., Bakshi, S., Álvarez-Borrego, J., Mait, J. N., Martínez-Garcia, A., and Testorf, M. E. Optics Theory and Practice in Iberoamerica: Introduction to the Feature Issue. Applied Optics. Volume 59(13): IB01-IB5, 2020. Q2

• Ochoa-Montiel, R., Olague, G., and Sossa, H. Expert Knowledge for the Recognition of Leukemic Cells. Applied Optics. Volume 59(14): 4448-4460, 2020. Q2

• Chan-Ley, M., Olague, G. Categorization of Digitized Artworks by Media with Brain Programming. Applied Optics. Volume 59(14): 4437-4447, 2020. Q2

• Chan-Ley, M., Olague, G., Altamirano-Gomez, G.E., and Clemente, E. Self-localization of an Uncalibrated Camera Through invariant Properties and Coded Target Location. Applied Optics. Volume 59(13): D239-D245, 2020. Q2

• Perez-Cham, O.E., Puente, C., Soubervielle-Montalvo, C., Olague, G., Aguirre-Salado, C.A., and Nuñez-Varela, A.S. Parallelization of the Honeybee Search Algorithm for Object Tracking. Applied Sciences. Volume 10(6), 2122, 2020. Q2

• Fernández, F., Olague, G., Lanza, D., Chávez de la O, F., Banzhaf, W., Goodman, E., Menendez-Clavijo, J., and Martinez, A. Time and Individual Duration in Genetic Programming.  IEEE Access. Volume 8, 38692-38713, 2020. Q1

• Meza-Sánchez, M., Clemente, E., Rodriguez-Liñan, M.C., and Olague, G. Synthetic-Analytic Behavior-based Control Framework: Constraining Velocity in Tracking for Nonholonomic Wheeled Mobile Robots. Information Sciences. Volume 501, 436-459, 2019. Q1

• Olague, G., Clemente, E., Hernández, D. E., Barrera, A., Chan-Ley, M., and Bakshi, S. Artificial Visual Cortex and Random Search for Object Categorization. IEEE Access. Volume 7, 54054-54072, 2019. Q1

• Puente, C., Olague, G., Trabucchi, M., Arjona-Villicaña, P.D., and Soubervielle-Montalvo, C. Synthesis of Vegetation Indices using Genetic Programming for Soil Erosion. Remote Sensing. Volume 11(2), 156, 1-25, 2019. Q1

• Olague, G., Hernández, D. E., Llamas, P., Clemente, E., and Briseño, J. L. Brain Programming as a New Strategy to Create Visual Routines for Object Tracking. Multimedia Tools and Applications. Volume 78(5), 5881-5918, 2019. Q2

• Olague, G., Hernández, D. E., Clemente, E., and Chan-Ley, M. Evolving  Head Tracking Routines with Brain Programming. IEEE Access. Volume 6, 26254-26270, 2018. Q1

• Chavez de la O, F., Fernández, F., Lanza, D., Benavides, C., Villegas, J., Trujillo, L., Olague, G., and Roman, G. Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. Journal of High Performance Computing Applications. 32(5):706-720, 2018. Q2

• Hernández, D. E., Olague, G., Hernández, B., and Clemente, E. CUDA-based parallelization of a bio-inspired model for fast object classification. Neural Computing and Applications. 30(10):3007-3018, 2018. Q1

• López, V., Trujillo, L. Legrand, P., Díaz, V., and Olague, G. Comparison of local feature extraction paradigms applied to visual SLAM. Computación y Sistemas. 20(4):565-588, 2016.

• Villareal, B. L., Olague, G., and Gordillo, J. L. Synthesis of odor tracking algorithms with genetic programming. Neurocomputing. 175(B):1019-1032, 2016. Q1

• Hernández, D. E., Clemente, E., Olague, G., and Briseño, J. L. Evolutionary  multi-objective visual cortex for object classification in natural images. Journal of Computational Science. 17(part 1):216-233, 2016. Q2

• Clemente, E., Chavezde la O, F., Fernández, F., and Olague, G. 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, 2015. Q1

• García, M., Trujillo, L., Fernández, F., and Olague, G. The EvoSpace model for pool-based evolutionary algorithms. Journal of Grid Computing. 13(3):329-349, 2015. Q1

• Dozal, L., and Olague, G., Clemente, E., Hernández, D. E. Brain programming for the evolution of an artificial dorsal stream. Cognitive Computation. 6(3):528-557, 2014. Q1

• Perez, C., and Olague, G. Genetic Programming as a Strategy for Learning Image Descriptor Operators. Intelligent Data Analysis. 17(4):561-583, 2013. Q4

• Fernández, F., Olague, G., Trujillo, L., and Lombraña, D. Customizable execution environments for evolutionary computation using BOINC + virtualization Natural Computing. 12(2):163--177, 2012.  Q3 

• Trujillo, L., Legrand, P., Olague, G., and Lévy-Véhel, J. Evolving Estimators of the Pointwise Hölder Exponent with Genetic Programming. Information Sciences. 209:61-79, 2012. Q1

• Olague, G., and Trujillo, L. Interest Point Detection through Multiobjective Genetic Programming. Applied Soft Computing. 12(8):2566-2582, 2012. Q1

• Trabucchi, M., Puente, C., Comín, F. A., Olague, G., and Smith, S. V. Mapping Erosion Risk at the Basin Scale in a Mediterranean Environment with Opencast Coal Mines to Target Restoration Actions. Regional Environmental Change. 12(4):675-687, 2012. Q1

• Olague, G., and Trujillo, L. (20011) Evolutionary Computer Assisted Design of Image Operators that Detect Interest Points using Genetic Programming.
  Image and Vision Computing. Elsevier. Q1

• Trujillo, L., Olague, G., Lutton, E., Fernández, F., Dozal, L., and Clemente, E. (2011) Speciation in Behavioral Space for Evolutionary Robotics.
  Journal of Intelligent & Robotics Systems. Springer. Q3

• Chavez, F., Fernández, F., Alcalá, R., Alcalá-Fdez, J., Olague, G., and 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. Q2

• Juan Villegas, Humberto Sossa, Carlos Avilés, and Gustavo Olague. (2011) Evolutionary Associative Memories through Genetic Programming. Revista Mexicana de Física. 57(2): pp. 110-116. Q4 .

• Cesar Puente, Gustavo Olague, Stephen Smith, Stephen Bullock, Alejandro Hinojosa, and Miguel Angel Botello. (2011) A Genetic Programming Approach to Estimate Vegetation Cover in the Context of Soil Erosion Assessment. Photogrammetric Engineering & Remote Sensing. 77(4): pp. 363-376. Q1 .

• Olague, G., Pérez, C. B., Fernández, F., and Lutton, E. (2009) An Artificial Life Approach to Dense Stereo Disparity.
  Artificial Life and Robotics. 13(2):585-596.

• Trujillo, L., and Olague, G. (2008) Automated Design of Image Operators that Detect Interest Points. Evolutionary Computation. 16(4): 483-507. Q1

• Hernández, B., Olague, G., Hammoud, R., Trujillo, L., and Romero, E. (2007) Visual Learning of Texture Descriptors for Facial Expression Recognition in Thermal Imagery. Computer Vision and Image Understanding . 106(2-3):258-269. Q1

• Trujillo, L., Olague, G., Legrand, P., and Lutton, E. (2007) Regularity Based Descriptor Computed from Local Image Oscillations. Optics Express. 15(10):6140-6145. Q1

• Olague, G. and Dunn, E. (2006) Development of a Practical Photogrammetric Network Design using Evolutionary Computing. The Photogrammetric Record. 22(117:22-38. Q2

• Macías, D., Olague, G. and Méndez, E.R. (2006) Inverse Scattering with Far-field Intensity Data: Random Surfaces that Belong to a Well-defined Statistical Class. Waves in Random and Complex Media. 16(4):545-560. Q1

• Olague, G., Cagnoni, S., and Lutton, E. (eds) Introduction to the Special Issue on Evolutionary Computer Vision and Image Understanding. Pattern Recognition Letters. 27(11):1209-1219. Q2

• Dunn, E., Olague, G., and Lutton, E. (2005) Parisian Camera Placement for Vision Metrology. Pattern Recognition Letters. 27(11):1209-1219. Q2

• Olague, G., Fernández, F., Pérez, C., and Lutton, E. (2005) The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Correspondence. Artificial Life. 12(4):593-615. Q3 

• Olague, G., Hernández, B., (2005) A New Accurate and Flexible Model-based Multi-corner Detector for Measurement and Recognition. Pattern Recognition Letters. 26(1): 27-41. Q2

• Dunn, E. and Olague, G. (2003) Evolutionary Computation for Sensor Planning: The Task Distribution Plan.
  EURASIP Journal on Applied Signal Processing, Special Issue on Genetic and Evolutionary Computation in Signal Processing and Image Analysis. 2003:8, pp. 748-756. Q3

• Olague, G. Automated Photogrammetric Network Design using Genetic Algorithms . Photogrammetric Engineering & Remote Sensing. 68(5):423-431, 2002. Paper awarded the "2003 First Honorable Mention for the Talbert Abrams Award", by ASPRS. Q1

• Olague, G. and Mohr, R. Optimal Camera Placement for Accurate Reconstruction. Pattern Recognition. 35(4): 927-944, 2002. Q1