A Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations. - Gustavo Olague; Gerardo Ibarra-Vázquez; Mariana Chan-Ley; Cesar Puente 001; Carlos Soubervielle-Montalvo; Axel Martinez (ISVC (1), 2020)

Time and Individual Duration in Genetic Programming. - Francisco Fernández de Vega; Gustavo Olague; Daniel Lanza; Francisco Chávez de la O; Wolfgang Banzhaf; Erik D. Goodman; Jose Menendez-Clavijo; Axel Martinez (IEEE Access, 2020)

Brain Programming and Its Resilience Using a Real-World Database of a Snowy Plover Shorebird. - Roberto Pineda; Gustavo Olague; Gerardo Ibarra-Vázquez; Axel Martinez; Jonathan Vargas; Isnardo Reducindo (EvoApplications, 2022)

Modeling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification Through Inferential Knowledge. - Gustavo Olague; Matthieu Olague; Gerardo Ibarra-Vázquez; Isnardo Reducindo; Aaron Barrera; Axel Martinez; José Luis Briseño (GPTP, 2022)

Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning. - Gustavo Olague; Roberto Pineda; Gerardo Ibarra-Vázquez; Matthieu Olague; Axel Martinez; Sambit Bakshi; Jonathan Vargas; Isnardo Reducindo (IEEE Trans. Emerg. Top. Comput., 2023)

Modeling Image Tone Dichotomy with the Power Function. - Axel Martinez; Gustavo Olague; Emilio Hernandez (CoRR, 2024)

Analytical-heuristic modeling and optimization for low-light image enhancement. - Axel Martinez; Emilio Hernandez; Matthieu Olague; Gustavo Olague (Appl. Soft Comput., 2025)