A Local Image Feature Approach as a Step of a Top-Down RGBD Semantic Segmentation Method. - Gerardo Ibarra-Vázquez; César Augusto Puente Montejano; José I. Nuñez-Varela (Res. Comput. Sci., 2019)

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)

Less Is More: Pursuing the Visual Turing Test With the Kuleshov Effect. - Gustavo Olague; Matthieu Olague; Angel R. Jacobo-Lopez; Gerardo Ibarra-Vázquez (CVPR Workshops, 2021)

Automated design of accurate and robust image classifiers with brain programming. - Gerardo Ibarra-Vázquez; Gustavo Olague; Cesar Puente 001; Mariana Chan-Ley; Carlos Soubervielle-Montalvo (GECCO Companion, 2021)

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)

Automated Design of Salient Object Detection Algorithms with Brain Programming. - Gustavo Olague; Jose Armando Menendez-Clavijo; Matthieu Olague; Arturo Ocampo; Gerardo Ibarra-Vázquez; Rocio Ochoa-Montiel; Roberto Pineda (CoRR, 2022)

Brain programming is immune to adversarial attacks: Towards accurate and robust image classification using symbolic learning. - Gerardo Ibarra-Vázquez; Gustavo Olague; Mariana Chan-Ley; Cesar Puente 001; Carlos Soubervielle-Montalvo (Swarm Evol. Comput., 2022)

Unlocking Sustainable Development Goals through Computational Thinking: A Search to Inform Computers Education from Citizen Science Dataset. - María Soledad Ramírez-Montoya; Mariana Buenestado-Fernández; Gerardo Ibarra-Vázquez (ICIEI, 2023)

Predicting Social Entrepreneurship Competence Level and its Factors: A Machine Learning Approach. - María Soledad Ramírez-Montoya; Antonio Martínez-Arboleda; Gerardo Ibarra-Vázquez (ICIEI, 2023)

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)

Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. - Gerardo Ibarra-Vázquez; Hugo Terashima-Marín; Carlos A. Coello Coello (CEC, 2024)

Forecasting Gender in Open Education Competencies: A Machine Learning Approach. - Gerardo Ibarra-Vázquez; María Soledad Ramírez-Montoya; Mariana Buenestado-Fernández (IEEE Trans. Learn. Technol., 2024)

Gender prediction based on University students' complex thinking competency: An analysis from machine learning approaches. - Gerardo Ibarra-Vázquez; María Soledad Ramírez-Montoya; Hugo Terashima (Educ. Inf. Technol., 2024)