Gerardo Ibarra-Vázquez

According to our database, Gerardo Ibarra-Vázquez authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., February, 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

Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems.

Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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

Predicting Social Entrepreneurship Competence Level and its Factors: A Machine Learning Approach.

María Soledad Ramírez-Montoya, Antonio Martínez-Arboleda, Gerardo Ibarra-Vázquez

Proceedings of the 8th International Conference on Information and Education Innovations, 2023

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

Proceedings of the 8th International Conference on Information and Education Innovations, 2023

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, Carlos Soubervielle-Montalvo

Swarm Evol. Comput., 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

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

Proceedings of the Genetic Programming Theory and Practice XIX [GPTP 2022], 2022

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

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021

Automated design of accurate and robust image classifiers with brain programming.

Gerardo Ibarra-Vázquez, Gustavo Olague, Cesar Puente, Mariana Chan-Ley, Carlos Soubervielle-Montalvo

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Less Is More: Pursuing the Visual Turing Test With the Kuleshov Effect.

Gustavo Olague, Matthieu Olague, Angel R. Jacobo-Lopez, Gerardo Ibarra-Vázquez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

A Deep Genetic Programming Based Methodology for Art Media Classification Robust to Adversarial Perturbations.

Gustavo Olague, Gerardo Ibarra-Vázquez, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle-Montalvo, Axel Martinez

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

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