Fernando Javier Aguilar Canto

According to our database, Fernando Javier Aguilar Canto authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Model discovery of compartmental models with Graph-Supported Neural Networks.

Fernando Javier Aguilar Canto, Carlos Brito-Loeza, Hiram Calvo

Appl. Math. Comput., March, 2024

Associative Interpretability of Hidden Semantics with Contrastiveness Operators in Face Classification Tasks.

Fernando Aguilar-Canto, Omar García-Vázquez, Tania Alcántara, Alberto Espinosa-Juarez, Hiram Calvo

Proceedings of the Explainable Artificial Intelligence, 2024

Neuroscience-Informed Interpretability of Intermediate Layers in Artificial Neural Networks.

Oziel Cortés Piña, Adolfo A. Villegas-Jimenéz, Fernando Aguilar-Canto, Omar Juárez Gambino, Hiram Calvo

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

PoSLemma: How Traditional Machine Learning and Linguistics Preprocessing Aid in Machine Generated Text Detection.

Diana Jiménez, Marco A. Cardoso-Moreno, Fernando Aguilar Canto, Omar Juárez Gambino, Hiram Calvo

Computación y Sistemas (CyS), 2023

Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning.

Fernando Aguilar-Canto, Hiram Calvo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

GPT-2 versus GPT-3 and Bloom: LLMs for LLMs Generative Text Detection.

Fernando Aguilar-Canto, Marco A. Cardoso-Moreno, Diana Jiménez, Hiram Calvo

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

2022

The Role of the Number of Examples in Convolutional Neural Networks with Hebbian Learning.

Fernando Aguilar-Canto, Hiram Calvo

Proceedings of the Advances in Computational Intelligence, 2022

2020

Redes neuronales evolutivas con modelos de Lotka-Volterra.

Fernando Javier Aguilar Canto

Res. Comput. Sci., 2020

Convolutional Neural Networks with Hebbian-Based Rules in Online Transfer Learning.

Fernando Javier Aguilar Canto

Proceedings of the Advances in Soft Computing, 2020