Fernando Javier Aguilar Canto

Orcid: 0000-0002-7352-3182

Affiliations:
  • Instituto Politécnico Nacional, Computational Cognitive Sciences Laboratory, Center for Computing Research, Mexico


According to our database1, Fernando Javier Aguilar Canto authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Can convolutional neural networks approximate the phylogenetic tree of human populations with face images?
J. Intell. Fuzzy Syst., 2026

Simulating Textual Transmission With Natural Language Processing Techniques.
IEEE Access, 2026

2025
Echoes Dataset: Simulating Textual Transmission with Natural Language Processing Techniques.
Dataset, June, 2025

2024
Model discovery of compartmental models with Graph-Supported Neural Networks.
Appl. Math. Comput., March, 2024

Associative Interpretability of Hidden Semantics with Contrastiveness Operators in Face Classification Tasks.
Proceedings of the Explainable Artificial Intelligence, 2024

Neuroscience-Informed Interpretability of Intermediate Layers in Artificial Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Suicide Tendency Content Detection with Natural Language Processing and LIME Explainer.
Res. Comput. Sci., 2023

Clasificación de rostros con aprendizaje hebbiano para bases de datos pequeñas.
Res. Comput. Sci., 2023

PoSLemma: How Traditional Machine Learning and Linguistics Preprocessing Aid in Machine Generated Text Detection.
Computación y Sistemas (CyS), 2023

Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

GPT-2 versus GPT-3 and Bloom: LLMs for LLMs Generative Text Detection.
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.
Proceedings of the Advances in Computational Intelligence, 2022

2020
Redes neuronales evolutivas con modelos de Lotka-Volterra.
Res. Comput. Sci., 2020

Convolutional Neural Networks with Hebbian-Based Rules in Online Transfer Learning.
Proceedings of the Advances in Soft Computing, 2020


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