Guilherme Aldeia

Guilherme Aldeia is a Ph.D. student in the field of Computer Science at the Universidade Federal do ABC. He graduated in Computer Science and Neuroscience, obtained a Master’s degree in Computer Science, and is interested in symbolic regression, interpretability, heuristics, and computational models. His past works focused on interpretability in symbolic regression, the usage of fMRI data in machine learning, and computational neural models. In 2017, he decided to pursue an academic career, aiming to become a researcher and professor.

Recent Papers

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing

Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava (2024)

Proceedings of the Genetic and Evolutionary Computation Conference

arXiv  |  pdf  |  code

Minimum variance threshold for epsilon-lexicase selection

Guilherme Seidyo Imai Aldeia, Fabrício Olivetti De França, William G. La Cava (2024)

Proceedings of the Genetic and Evolutionary Computation Conference

dl.acm.org  |  arXiv  |  pdf  |  code

Recent Posts

Simplifying symbolic regression models without simplification rules

6 minute read

Relaxing the definition of equivalent mathematical expressions to get more simpler and interpretable models