22 citations · 28 across the 7 of their papers we have counts for
7 papers
Towards symbolic regression for interpretable clinical decision scores
Guilherme Seidyo Imai Aldeia, Joseph D. Romano, Fabricio Olivetti de Franca +2
Medical decision-making makes frequent use of algorithms that combine risk equations with rules, providing clear and standardized treatment pathways. Symbolic regression (SR) tradi…
Current Challenges of Symbolic Regression: Optimization, Selection, Model Simplification, and Benchmarking
Guilherme Seidyo Imai Aldeia
Symbolic Regression (SR) is a regression method that aims to discover mathematical expressions that describe the relationship between variables, and it is often implemented through…
Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models
Guilherme Seidyo Imai Aldeia, Daniel S. Herman, William G. La Cava
Large language models (LLMs) have demonstrated remarkable capabilities for medical question answering and programming, but their potential for generating interpretable computable p…
Minimum variance threshold for epsilon-lexicase selection
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Parent selection plays an important role in evolutionary algorithms, and many strategies exist to select the parent pool before breeding the next generation. Methods often rely on…
Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca
In some situations, the interpretability of the machine learning models plays a role as important as the model accuracy. Interpretability comes from the need to trust the predictio…
Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing
Guilherme Seidyo Imai Aldeia, Fabricio Olivetti de Franca, William G. La Cava
Symbolic regression (SR) searches for parametric models that accurately fit a dataset, prioritizing simplicity and interpretability. Despite this secondary objective, studies point…
Interaction-Transformation Evolutionary Algorithm for Symbolic Regression
Fabricio Olivetti de Franca, Guilherme Seidyo Imai Aldeia
The Interaction-Transformation (IT) is a new representation for Symbolic Regression that restricts the search space into simpler, but expressive, function forms. This representatio…