Data Types as a More Ergonomic Frontend for Grammar-Guided Genetic Programming. - Guilherme Espada; Leon Ingelse; Paulo Canelas; Pedro Barbosa; Alcides Fonseca (GPCE, 2022)

Personalised Gait Recognition for People with Neurological Conditions. - Leon Ingelse; Diogo Branco; Hristijan Gjoreski; Tiago João Guerreiro 001; Raquel Bouça-Machado; Joaquim J. Ferreira; C. N. S. Physiotherapy Study Group (Sensors, 2022)

Domain-Aware Feature Learning with Grammar-Guided Genetic Programming. - Leon Ingelse; Alcides Fonseca (EuroGP, 2023)

Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. - Leon Ingelse; José Ignacio Hidalgo; José Manuel Colmenar; Nuno Lourenço 002; Alcides Fonseca (GECCO Companion, 2023)

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (CoRR, 2023)

A comparison of representations in grammar-guided genetic programming in the context of glucose prediction in people with diabetes. - Leon Ingelse; José Ignacio Hidalgo; J. Manuel Colmenar; Nuno Lourenço 002; Alcides Fonseca (Genet. Program. Evolvable Mach., 2025)

SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation. - Fabrício Olivetti de França; Marco Virgolin; Michael Kommenda; Maimuna S. Majumder; Miles D. Cranmer; Guilherme Espada; Leon Ingelse; Alcides Fonseca; Mikel Landajuela; Brenden K. Petersen; Ruben Glatt; T. Nathan Mundhenk; et al. (IEEE Trans. Evol. Comput., 2025)