Publications
You can find a detailed list of my publications on my Google Scholar profile.
Highlighted publications:
de Franca, F. O., & de Lima, M. Z. (2021). Interaction-transformation symbolic regression with extreme learning machine. Neurocomputing, 423, 609-619. pub
La Cava, W., Burlacu, B., Virgolin, M., Kommenda, M., Orzechowski, P., de França, F. O., … & Moore, J. H. (2021). Contemporary symbolic regression methods and their relative performance. Advances in neural information processing systems, 2021(DB1), 1. arxiv
Kronberger, G., de França, F. O., Burlacu, B., Haider, C., & Kommenda, M. (2022). Shape-constrained symbolic regression—improving extrapolation with prior knowledge. Evolutionary Computation, 30(1), 75-98. arxiv
Aldeia, G. S. I., & de Franca, F. O. (2022). Interpretability in symbolic regression: a benchmark of explanatory methods using the Feynman data set. Genetic Programming and Evolvable Machines, 23(3), 309-349. arxiv
de França, F. O. (2022, July). Transformation-interaction-rational representation for symbolic regression. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 920-928). arxiv
de Franca, F. O., & Kronberger, G. (2023, July). Reducing Overparameterization of Symbolic Regression Models with Equality Saturation. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1064-1072). pub
de Franca, F. O., Virgolin, M., Kommenda, M., Majumder, M. S., Cranmer, M., Espada, G., … & La Cavaz, W. G. (2024). SRBench++: Principled benchmarking of symbolic regression with domain-expert interpretation. IEEE transactions on evolutionary computation. pub
Russeil, E., de França, F. O., Malanchev, K., Burlacu, B., Ishida, E., Leroux, M., … & Gangler, E. (2024, July). Multiview Symbolic Regression. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 961-970). arxiv
Fernandes, M.C., França, F.O.d., Francesquini, E. (2025). Going Bananas! - Unfolding Program Synthesis with Origami. In: Paes, A., Verri, F.A.N. (eds) Intelligent Systems. BRACIS 2024. Lecture Notes in Computer Science(), vol 15413. Springer, Cham. https://doi.org/10.1007/978-3-031-79032-4_1 arxiv
de França, F. O., & Kronberger, G. (2025). Improving Genetic Programming for Symbolic Regression with Equality Graphs. arXiv preprint arXiv:2501.17848. arxiv
de França, F. O., & Kronberger, G. (2025). rEGGression: an Interactive and Agnostic Tool for the Exploration of Symbolic Regression Models. arXiv preprint arXiv:2501.17859. arxiv