Interpretable symbolic regression for data science: Analysis of the 2022 competition FO de França, M Virgolin, M Kommenda, MS Majumder, M Cranmer, ... arXiv preprint arXiv:2304.01117, 2023 | 14 | 2023 |
Data types as a more ergonomic frontend for grammar-guided genetic programming G Espada, L Ingelse, P Canelas, P Barbosa, A Fonseca Proceedings of the 21st ACM SIGPLAN International Conference on Generative …, 2022 | 12 | 2022 |
SRBench++: Principled benchmarking of symbolic regression with domain-expert interpretation FO de Franca, M Virgolin, M Kommenda, MS Majumder, M Cranmer, ... IEEE transactions on evolutionary computation, 2024 | 7 | 2024 |
Benchmarking individual representation in grammar-guided genetic programming L Ingelse, G Espada, A Fonseca Technical report, Universidade de Lisboa, 2022 | 2 | 2022 |
Grammatical evolution mapping for semantically-constrained genetic programming A Fonseca, P Santos, G Espada, S Silva Genetic Programming Theory and Practice XVIII, 45-62, 2022 | 1 | 2022 |
Type Systems in Resource-Aware Programming: Opportunities and Challenges A Fonseca, G Espada arXiv preprint arXiv:2205.15211, 2022 | | 2022 |