@article{paixão_penido_cury_mendes_2022,  title={Comparison of machine learning techniques to predict the compressive strength of concrete and considerations on model generalization},  volume={15},  ISSN={1983-4195},  url={https://doi.org/10.1590/S1983-41952022000500003},  DOI={10.1590/S1983-41952022000500003},  number={5},  journal={Revista IBRACON de Estruturas e Materiais},  publisher={IBRACON - Instituto Brasileiro do Concreto},  author={Paixão, Rafael Christian Fonseca da and Penido, Rúben El-Katib and Cury, Alexandre Abrahão and Mendes, Júlia Castro},  year={2022},  pages={e15503} }