APA (7th ed.) Citation

Aldeia, G. S. I., & de França, 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. https://doi.org/10.1007/s10710-022-09435-x

Chicago Style (17th ed.) Citation

Aldeia, Guilherme Seidyo Imai, and Fabrício Olivetti de França. "Interpretability in Symbolic Regression: A Benchmark of Explanatory Methods Using the Feynman Data Set." Genetic Programming and Evolvable Machines 23, no. 3 (2022): 309-349. https://doi.org/10.1007/s10710-022-09435-x.

MLA (9th ed.) Citation

Aldeia, Guilherme Seidyo Imai, and Fabrício Olivetti de França. "Interpretability in Symbolic Regression: A Benchmark of Explanatory Methods Using the Feynman Data Set." Genetic Programming and Evolvable Machines, vol. 23, no. 3, 2022, pp. 309-349, https://doi.org/10.1007/s10710-022-09435-x.