Anzai, T.K.; de Brito, G.M.; Lemos, T.S.M.; Santos, J.S.; Furtado, P.H.T.; Pinto, J.C.
Instance Selection Strategies to Improve the Performance of Data-Driven Regression Models Applied to Industrial Systems. Processes 2025, 13, 2187.
https://doi.org/10.3390/pr13072187
AMA Style
Anzai TK, de Brito GM, Lemos TSM, Santos JS, Furtado PHT, Pinto JC.
Instance Selection Strategies to Improve the Performance of Data-Driven Regression Models Applied to Industrial Systems. Processes. 2025; 13(7):2187.
https://doi.org/10.3390/pr13072187
Chicago/Turabian Style
Anzai, Thiago K., Gabriel Marcal de Brito, Tiago S. M. Lemos, Jaqueline Sousa Santos, Pedro H. T. Furtado, and José Carlos Pinto.
2025. "Instance Selection Strategies to Improve the Performance of Data-Driven Regression Models Applied to Industrial Systems" Processes 13, no. 7: 2187.
https://doi.org/10.3390/pr13072187
APA Style
Anzai, T. K., de Brito, G. M., Lemos, T. S. M., Santos, J. S., Furtado, P. H. T., & Pinto, J. C.
(2025). Instance Selection Strategies to Improve the Performance of Data-Driven Regression Models Applied to Industrial Systems. Processes, 13(7), 2187.
https://doi.org/10.3390/pr13072187
