Campozano, L.; Robaina, L.; Gualco, L.F.; Maisincho, L.; VillacÃs, M.; Condom, T.; Ballari, D.; Páez, C.
Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models. Water 2021, 13, 3022.
https://doi.org/10.3390/w13213022
AMA Style
Campozano L, Robaina L, Gualco LF, Maisincho L, VillacÃs M, Condom T, Ballari D, Páez C.
Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models. Water. 2021; 13(21):3022.
https://doi.org/10.3390/w13213022
Chicago/Turabian Style
Campozano, Lenin, Leandro Robaina, Luis Felipe Gualco, Luis Maisincho, Marcos VillacÃs, Thomas Condom, Daniela Ballari, and Carlos Páez.
2021. "Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models" Water 13, no. 21: 3022.
https://doi.org/10.3390/w13213022
APA Style
Campozano, L., Robaina, L., Gualco, L. F., Maisincho, L., VillacÃs, M., Condom, T., Ballari, D., & Páez, C.
(2021). Parsimonious Models of Precipitation Phase Derived from Random Forest Knowledge: Intercomparing Logistic Models, Neural Networks, and Random Forest Models. Water, 13(21), 3022.
https://doi.org/10.3390/w13213022