Gerassis, S.; Giráldez, E.; Pazo-Rodríguez, M.; Saavedra, Á.; Taboada, J.
AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling. Appl. Sci. 2021, 11, 7914.
https://doi.org/10.3390/app11177914
AMA Style
Gerassis S, Giráldez E, Pazo-Rodríguez M, Saavedra Á, Taboada J.
AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling. Applied Sciences. 2021; 11(17):7914.
https://doi.org/10.3390/app11177914
Chicago/Turabian Style
Gerassis, Saki, Eduardo Giráldez, María Pazo-Rodríguez, Ángeles Saavedra, and Javier Taboada.
2021. "AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling" Applied Sciences 11, no. 17: 7914.
https://doi.org/10.3390/app11177914
APA Style
Gerassis, S., Giráldez, E., Pazo-Rodríguez, M., Saavedra, Á., & Taboada, J.
(2021). AI Approaches to Environmental Impact Assessments (EIAs) in the Mining and Metals Sector Using AutoML and Bayesian Modeling. Applied Sciences, 11(17), 7914.
https://doi.org/10.3390/app11177914