Fonte: Computers & Geosciences. Unidade: EP
Assunto: REDES E COMUNICAÇÃO DE DADOS
ABNT
RANAZZI, Paulo Henrique e XIAODONG, Luo e PINTO, Marcio Augusto Sampaio. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, v. no 2024, p. 13 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2024.105747. Acesso em: 13 nov. 2025.APA
Ranazzi, P. H., Xiaodong, L., & Pinto, M. A. S. (2024). Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, no 2024, 13 . doi:10.1016/j.cageo.2024.105747NLM
Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747Vancouver
Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 13 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747
