Source: Anais. Conference titles: Congresso da Sociedade Brasileira de Computação - CSBC. Unidade: EACH
Subjects: FRAMEWORKS, INTELIGÊNCIA ARTIFICIAL
ABNT
DIGIAMPIETRI, Luciano Antonio et al. A framework for automatic composition of scientific experiments: achievements, lessons learned and challenges. 2014, Anais.. Porto Alegre: SBC, 2014. . Acesso em: 21 jul. 2024.APA
Digiampietri, L. A., Pérez-Alcázar, J. de J., Santiago, C. R. do N., Oliveira, G. A., Khouri, A. L., & Araújo, J. C. (2014). A framework for automatic composition of scientific experiments: achievements, lessons learned and challenges. In Anais. Porto Alegre: SBC.NLM
Digiampietri LA, Pérez-Alcázar J de J, Santiago CR do N, Oliveira GA, Khouri AL, Araújo JC. A framework for automatic composition of scientific experiments: achievements, lessons learned and challenges. Anais. 2014 ;[citado 2024 jul. 21 ]Vancouver
Digiampietri LA, Pérez-Alcázar J de J, Santiago CR do N, Oliveira GA, Khouri AL, Araújo JC. A framework for automatic composition of scientific experiments: achievements, lessons learned and challenges. Anais. 2014 ;[citado 2024 jul. 21 ]