Covões, Thiago F; Barros, Rodrigo C; Silva, Tiago S. da; Hruschka, Eduardo Raul 
; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Journal of Information and Data Management - JIDM. Nome do evento: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago F et al. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256. Acesso em: 20 nov. 2025. , 2013APA
Covões, T. F., Barros, R. C., Silva, T. S. da, Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2013). Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de http://seer.lcc.ufmg.br/index.php/jidm/article/view/256NLM
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2025 nov. 20 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256Vancouver
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2025 nov. 20 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256
