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Artigo de periodico
Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks (2016)
Matsuno, Ivone P; Rossi, Rafael G; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Journal of Information and Data Management - JIDM. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATSUNO, Ivone P et al. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 141-154, 2016Tradução . . Disponível em: https://seer.ufmg.br/index.php/jidm/article/view/1619. Acesso em: 11 nov. 2025.
APA
Matsuno, I. P., Rossi, R. G., Marcacini, R. M., & Rezende, S. O. (2016). Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks. Journal of Information and Data Management - JIDM, 7( 2), 141-154. Recuperado de https://seer.ufmg.br/index.php/jidm/article/view/1619
NLM
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 nov. 11 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
Vancouver
Matsuno IP, Rossi RG, Marcacini RM, Rezende SO. Aspect-based sentiment analysis using semi-supervised learning in bipartite heterogeneous networks [Internet]. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 141-154.[citado 2025 nov. 11 ] Available from: https://seer.ufmg.br/index.php/jidm/article/view/1619
Artigo de periodico
Better initialization heuristics for order-based bayesian network structure learning (2016)
Urcia, Walter Perez; Mauá, Denis Deratani
Source: Journal of Information and Data Management - JIDM. Unidade: IME
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
URCIA, Walter Perez e MAUÁ, Denis Deratani. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM, v. 7, n. 2, p. 181-195, 2016Tradução . . Acesso em: 11 nov. 2025.
APA
Urcia, W. P., & Mauá, D. D. (2016). Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM, 7( 2), 181-195.
NLM
Urcia WP, Mauá DD. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 181-195.[citado 2025 nov. 11 ]
Vancouver
Urcia WP, Mauá DD. Better initialization heuristics for order-based bayesian network structure learning. Journal of Information and Data Management - JIDM. 2016 ; 7( 2): 181-195.[citado 2025 nov. 11 ]
Trabalho de evento-anais periodico
Unsupervised instance selection from text streams (2014)
Bonin, Rafael; Marcacini, Ricardo Marcondes ; Rezende, Solange Oliveira
Source: Journal of Information and Data Management - JIDM. Conference titles: Brazilian Symposium on Databases - SBBD. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIN, Rafael e MARCACINI, Ricardo Marcondes e REZENDE, Solange Oliveira. Unsupervised instance selection from text streams. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287. Acesso em: 11 nov. 2025. , 2014
APA
Bonin, R., Marcacini, R. M., & Rezende, S. O. (2014). Unsupervised instance selection from text streams. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
NLM
Bonin R, Marcacini RM, Rezende SO. Unsupervised instance selection from text streams [Internet]. Journal of Information and Data Management - JIDM. 2014 ; fe 2014( 1): 114-123.[citado 2025 nov. 11 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
Vancouver
Bonin R, Marcacini RM, Rezende SO. Unsupervised instance selection from text streams [Internet]. Journal of Information and Data Management - JIDM. 2014 ; fe 2014( 1): 114-123.[citado 2025 nov. 11 ] Available from: https://seer.lcc.ufmg.br/index.php/jidm/article/view/287
Trabalho de evento-anais periodico
Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning (2013)
Covões, Thiago F; Barros, Rodrigo C; Silva, Tiago S. da; Hruschka, Eduardo Raul ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Journal of Information and Data Management - JIDM. Conference titles: 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: 11 nov. 2025. , 2013
APA
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/256
NLM
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. 11 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256
Vancouver
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. 11 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256

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