Filtros : "Indexado no Current Contents" "MINERAÇÃO DE DADOS" "Holanda" "ICMC" Removidos: "Université Grenoble Alpes" "Isotani, Seiji" "PAULOVICH, FERNANDO VIEIRA" "1982" "Financiamento NSERC" Limpar

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  • Source: Decision Support Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      MARCACINI, Ricardo Marcondes et al. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach. Decision Support Systems, v. 114, p. 70-80, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.dss.2018.08.009. Acesso em: 16 out. 2024.
    • APA

      Marcacini, R. M., Rossi, R. G., Matsuno, I. P., & Rezende, S. O. (2018). Cross-domain aspect extraction for sentiment analysis: a transductive learning approach. Decision Support Systems, 114, 70-80. doi:10.1016/j.dss.2018.08.009
    • NLM

      Marcacini RM, Rossi RG, Matsuno IP, Rezende SO. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach [Internet]. Decision Support Systems. 2018 ; 114 70-80.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.dss.2018.08.009
    • Vancouver

      Marcacini RM, Rossi RG, Matsuno IP, Rezende SO. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach [Internet]. Decision Support Systems. 2018 ; 114 70-80.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.dss.2018.08.009
  • Source: Knowledge-Based Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS

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    • ABNT

      PEREIRA, Andre Luiz Vizine e HRUSCHKA, Eduardo Raul. Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, v. 82, p. 11-19, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2015.02.016. Acesso em: 16 out. 2024.
    • APA

      Pereira, A. L. V., & Hruschka, E. R. (2015). Simultaneous co-clustering and learning to address the cold start problem in recommender systems. Knowledge-Based Systems, 82, 11-19. doi:10.1016/j.knosys.2015.02.016
    • NLM

      Pereira ALV, Hruschka ER. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [Internet]. Knowledge-Based Systems. 2015 ; 82 11-19.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.02.016
    • Vancouver

      Pereira ALV, Hruschka ER. Simultaneous co-clustering and learning to address the cold start problem in recommender systems [Internet]. Knowledge-Based Systems. 2015 ; 82 11-19.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.02.016
  • Source: Pattern Recognition Letters. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS

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      CORRÊA, Geraldo N et al. Interactive textual feature selection for consensus clustering. Pattern Recognition Letters, v. 52, n. ja 2015, p. 25-31, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2014.09.008. Acesso em: 16 out. 2024.
    • APA

      Corrêa, G. N., Marcacini, R. M., Hruschka, E. R., & Rezende, S. O. (2015). Interactive textual feature selection for consensus clustering. Pattern Recognition Letters, 52( ja 2015), 25-31. doi:10.1016/j.patrec.2014.09.008
    • NLM

      Corrêa GN, Marcacini RM, Hruschka ER, Rezende SO. Interactive textual feature selection for consensus clustering [Internet]. Pattern Recognition Letters. 2015 ; 52( ja 2015): 25-31.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.patrec.2014.09.008
    • Vancouver

      Corrêa GN, Marcacini RM, Hruschka ER, Rezende SO. Interactive textual feature selection for consensus clustering [Internet]. Pattern Recognition Letters. 2015 ; 52( ja 2015): 25-31.[citado 2024 out. 16 ] Available from: https://doi.org/10.1016/j.patrec.2014.09.008

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