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  • Source: Expert Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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    • ABNT

      SUNDERMANN, Camila Vaccari et al. A context-aware recommender method based on text and opinion mining. Expert Systems, v. 37, n. 6, p. 1-21, 2020Tradução . . Disponível em: https://doi.org/10.1111/exsy.12618. Acesso em: 08 out. 2024.
    • APA

      Sundermann, C. V., Padua, R. de, Tonon, V. R., Marcacini, R. M., Domingues, M. A., & Rezende, S. O. (2020). A context-aware recommender method based on text and opinion mining. Expert Systems, 37( 6), 1-21. doi:10.1111/exsy.12618
    • NLM

      Sundermann CV, Padua R de, Tonon VR, Marcacini RM, Domingues MA, Rezende SO. A context-aware recommender method based on text and opinion mining [Internet]. Expert Systems. 2020 ; 37( 6): 1-21.[citado 2024 out. 08 ] Available from: https://doi.org/10.1111/exsy.12618
    • Vancouver

      Sundermann CV, Padua R de, Tonon VR, Marcacini RM, Domingues MA, Rezende SO. A context-aware recommender method based on text and opinion mining [Internet]. Expert Systems. 2020 ; 37( 6): 1-21.[citado 2024 out. 08 ] Available from: https://doi.org/10.1111/exsy.12618
  • Source: Computers and Electronics in Agriculture. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE PADRÕES, AGRICULTURA DE PRECISÃO, ADUBO VERDE

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    • ABNT

      CALÇADA, Dario Brito e REZENDE, Solange Oliveira e TEODORO, Mauro Sergio. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, v. 159, p. 34-41, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.02.013. Acesso em: 08 out. 2024.
    • APA

      Calçada, D. B., Rezende, S. O., & Teodoro, M. S. (2019). Analysis of green manure decomposition parameters in northeast Brazil using association rule networks. Computers and Electronics in Agriculture, 159, 34-41. doi:10.1016/j.compag.2019.02.013
    • NLM

      Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
    • Vancouver

      Calçada DB, Rezende SO, Teodoro MS. Analysis of green manure decomposition parameters in northeast Brazil using association rule networks [Internet]. Computers and Electronics in Agriculture. 2019 ; 159 34-41.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2019.02.013
  • Source: Knowledge-Based Systems. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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      SINOARA, Roberta Akemi et al. Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, v. 163, n. Ja 2019, p. 955-971, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2018.10.026. Acesso em: 08 out. 2024.
    • APA

      Sinoara, R. A., Camacho-Collados, J., Rossi, R. G., Navigli, R., & Rezende, S. O. (2019). Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, 163( Ja 2019), 955-971. doi:10.1016/j.knosys.2018.10.026
    • NLM

      Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
    • Vancouver

      Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO

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      SANTOS, Fabiano Fernandes dos et al. Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, v. 112, p. 34-60, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2018.06.021. Acesso em: 08 out. 2024.
    • APA

      Santos, F. F. dos, Domingues, M. A., Sundermann, C. V., Carvalho, V. O. de, Moura, M. F., & Rezende, S. O. (2018). Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Systems with Applications, 112, 34-60. doi:10.1016/j.eswa.2018.06.021
    • NLM

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
    • Vancouver

      Santos FF dos, Domingues MA, Sundermann CV, Carvalho VO de, Moura MF, Rezende SO. Latent association rule cluster based model to extract topics for classification and recommendation applications [Internet]. Expert Systems with Applications. 2018 ; 112 34-60.[citado 2024 out. 08 ] Available from: https://doi.org/10.1016/j.eswa.2018.06.021
  • Source: Intelligent Data Analysis. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS

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      SOUZA, Vinícius M. A et al. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, v. 21, n. 5, p. 1061-1095, 2017Tradução . . Disponível em: https://doi.org/10.3233/IDA-163075. Acesso em: 08 out. 2024.
    • APA

      Souza, V. M. A., Rossi, R. G., Batista, G. E. de A. P. A., & Rezende, S. O. (2017). Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, 21( 5), 1061-1095. doi:10.3233/IDA-163075
    • NLM

      Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/IDA-163075
    • Vancouver

      Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/IDA-163075
  • Source: Journal of the Brazilian Computer Society. Unidade: ICMC

    Subjects: MINERAÇÃO DE DADOS, SEMÂNTICA, REVISÃO SISTEMÁTICA

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    • ABNT

      SINOARA, Roberta Akemi e ANTUNES, João e REZENDE, Solange Oliveira. Text mining and semantics: a systematic mapping study. Journal of the Brazilian Computer Society, v. 23, p. 1-20, 2017Tradução . . Disponível em: https://doi.org/10.1186/s13173-017-0058-7. Acesso em: 08 out. 2024.
    • APA

      Sinoara, R. A., Antunes, J., & Rezende, S. O. (2017). Text mining and semantics: a systematic mapping study. Journal of the Brazilian Computer Society, 23, 1-20. doi:10.1186/s13173-017-0058-7
    • NLM

      Sinoara RA, Antunes J, Rezende SO. Text mining and semantics: a systematic mapping study [Internet]. Journal of the Brazilian Computer Society. 2017 ; 23 1-20.[citado 2024 out. 08 ] Available from: https://doi.org/10.1186/s13173-017-0058-7
    • Vancouver

      Sinoara RA, Antunes J, Rezende SO. Text mining and semantics: a systematic mapping study [Internet]. Journal of the Brazilian Computer Society. 2017 ; 23 1-20.[citado 2024 out. 08 ] Available from: https://doi.org/10.1186/s13173-017-0058-7
  • Source: Intelligent Decision Technologies. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      SANTOS, Fabiano Fernandes dos e CARVALHO, Veronica Oliveira de e REZENDE, Solange Oliveira. Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, n. 1, p. 43-58, 2012Tradução . . Disponível em: https://doi.org/10.3233/IDT-2012-0121. Acesso em: 08 out. 2024.
    • APA

      Santos, F. F. dos, Carvalho, V. O. de, & Rezende, S. O. (2012). Improving hierarchical document cluster labels through candidate term selection. Intelligent Decision Technologies, ( 1), 43-58. doi:10.3233/IDT-2012-0121
    • NLM

      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/IDT-2012-0121
    • Vancouver

      Santos FF dos, Carvalho VO de, Rezende SO. Improving hierarchical document cluster labels through candidate term selection [Internet]. Intelligent Decision Technologies. 2012 ;( 1): 43-58.[citado 2024 out. 08 ] Available from: https://doi.org/10.3233/IDT-2012-0121

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