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Filtros : "Indexado no ACM Digital Library" "ICMC-SCC" Removidos: "NEUROLOGIA, PSIQUIATRIA E PSICOLOGIA MEDICA" "vm" "FO/EE/FSP" Limpar

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  • Artigo de periodico

    Predicting execution time of machine learning tasks for scheduling (2013)

    Priya, Rattan; Souza, Bruno Feres de; Rossi, André L. D; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      PRIYA, Rattan et al. Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, v. 10, p. 23-32, 2013Tradução . . Disponível em: https://doi.org/10.3233/HIS-130162. Acesso em: 26 jun. 2024.

    • APA

      Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2013). Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, 10, 23-32. doi:10.3233/HIS-130162

    • NLM

      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 jun. 26 ] Available from: https://doi.org/10.3233/HIS-130162

    • Vancouver

      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 jun. 26 ] Available from: https://doi.org/10.3233/HIS-130162

  • Artigo de periodico

    Improving hierarchical document cluster labels through candidate term selection (2012)

    Santos, Fabiano Fernandes dos; Carvalho, Veronica Oliveira de; Rezende, Solange Oliveira

    Source: Intelligent Decision Technologies. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      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: 26 jun. 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 jun. 26 ] 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 jun. 26 ] Available from: https://doi.org/10.3233/IDT-2012-0121

  • Artigo de periodico

    Adaptive learning in the educational e-LORS system: an approach based on preference categories (2011)

    Martinez Zaina, Luciana Aparecida ; Rodrigues Junior, José Fernando ; Cardieri, Maria Angelica Calixto de Andrade; Bressan, Graça

    Source: International Journal of Learning Technology. Unidades: ICMC, EP

    Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      MARTINEZ ZAINA, Luciana Aparecida et al. Adaptive learning in the educational e-LORS system: an approach based on preference categories. International Journal of Learning Technology, v. 6, n. 4, p. 341-361, 2011Tradução . . Disponível em: https://doi.org/10.1504/ijlt.2011.044628. Acesso em: 26 jun. 2024.

    • APA

      Martinez Zaina, L. A., Rodrigues Junior, J. F., Cardieri, M. A. C. de A., & Bressan, G. (2011). Adaptive learning in the educational e-LORS system: an approach based on preference categories. International Journal of Learning Technology, 6( 4), 341-361. doi:10.1504/ijlt.2011.044628

    • NLM

      Martinez Zaina LA, Rodrigues Junior JF, Cardieri MAC de A, Bressan G. Adaptive learning in the educational e-LORS system: an approach based on preference categories [Internet]. International Journal of Learning Technology. 2011 ; 6( 4): 341-361.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1504/ijlt.2011.044628

    • Vancouver

      Martinez Zaina LA, Rodrigues Junior JF, Cardieri MAC de A, Bressan G. Adaptive learning in the educational e-LORS system: an approach based on preference categories [Internet]. International Journal of Learning Technology. 2011 ; 6( 4): 341-361.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1504/ijlt.2011.044628
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