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  • Artigo de periodico

    What can violations of good practices tell about the relationship between GoF patterns and run-time quality attributes? (2019)

    Feitosa, Daniel; Ampatzoglou, Apostolos; Avgeriou, Paris; Chatzigeorgiou, Alexander; Nakagawa, Elisa Yumi

    Source: Information and Software Technology. Unidade: ICMC

    Subjects: ENGENHARIA DE SOFTWARE, ARQUITETURA DE SOFTWARE, DESIGN, QUALIDADE DE SOFTWARE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      FEITOSA, Daniel et al. What can violations of good practices tell about the relationship between GoF patterns and run-time quality attributes?. Information and Software Technology, v. 105, n. Ja 2019, p. 1-16, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.infsof.2017.10.014. Acesso em: 25 jun. 2024.

    • APA

      Feitosa, D., Ampatzoglou, A., Avgeriou, P., Chatzigeorgiou, A., & Nakagawa, E. Y. (2019). What can violations of good practices tell about the relationship between GoF patterns and run-time quality attributes? Information and Software Technology, 105( Ja 2019), 1-16. doi:10.1016/j.infsof.2017.10.014

    • NLM

      Feitosa D, Ampatzoglou A, Avgeriou P, Chatzigeorgiou A, Nakagawa EY. What can violations of good practices tell about the relationship between GoF patterns and run-time quality attributes? [Internet]. Information and Software Technology. 2019 ; 105( Ja 2019): 1-16.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.infsof.2017.10.014

    • Vancouver

      Feitosa D, Ampatzoglou A, Avgeriou P, Chatzigeorgiou A, Nakagawa EY. What can violations of good practices tell about the relationship between GoF patterns and run-time quality attributes? [Internet]. Information and Software Technology. 2019 ; 105( Ja 2019): 1-16.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.infsof.2017.10.014

  • Artigo de periodico

    A systematic review of multi-label feature selection and a new method based on label construction (2016)

    Spolaôr, Newton; Monard, Maria Carolina ; Tsoumakas, Grigorios; Lee, Huei Diana

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SPOLAÔR, Newton et al. A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing, v. 180, p. 3-15, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.07.118. Acesso em: 25 jun. 2024.

    • APA

      Spolaôr, N., Monard, M. C., Tsoumakas, G., & Lee, H. D. (2016). A systematic review of multi-label feature selection and a new method based on label construction. Neurocomputing, 180, 3-15. doi:10.1016/j.neucom.2015.07.118

    • NLM

      Spolaôr N, Monard MC, Tsoumakas G, Lee HD. A systematic review of multi-label feature selection and a new method based on label construction [Internet]. Neurocomputing. 2016 ; 180 3-15.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.118

    • Vancouver

      Spolaôr N, Monard MC, Tsoumakas G, Lee HD. A systematic review of multi-label feature selection and a new method based on label construction [Internet]. Neurocomputing. 2016 ; 180 3-15.[citado 2024 jun. 25 ] Available from: https://doi.org/10.1016/j.neucom.2015.07.118
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