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  • Artigo de periodico

    MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical (2022)

    Bonidia, Robson Parmezan ; Domingues, Douglas S ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: Briefings in Bioinformatics. Unidade: ICMC

    Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, PYTHON

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

    • ABNT

      BONIDIA, Robson Parmezan et al. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, v. 23, n. 1, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab434. Acesso em: 19 out. 2024.

    • APA

      Bonidia, R. P., Domingues, D. S., Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, 23( 1), 1-10. doi:10.1093/bib/bbab434

    • NLM

      Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbab434

    • Vancouver

      Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbab434

  • Artigo de periodico

    Topology optimization including a model of the layer-by-layer additive manufacturing process (2022)

    Haveroth, Geovane Augusto ; Thore, Carl-Johan ; Correa, M. R; Ausas, Roberto Federico ; Jakobsson, S; Cuminato, José Alberto ; Klarbring, Anders

    Source: Computer Methods in Applied Mechanics and Engineering. Unidade: ICMC

    Subjects: CONDUTIVIDADE TÉRMICA, PYTHON, MANUFATURA ADITIVA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      HAVEROTH, Geovane Augusto et al. Topology optimization including a model of the layer-by-layer additive manufacturing process. Computer Methods in Applied Mechanics and Engineering, v. 398, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cma.2022.115203. Acesso em: 19 out. 2024.

    • APA

      Haveroth, G. A., Thore, C. -J., Correa, M. R., Ausas, R. F., Jakobsson, S., Cuminato, J. A., & Klarbring, A. (2022). Topology optimization including a model of the layer-by-layer additive manufacturing process. Computer Methods in Applied Mechanics and Engineering, 398, 1-26. doi:10.1016/j.cma.2022.115203

    • NLM

      Haveroth GA, Thore C-J, Correa MR, Ausas RF, Jakobsson S, Cuminato JA, Klarbring A. Topology optimization including a model of the layer-by-layer additive manufacturing process [Internet]. Computer Methods in Applied Mechanics and Engineering. 2022 ; 398 1-26.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.cma.2022.115203

    • Vancouver

      Haveroth GA, Thore C-J, Correa MR, Ausas RF, Jakobsson S, Cuminato JA, Klarbring A. Topology optimization including a model of the layer-by-layer additive manufacturing process [Internet]. Computer Methods in Applied Mechanics and Engineering. 2022 ; 398 1-26.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.cma.2022.115203

  • Artigo de periodico

    River: machine learning for streaming data in Python (2021)

    Montiel, Jacob ; Halford, Max; Mastelini, Saulo Martiello ; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo ; Read, Jesse ; Abdessalem, Talel ; Bifet, Albert

    Source: Journal of Machine Learning Research. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, PYTHON

    Versão PublicadaAcesso à fonteHow to cite
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    • ABNT

      MONTIEL, Jacob et al. River: machine learning for streaming data in Python. Journal of Machine Learning Research, v. 22, p. 1-8, 2021Tradução . . Disponível em: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf. Acesso em: 19 out. 2024.

    • APA

      Montiel, J., Halford, M., Mastelini, S. M., Bolmier, G., Sourty, R., Vaysse, R., et al. (2021). River: machine learning for streaming data in Python. Journal of Machine Learning Research, 22, 1-8. Recuperado de https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf

    • NLM

      Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 out. 19 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf

    • Vancouver

      Montiel J, Halford M, Mastelini SM, Bolmier G, Sourty R, Vaysse R, Zouitine A, Gomes HM, Read J, Abdessalem T, Bifet A. River: machine learning for streaming data in Python [Internet]. Journal of Machine Learning Research. 2021 ; 22 1-8.[citado 2024 out. 19 ] Available from: https://www.jmlr.org/papers/volume22/20-1380/20-1380.pdf
  • 1

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