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  • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, MICROALGAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      BORGES, Vinicius R. P et al. Region growing for segmenting green microalgae images. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. Jan./Fe 2018, n. 1, p. 257-270, 2018Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2016.2615606. Acesso em: 16 nov. 2025.
    • APA

      Borges, V. R. P., Oliveira, M. C. F. de, Silva, T. G., Vieira, A. A. H., & Hamann, B. (2018). Region growing for segmenting green microalgae images. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Jan./Fe 2018( 1), 257-270. doi:10.1109/TCBB.2016.2615606
    • NLM

      Borges VRP, Oliveira MCF de, Silva TG, Vieira AAH, Hamann B. Region growing for segmenting green microalgae images [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018 ; Jan./Fe 2018( 1): 257-270.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2016.2615606
    • Vancouver

      Borges VRP, Oliveira MCF de, Silva TG, Vieira AAH, Hamann B. Region growing for segmenting green microalgae images [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2018 ; Jan./Fe 2018( 1): 257-270.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2016.2615606
  • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      HORTA, Danilo e CAMPELLO, Ricardo José Gabrielli Barreto. Similarity measures for comparing biclusterings. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 11, n. 5, p. 942-954, 2014Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2014.2325016. Acesso em: 16 nov. 2025.
    • APA

      Horta, D., & Campello, R. J. G. B. (2014). Similarity measures for comparing biclusterings. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11( 5), 942-954. doi:10.1109/TCBB.2014.2325016
    • NLM

      Horta D, Campello RJGB. Similarity measures for comparing biclusterings [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2014 ; 11( 5): 942-954.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2014.2325016
    • Vancouver

      Horta D, Campello RJGB. Similarity measures for comparing biclusterings [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2014 ; 11( 5): 942-954.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2014.2325016
  • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      JASKOWIAK, Pablo A e CAMPELLO, Ricardo José Gabrielli Barreto e COSTA, Ivan G. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 10, n. 4, p. 845-857, 2013Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2013.9. Acesso em: 16 nov. 2025.
    • APA

      Jaskowiak, P. A., Campello, R. J. G. B., & Costa, I. G. (2013). Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10( 4), 845-857. doi:10.1109/TCBB.2013.9
    • NLM

      Jaskowiak PA, Campello RJGB, Costa IG. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 4): 845-857.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2013.9
    • Vancouver

      Jaskowiak PA, Campello RJGB, Costa IG. Proximity measures for clustering gene expression microarray data: a validation methodology and a comparative analysis [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2013 ; 10( 4): 845-857.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2013.9
  • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      CAMPELLO, Ricardo José Gabrielli Barreto e MOULAVI, Davoud e SANDER, Joerg. A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. no/dez. 2012, n. 6, p. 1850-1852, 2012Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2012.115. Acesso em: 16 nov. 2025.
    • APA

      Campello, R. J. G. B., Moulavi, D., & Sander, J. (2012). A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, no/dez. 2012( 6), 1850-1852. doi:10.1109/TCBB.2012.115
    • NLM

      Campello RJGB, Moulavi D, Sander J. A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2012 ; no/dez. 2012( 6): 1850-1852.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2012.115
    • Vancouver

      Campello RJGB, Moulavi D, Sander J. A simpler and more accurate AUTO-HDS framework for clustering and visualization of biological data [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2012 ; no/dez. 2012( 6): 1850-1852.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1109/TCBB.2012.115

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