Filtros : "IEEE Transactions on Visualization and Computer Graphics" "APRENDIZADO COMPUTACIONAL" Removido: "Financiamento CNPq" Limpar

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  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: APRENDIZADO COMPUTACIONAL, CRIMINALIDADE, TOMADA DE DECISÃO, ANÁLISE DE DADOS

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    • ABNT

      RAIMUNDO, Marcos M et al. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 10, p. 9008-9023, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2025.3586202. Acesso em: 19 nov. 2025.
    • APA

      Raimundo, M. M., Garcia-Zanabria, G., Nonato, L. G., & Poco, J. (2025). CounterCrime: Using counterfactual explanations to explore crime reduction scenarios. IEEE Transactions on Visualization and Computer Graphics, 31( 10), 9008-9023. doi:10.1109/TVCG.2025.3586202
    • NLM

      Raimundo MM, Garcia-Zanabria G, Nonato LG, Poco J. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 9008-9023.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2025.3586202
    • Vancouver

      Raimundo MM, Garcia-Zanabria G, Nonato LG, Poco J. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 9008-9023.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2025.3586202
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: IME

    Assuntos: BENCHMARKING, APRENDIZADO COMPUTACIONAL, ESTRUTURAS DE DADOS

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    • ABNT

      ESPADOTO, Mateus et al. Toward a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 3, p. 2153-2173, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2019.2944182. Acesso em: 19 nov. 2025.
    • APA

      Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2021). Toward a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27( 3), 2153-2173. doi:10.1109/TVCG.2019.2944182
    • NLM

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Toward a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2019.2944182
    • Vancouver

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Toward a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2019.2944182
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL

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    • ABNT

      POPOLIN NETO, Mário e PAULOVICH, Fernando Vieira. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 2, p. 1427-1437, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.3030354. Acesso em: 19 nov. 2025.
    • APA

      Popolin Neto, M., & Paulovich, F. V. (2021). Explainable matrix: visualization for global and local interpretability of random forest classification ensembles. IEEE Transactions on Visualization and Computer Graphics, 27( 2), 1427-1437. doi:10.1109/TVCG.2020.3030354
    • NLM

      Popolin Neto M, Paulovich FV. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 1427-1437.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
    • Vancouver

      Popolin Neto M, Paulovich FV. Explainable matrix: visualization for global and local interpretability of random forest classification ensembles [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 1427-1437.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

    Versão AceitaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      ESPADOTO, Mateus et al. Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 3, p. 2153-2173, 2021Tradução . . Disponível em: https://doi.org/10.1109/tvcg.2019.2944182. Acesso em: 19 nov. 2025.
    • APA

      Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2021). Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27( 3), 2153-2173. doi:10.1109/tvcg.2019.2944182
    • NLM

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182
    • Vancouver

      Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2025 nov. 19 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182

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