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

    Assuntos: VISUALIZAÇÃO, REDES COMPLEXAS

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    • ABNT

      LINHARES, Claudio Douglas Gouveia et al. LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 203-213, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209477. Acesso em: 02 nov. 2024.
    • APA

      Linhares, C. D. G., Ponciano, J. R., Pedro, D. S., Rocha, L. E. C. da, Traina, A. J. M., & Poco, J. (2023). LargeNetVis: visual exploration of large temporal networks based on community taxonomies. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 203-213. doi:10.1109/TVCG.2022.3209477
    • NLM

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
    • Vancouver

      Linhares CDG, Ponciano JR, Pedro DS, Rocha LEC da, Traina AJM, Poco J. LargeNetVis: visual exploration of large temporal networks based on community taxonomies [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 203-213.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: VISUALIZAÇÃO, INTERAÇÃO USUÁRIO-COMPUTADOR, TECNOLOGIAS DA SAÚDE

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    • ABNT

      LINHARES, Claudio Douglas Gouveia et al. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. 10, p. 4031-4046, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3175626. Acesso em: 02 nov. 2024.
    • APA

      Linhares, C. D. G., Lima, D. M. de, Ponciano, J. R., Olivatto, M. M., Gutierrez, M. A., Poco, J., et al. (2023). ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making. IEEE Transactions on Visualization and Computer Graphics, 29( 10), 4031-4046. doi:10.1109/TVCG.2022.3175626
    • NLM

      Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
    • Vancouver

      Linhares CDG, Lima DM de, Ponciano JR, Olivatto MM, Gutierrez MA, Poco J, Traina Junior C, Traina AJM. ClinicalPath: a visualization tool to improve the evaluation of electronic health records in clinical decision-making [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( 10): 4031-4046.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
  • 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: 02 nov. 2024.
    • 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 2024 nov. 02 ] 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 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL

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    • ABNT

      BARBOSA, A et al. Visualizing and interacting with kernelized data. IEEE Transactions on Visualization and Computer Graphics, v. 22, n. 3, p. 1314-1325, 2016Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2015.2464797. Acesso em: 02 nov. 2024.
    • APA

      Barbosa, A., Paulovich, F. V., Paiva, A., Goldenstein, S., Petronetto, F., & Nonato, L. G. (2016). Visualizing and interacting with kernelized data. IEEE Transactions on Visualization and Computer Graphics, 22( 3), 1314-1325. doi:10.1109/TVCG.2015.2464797
    • NLM

      Barbosa A, Paulovich FV, Paiva A, Goldenstein S, Petronetto F, Nonato LG. Visualizing and interacting with kernelized data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2016 ; 22( 3): 1314-1325.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2015.2464797
    • Vancouver

      Barbosa A, Paulovich FV, Paiva A, Goldenstein S, Petronetto F, Nonato LG. Visualizing and interacting with kernelized data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2016 ; 22( 3): 1314-1325.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2015.2464797
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      PAIVA, José Gustavo S et al. An approach to supporting incremental visual data classification. IEEE Transactions on Visualization and Computer Graphics, v. 21, n. ja 2015, p. 4-17, 2015Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2014.2331979. Acesso em: 02 nov. 2024.
    • APA

      Paiva, J. G. S., Schwartz, W. R., Pedrini, H., & Minghim, R. (2015). An approach to supporting incremental visual data classification. IEEE Transactions on Visualization and Computer Graphics, 21( ja 2015), 4-17. doi:10.1109/TVCG.2014.2331979
    • NLM

      Paiva JGS, Schwartz WR, Pedrini H, Minghim R. An approach to supporting incremental visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 4-17.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2331979
    • Vancouver

      Paiva JGS, Schwartz WR, Pedrini H, Minghim R. An approach to supporting incremental visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 4-17.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2331979
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      ETEMADPOUR, Ronak et al. Perception-based evaluation of projection methods for multidimensional data visualization. IEEE Transactions on Visualization and Computer Graphics, v. 21, n. ja 2015, p. 81-94, 2015Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2014.2330617. Acesso em: 02 nov. 2024.
    • APA

      Etemadpour, R., Motta, R., Paiva, J. G. de S., Minghim, R., Oliveira, M. C. F. de, & Linsen, L. (2015). Perception-based evaluation of projection methods for multidimensional data visualization. IEEE Transactions on Visualization and Computer Graphics, 21( ja 2015), 81-94. doi:10.1109/TVCG.2014.2330617
    • NLM

      Etemadpour R, Motta R, Paiva JG de S, Minghim R, Oliveira MCF de, Linsen L. Perception-based evaluation of projection methods for multidimensional data visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 81-94.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2330617
    • Vancouver

      Etemadpour R, Motta R, Paiva JG de S, Minghim R, Oliveira MCF de, Linsen L. Perception-based evaluation of projection methods for multidimensional data visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2015 ; 21( ja 2015): 81-94.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2330617
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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    • ABNT

      DUARTE, Felipe S. L. G et al. Nmap: a novel neighborhood preservation space-filling algorithm. IEEE Transactions on Visualization and Computer Graphics, v. 20, n. 12, p. 2063-2071, 2014Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2014.2346276. Acesso em: 02 nov. 2024.
    • APA

      Duarte, F. S. L. G., Sikansi, F., Fatore, F. M., Fadel, S. G., & Paulovich, F. V. (2014). Nmap: a novel neighborhood preservation space-filling algorithm. IEEE Transactions on Visualization and Computer Graphics, 20( 12), 2063-2071. doi:10.1109/TVCG.2014.2346276
    • NLM

      Duarte FSLG, Sikansi F, Fatore FM, Fadel SG, Paulovich FV. Nmap: a novel neighborhood preservation space-filling algorithm [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 12): 2063-2071.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2346276
    • Vancouver

      Duarte FSLG, Sikansi F, Fatore FM, Fadel SG, Paulovich FV. Nmap: a novel neighborhood preservation space-filling algorithm [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 12): 2063-2071.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2014.2346276
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL, OTIMIZAÇÃO COMBINATÓRIA

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    • ABNT

      GOMEZ-NIETO, Erick et al. Similarity preserving snippet-based visualization of web search results. IEEE Transactions on Visualization and Computer Graphics, v. 20, n. 3, p. 457-470, 2014Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2013.242. Acesso em: 02 nov. 2024.
    • APA

      Gomez-Nieto, E., Roman, F. S., Pagliosa, P., Casaca, W., Helou, E. S., Oliveira, M. C. F. de, & Nonato, L. G. (2014). Similarity preserving snippet-based visualization of web search results. IEEE Transactions on Visualization and Computer Graphics, 20( 3), 457-470. doi:10.1109/TVCG.2013.242
    • NLM

      Gomez-Nieto E, Roman FS, Pagliosa P, Casaca W, Helou ES, Oliveira MCF de, Nonato LG. Similarity preserving snippet-based visualization of web search results [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 3): 457-470.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2013.242
    • Vancouver

      Gomez-Nieto E, Roman FS, Pagliosa P, Casaca W, Helou ES, Oliveira MCF de, Nonato LG. Similarity preserving snippet-based visualization of web search results [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 3): 457-470.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2013.242
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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    • ABNT

      PAIVA, José Gustavo S et al. Improved similarity trees and their application to visual data classification. IEEE Transactions on Visualization and Computer Graphics, v. 17, n. 12, p. 2459-2468, 2011Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2011.212. Acesso em: 02 nov. 2024.
    • APA

      Paiva, J. G. S., Florian-Cruz, L., Pedrini, H., Telles, G. P., & Minghim, R. (2011). Improved similarity trees and their application to visual data classification. IEEE Transactions on Visualization and Computer Graphics, 17( 12), 2459-2468. doi:10.1109/TVCG.2011.212
    • NLM

      Paiva JGS, Florian-Cruz L, Pedrini H, Telles GP, Minghim R. Improved similarity trees and their application to visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2011 ; 17( 12): 2459-2468.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2011.212
    • Vancouver

      Paiva JGS, Florian-Cruz L, Pedrini H, Telles GP, Minghim R. Improved similarity trees and their application to visual data classification [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2011 ; 17( 12): 2459-2468.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2011.212
  • Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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    • ABNT

      ERSOY, Ozan et al. Skeleton-based edge bundling for graph visualization. IEEE Transactions on Visualization and Computer Graphics, v. 17, n. 12, p. 2364-2373, 2011Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2011.233. Acesso em: 02 nov. 2024.
    • APA

      Ersoy, O., Hurter, C., Paulovich, F. V., Cantareira, G., & Telea, A. (2011). Skeleton-based edge bundling for graph visualization. IEEE Transactions on Visualization and Computer Graphics, 17( 12), 2364-2373. doi:10.1109/TVCG.2011.233
    • NLM

      Ersoy O, Hurter C, Paulovich FV, Cantareira G, Telea A. Skeleton-based edge bundling for graph visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2011 ; 17( 12): 2364-2373.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2011.233
    • Vancouver

      Ersoy O, Hurter C, Paulovich FV, Cantareira G, Telea A. Skeleton-based edge bundling for graph visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2011 ; 17( 12): 2364-2373.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/TVCG.2011.233

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