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

    Subjects: VISUALIZAÇÃO, MATEMÁTICA DA COMPUTAÇÃO

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      TINARRAGE, Raphaël et al. ZigzagNetVis: suggesting temporal resolutions for graph visualization using zigzag persistence. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 10, p. 6852-6869, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2025.3528197. Acesso em: 10 nov. 2025.
    • APA

      Tinarrage, R., Ponciano, J. R., Linhares, C. D. G., Traina, A. J. M., & Poco, J. (2025). ZigzagNetVis: suggesting temporal resolutions for graph visualization using zigzag persistence. IEEE Transactions on Visualization and Computer Graphics, 31( 10), 6852-6869. doi:10.1109/TVCG.2025.3528197
    • NLM

      Tinarrage R, Ponciano JR, Linhares CDG, Traina AJM, Poco J. ZigzagNetVis: suggesting temporal resolutions for graph visualization using zigzag persistence [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 6852-6869.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2025.3528197
    • Vancouver

      Tinarrage R, Ponciano JR, Linhares CDG, Traina AJM, Poco J. ZigzagNetVis: suggesting temporal resolutions for graph visualization using zigzag persistence [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 6852-6869.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2025.3528197
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, MODELAGEM DE DADOS, SIMULAÇÃO, VISUALIZAÇÃO

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      SILVA, Priscylla et al. Visagreement: visualizing and exploring explanations (dis)agreement. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 10 , p. 7862-7875, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2025.3558074. Acesso em: 10 nov. 2025.
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      Silva, P., Guardieiro, V., Barr, B., Silva, C., & Nonato, L. G. (2025). Visagreement: visualizing and exploring explanations (dis)agreement. IEEE Transactions on Visualization and Computer Graphics, 31( 10 ), 7862-7875. doi:10.1109/TVCG.2025.3558074
    • NLM

      Silva P, Guardieiro V, Barr B, Silva C, Nonato LG. Visagreement: visualizing and exploring explanations (dis)agreement [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10 ): 7862-7875.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2025.3558074
    • Vancouver

      Silva P, Guardieiro V, Barr B, Silva C, Nonato LG. Visagreement: visualizing and exploring explanations (dis)agreement [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10 ): 7862-7875.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2025.3558074
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

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

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      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: 10 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. 10 ] 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. 10 ] Available from: https://doi.org/10.1109/TVCG.2025.3586202
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: VISUALIZAÇÃO, REDES COMPLEXAS

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      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: 10 nov. 2025.
    • 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 2025 nov. 10 ] 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 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3209477
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      XENOPOULOS, Peter et al. Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, v. 29, n. Ja 2023, p. 853-863, 2023Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2022.3209489. Acesso em: 10 nov. 2025.
    • APA

      Xenopoulos, P., Rulff, J., Nonato, L. G., Barr, B., & Silva, C. (2023). Calibrate: interactive analysis of probabilistic model output. IEEE Transactions on Visualization and Computer Graphics, 29( Ja 2023), 853-863. doi:10.1109/TVCG.2022.3209489
    • NLM

      Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
    • Vancouver

      Xenopoulos P, Rulff J, Nonato LG, Barr B, Silva C. Calibrate: interactive analysis of probabilistic model output [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2023 ; 29( Ja 2023): 853-863.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

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

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      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: 10 nov. 2025.
    • 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 2025 nov. 10 ] 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 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2022.3175626
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidades: IEA, FFLCH, ICMC

    Subjects: CRIMINALIDADE, ANÁLISE DE SÉRIES TEMPORAIS, ESPAÇO URBANO

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      GARCIA-ZANABRIA, Germain et al. CriPAV: street-level crime patterns analysis and visualization. IEEE Transactions on Visualization and Computer Graphics, v. 28, n. 12, p. 4000-4015, 2022Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2021.3111146. Acesso em: 10 nov. 2025.
    • APA

      Garcia-Zanabria, G., Raimundo, M. M. M., Poco, J., Nery, M. B., Silva, C. T., Adorno, S., & Nonato, L. G. (2022). CriPAV: street-level crime patterns analysis and visualization. IEEE Transactions on Visualization and Computer Graphics, 28( 12), 4000-4015. doi:10.1109/TVCG.2021.3111146
    • NLM

      Garcia-Zanabria G, Raimundo MMM, Poco J, Nery MB, Silva CT, Adorno S, Nonato LG. CriPAV: street-level crime patterns analysis and visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2022 ; 28( 12): 4000-4015.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
    • Vancouver

      Garcia-Zanabria G, Raimundo MMM, Poco J, Nery MB, Silva CT, Adorno S, Nonato LG. CriPAV: street-level crime patterns analysis and visualization [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2022 ; 28( 12): 4000-4015.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL

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      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: 10 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. 10 ] 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. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.3030354
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: CRIMINALIDADE, ESPAÇO URBANO, APLICAÇÃO DA LEI

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      ZANABRIA, Germain Garcia et al. CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 4, p. 2313-2328, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2019.2947515. Acesso em: 10 nov. 2025.
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      Zanabria, G. G., Silveira, J. A., Poco, J., Paiva, A., Nery, M. B., Silva, C. T., et al. (2021). CrimAnalyzer: understanding crime patterns in São Paulo. IEEE Transactions on Visualization and Computer Graphics, 27( 4), 2313-2328. doi:10.1109/TVCG.2019.2947515
    • NLM

      Zanabria GG, Silveira JA, Poco J, Paiva A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515
    • Vancouver

      Zanabria GG, Silveira JA, Poco J, Paiva A, Nery MB, Silva CT, Adorno S, Nonato LG. CrimAnalyzer: understanding crime patterns in São Paulo [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 4): 2313-2328.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: TOPOLOGIA, ANÁLISE DE DADOS, PROJEÇÃO

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      DORAISWAMY, Harish et al. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 2, p. 561-571, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.3030441. Acesso em: 10 nov. 2025.
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      Doraiswamy, H., Tierny, J., Silva, P. J. S., Nonato, L. G., & Silva, C. (2021). TopoMap: a 0-dimensional homology preserving projection of high-dimensional data. IEEE Transactions on Visualization and Computer Graphics, 27( 2), 561-571. doi:10.1109/TVCG.2020.3030441
    • NLM

      Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
    • Vancouver

      Doraiswamy H, Tierny J, Silva PJS, Nonato LG, Silva C. TopoMap: a 0-dimensional homology preserving projection of high-dimensional data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 2): 561-571.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441

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