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Artigo de periodico
ZigzagNetVis: suggesting temporal resolutions for graph visualization using zigzag persistence (2025)
Tinarrage, Raphaël ; Ponciano, Jean Roberto ; Linhares, Claudio Douglas Gouveia ; Traina, Agma Juci Machado ; Poco, Jorge
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, MATEMÁTICA DA COMPUTAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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
Artigo de periodico
LargeNetVis: visual exploration of large temporal networks based on community taxonomies (2023)
Linhares, Claudio Douglas Gouveia ; Ponciano, Jean Roberto ; Pedro, Diogenes Silva; Rocha, Luis Enrique Correa da ; Traina, Agma Juci Machado ; Poco, Jorge
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 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
Artigo de periodico
Calibrate: interactive analysis of probabilistic model output (2023)
Xenopoulos, Peter ; Rulff, João; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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
Artigo de periodico
Explainable matrix: visualization for global and local interpretability of random forest classification ensembles (2021)
Popolin Neto, Mário ; Paulovich, Fernando Vieira
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 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
Artigo de periodico
CrimAnalyzer: understanding crime patterns in São Paulo (2021)
Zanabria, Germain Garcia ; Silveira, Jaqueline Alvarenga ; Poco, Jorge ; Paiva, Afonso ; Nery, Marcelo Batista ; Silva, Claudio T; Adorno, Sérgio ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: CRIMINALIDADE, ESPAÇO URBANO, APLICAÇÃO DA LEI
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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.
APA
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

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