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Artigo de periodico
Visagreement: visualizing and exploring explanations (dis)agreement (2025)
Silva, Priscylla ; Guardieiro, Vitoria ; Barr, Brian ; Silva, Claudio; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MODELAGEM DE DADOS, SIMULAÇÃO, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 11 nov. 2025.
APA
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. 11 ] 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. 11 ] Available from: https://doi.org/10.1109/TVCG.2025.3558074
Artigo de periodico
TopoMap++: a faster and more space efficient technique to compute projections with topological guarantees (2025)
Guardieiro, Vitoria ; Oliveira, Felipe Inagaki de ; Doraiswamy, Harish ; Nonato, Luis Gustavo ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: ANÁLISE DE DADOS, TOPOLOGIA, PROJEÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUARDIEIRO, Vitoria et al. TopoMap++: a faster and more space efficient technique to compute projections with topological guarantees. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 1, p. 229-239, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2024.3456365. Acesso em: 11 nov. 2025.
APA
Guardieiro, V., Oliveira, F. I. de, Doraiswamy, H., Nonato, L. G., & Silva, C. (2025). TopoMap++: a faster and more space efficient technique to compute projections with topological guarantees. IEEE Transactions on Visualization and Computer Graphics, 31( 1), 229-239. doi:10.1109/TVCG.2024.3456365
NLM
Guardieiro V, Oliveira FI de, Doraiswamy H, Nonato LG, Silva C. TopoMap++: a faster and more space efficient technique to compute projections with topological guarantees [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 1): 229-239.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2024.3456365
Vancouver
Guardieiro V, Oliveira FI de, Doraiswamy H, Nonato LG, Silva C. TopoMap++: a faster and more space efficient technique to compute projections with topological guarantees [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 1): 229-239.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2024.3456365
Artigo de periodico
MOUNTAINEER: topology-driven visual analytics for comparing local explanations (2024)
Solunke, Parikshit ; Guardieiro, Vitoria ; Rulff, João ; Chan, Gromit Yeuk-Yin ; Barr, Brian ; Nonato, Luis Gustavo ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: MODELAGEM DE DADOS, APRENDIZADO COMPUTACIONAL, ESTATÍSTICA, SIMULAÇÃO, TOPOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOLUNKE, Parikshit et al. MOUNTAINEER: topology-driven visual analytics for comparing local explanations. IEEE Transactions on Visualization and Computer Graphics, v. 30, n. 12, p. 7763-7775, 2024Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2024.3418653. Acesso em: 11 nov. 2025.
APA
Solunke, P., Guardieiro, V., Rulff, J., Chan, G. Y. -Y., Barr, B., Nonato, L. G., & Silva, C. (2024). MOUNTAINEER: topology-driven visual analytics for comparing local explanations. IEEE Transactions on Visualization and Computer Graphics, 30( 12), 7763-7775. doi:10.1109/TVCG.2024.3418653
NLM
Solunke P, Guardieiro V, Rulff J, Chan GY-Y, Barr B, Nonato LG, Silva C. MOUNTAINEER: topology-driven visual analytics for comparing local explanations [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2024 ; 30( 12): 7763-7775.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653
Vancouver
Solunke P, Guardieiro V, Rulff J, Chan GY-Y, Barr B, Nonato LG, Silva C. MOUNTAINEER: topology-driven visual analytics for comparing local explanations [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2024 ; 30( 12): 7763-7775.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653
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: 11 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. 11 ] 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. 11 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Artigo de periodico
GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data (2021)
Nonato, Luis Gustavo ; Carmo, Fabiano Petronetto do ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NONATO, Luis Gustavo e CARMO, Fabiano Petronetto do e SILVA, Claudio. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 8, p. 3481-3492, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2020.2978847. Acesso em: 11 nov. 2025.
APA
Nonato, L. G., Carmo, F. P. do, & Silva, C. (2021). GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data. IEEE Transactions on Visualization and Computer Graphics, 27( 8), 3481-3492. doi:10.1109/TVCG.2020.2978847
NLM
Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
Vancouver
Nonato LG, Carmo FP do, Silva C. GLoG: Laplacian of Gaussian for spatial pattern detection in spatio-temporal data [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 8): 3481-3492.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
Artigo de periodico
TopoMap: a 0-dimensional homology preserving projection of high-dimensional data (2021)
Doraiswamy, Harish ; Tierny, Julien ; Silva, Paulo J. S. ; Nonato, Luis Gustavo ; Silva, Claudio
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: TOPOLOGIA, ANÁLISE DE DADOS, PROJEÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 11 nov. 2025.
APA
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. 11 ] 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. 11 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441

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