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Artigo de periodico
Calibrate: interactive analysis of probabilistic model output (2023)
Xenopoulos, Peter ; Rulff, João; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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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: 04 ago. 2024.
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 2024 ago. 04 ] 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 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
Artigo de periodico
SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level (2022)
Yuan, Jun ; Chan, Gromit Yeuk-Yin ; Barr, Brian; Overton, Kyle; Rees, Kim; Nonato, Luis Gustavo ; Bertini, Enrico ; Silva, Claudio Teixeira
Fonte: IEEE Computer Graphics and Applications. Unidade: ICMC
Assuntos: CLUSTERS, VISUALIZAÇÃO, APRENDIZADO COMPUTACIONAL
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ABNT
YUAN, Jun et al. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, v. 42, n. 6, p. 24-36, 2022Tradução . . Disponível em: https://doi.org/10.1109/MCG.2022.3199727. Acesso em: 04 ago. 2024.
APA
Yuan, J., Chan, G. Y. -Y., Barr, B., Overton, K., Rees, K., Nonato, L. G., et al. (2022). SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level. IEEE Computer Graphics and Applications, 42( 6), 24-36. doi:10.1109/MCG.2022.3199727
NLM
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/MCG.2022.3199727
Vancouver
Yuan J, Chan GY-Y, Barr B, Overton K, Rees K, Nonato LG, Bertini E, Silva CT. SUBPLEX: a Visual analytics approach to understand local model explanations at the subpopulation level [Internet]. IEEE Computer Graphics and Applications. 2022 ; 42( 6): 24-36.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/MCG.2022.3199727
Artigo de periodico
CriPAV: street-level crime patterns analysis and visualization (2022)
Garcia-Zanabria, Germain ; Raimundo, Marcos M. M; Poco, Jorge ; Nery, Marcelo Batista ; Silva, Claudio T ; Adorno, Sérgio ; Nonato, Luis Gustavo
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidades: IEA, FFLCH, ICMC
Assuntos: CRIMINALIDADE, ANÁLISE DE SÉRIES TEMPORAIS, ESPAÇO URBANO
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ABNT
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: 04 ago. 2024.
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 2024 ago. 04 ] 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 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2021.3111146
Trabalho de evento-anais periodico
GALE: globally assessing local explanations (2022)
Xenopoulos, Peter ; Silva, Claudio; Chan, Gromit Yeuk-Yin ; Doraiswamy, Harish ; Nonato, Luis Gustavo ; Barr, Brian; Silva, Claudio
Fonte: Proceedings of Machine Learning Research - PMLR. Nome do evento: Workshop on Topology, Algebra, and Geometry in Machine Learning. Unidade: ICMC
Assuntos: TOPOLOGIA, PREDIÇÃO, FRAMEWORKS
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ABNT
XENOPOULOS, Peter et al. GALE: globally assessing local explanations. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v196/xenopoulos22a.html. Acesso em: 04 ago. 2024. , 2022
APA
Xenopoulos, P., Silva, C., Chan, G. Y. -Y., Doraiswamy, H., Nonato, L. G., Barr, B., & Silva, C. (2022). GALE: globally assessing local explanations. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v196/xenopoulos22a.html
NLM
Xenopoulos P, Silva C, Chan GY-Y, Doraiswamy H, Nonato LG, Barr B, Silva C. GALE: globally assessing local explanations [Internet]. Proceedings of Machine Learning Research - PMLR. 2022 ; 196 322-331.[citado 2024 ago. 04 ] Available from: https://proceedings.mlr.press/v196/xenopoulos22a.html
Vancouver
Xenopoulos P, Silva C, Chan GY-Y, Doraiswamy H, Nonato LG, Barr B, Silva C. GALE: globally assessing local explanations [Internet]. Proceedings of Machine Learning Research - PMLR. 2022 ; 196 322-331.[citado 2024 ago. 04 ] Available from: https://proceedings.mlr.press/v196/xenopoulos22a.html
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
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, ANÁLISE DE DADOS
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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: 04 ago. 2024.
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 2024 ago. 04 ] 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 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
Artigo de periodico
NE-Motion: visual analysis of stroke patients using motion sensor networks (2021)
Contreras, Rodrigo Colnago ; Parnandi, Avinash ; Coelho, Bruno Gomes ; Silva, Claudio ; Schambra, Heidi ; Nonato, Luis Gustavo
Fonte: Sensors. Unidade: ICMC
Assuntos: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL
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ABNT
CONTRERAS, Rodrigo Colnago et al. NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, v. 21, p. 1-22, 2021Tradução . . Disponível em: https://doi.org/10.3390/s21134482. Acesso em: 04 ago. 2024.
APA
Contreras, R. C., Parnandi, A., Coelho, B. G., Silva, C., Schambra, H., & Nonato, L. G. (2021). NE-Motion: visual analysis of stroke patients using motion sensor networks. Sensors, 21, 1-22. doi:10.3390/s21134482
NLM
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 ago. 04 ] Available from: https://doi.org/10.3390/s21134482
Vancouver
Contreras RC, Parnandi A, Coelho BG, Silva C, Schambra H, Nonato LG. NE-Motion: visual analysis of stroke patients using motion sensor networks [Internet]. Sensors. 2021 ; 21 1-22.[citado 2024 ago. 04 ] Available from: https://doi.org/10.3390/s21134482
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assuntos: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
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ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 04 ago. 2024. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
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
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: CRIMINALIDADE, ESPAÇO URBANO, APLICAÇÃO DA LEI
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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: 04 ago. 2024.
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 2024 ago. 04 ] 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 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2019.2947515
Artigo de periodico
Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy (2021)
Lin, Jasmine J; Chan, Gromit Yeuk-Yin ; Silva, Claudio Teixeira ; Nonato, Luis Gustavo ; Raghavan, Preeti ; McGrath, Aleksandra ; Chu, Alice
Fonte: Journal of Brachial Plexus and Peripheral Nerve Injury. Unidade: ICMC
Assuntos: PLEXO BRAQUIAL, VISUALIZAÇÃO, ANÁLISE DE DADOS
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ABNT
LIN, Jasmine J et al. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy. Journal of Brachial Plexus and Peripheral Nerve Injury, v. 16, n. 1, p. e51-e55, 2021Tradução . . Disponível em: https://doi.org/10.1055/s-0041-1731748. Acesso em: 04 ago. 2024.
APA
Lin, J. J., Chan, G. Y. -Y., Silva, C. T., Nonato, L. G., Raghavan, P., McGrath, A., & Chu, A. (2021). Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy. Journal of Brachial Plexus and Peripheral Nerve Injury, 16( 1), e51-e55. doi:10.1055/s-0041-1731748
NLM
Lin JJ, Chan GY-Y, Silva CT, Nonato LG, Raghavan P, McGrath A, Chu A. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy [Internet]. Journal of Brachial Plexus and Peripheral Nerve Injury. 2021 ; 16( 1): e51-e55.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1055/s-0041-1731748
Vancouver
Lin JJ, Chan GY-Y, Silva CT, Nonato LG, Raghavan P, McGrath A, Chu A. Motion analytics of trapezius muscle activity in an 18-year-old female with extended upper brachial plexus birth palsy [Internet]. Journal of Brachial Plexus and Peripheral Nerve Injury. 2021 ; 16( 1): e51-e55.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1055/s-0041-1731748
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
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: TOPOLOGIA, ANÁLISE DE DADOS, PROJEÇÃO
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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: 04 ago. 2024.
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 2024 ago. 04 ] 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 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
Artigo de periodico
Wavelet-based visual analysis of dynamic networks (2018)
Dal Col, Alcebíades; Valdivia, Paola; Petronetto, Fabiano; Dias, Fábio; Silva, Cláudio T; Nonato, Luis Gustavo
Fonte: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
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ABNT
DAL COL, Alcebíades et al. Wavelet-based visual analysis of dynamic networks. IEEE Transactions on Visualization and Computer Graphics, v. 24, n. 8, p. 2456-2469, 2018Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2017.2746080. Acesso em: 04 ago. 2024.
APA
Dal Col, A., Valdivia, P., Petronetto, F., Dias, F., Silva, C. T., & Nonato, L. G. (2018). Wavelet-based visual analysis of dynamic networks. IEEE Transactions on Visualization and Computer Graphics, 24( 8), 2456-2469. doi:10.1109/TVCG.2017.2746080
NLM
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis of dynamic networks [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2018 ; 24( 8): 2456-2469.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2017.2746080
Vancouver
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis of dynamic networks [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2018 ; 24( 8): 2456-2469.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/TVCG.2017.2746080
Artigo de periodico
Wavelet-based visual analysis for data exploration (2017)
Dal Col, Alcebíades; Valdivia, Paola; Petronetto, Fabiano; Dias, Fábio; Silva, Cláudio T; Nonato, Luis Gustavo
Fonte: Computing in Science and Engineering. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DAL COL, Alcebíades et al. Wavelet-based visual analysis for data exploration. Computing in Science and Engineering, v. 19, n. 5, p. 85-91, 2017Tradução . . Disponível em: https://doi.org/10.1109/MCSE.2017.3421553. Acesso em: 04 ago. 2024.
APA
Dal Col, A., Valdivia, P., Petronetto, F., Dias, F., Silva, C. T., & Nonato, L. G. (2017). Wavelet-based visual analysis for data exploration. Computing in Science and Engineering, 19( 5), 85-91. doi:10.1109/MCSE.2017.3421553
NLM
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis for data exploration [Internet]. Computing in Science and Engineering. 2017 ; 19( 5): 85-91.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/MCSE.2017.3421553
Vancouver
Dal Col A, Valdivia P, Petronetto F, Dias F, Silva CT, Nonato LG. Wavelet-based visual analysis for data exploration [Internet]. Computing in Science and Engineering. 2017 ; 19( 5): 85-91.[citado 2024 ago. 04 ] Available from: https://doi.org/10.1109/MCSE.2017.3421553

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