Filtros : "Silva, Claudio" Limpar

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  • 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: 28 abr. 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 abr. 28 ] 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 abr. 28 ] Available from: https://doi.org/10.1109/TVCG.2022.3209489
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, ANÁLISE DE DADOS

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      XENOPOULOS, Peter e NONATO, Luis Gustavo e SILVA, Claudio. Visualization for machine learning. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759. Acesso em: 28 abr. 2024.
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      Xenopoulos, P., Nonato, L. G., & Silva, C. (2022). Visualization for machine learning. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991759
    • NLM

      Xenopoulos P, Nonato LG, Silva C. Visualization for machine learning [Internet]. Proceedings. 2022 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759
    • Vancouver

      Xenopoulos P, Nonato LG, Silva C. Visualization for machine learning [Internet]. Proceedings. 2022 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759
  • Source: Proceedings of Machine Learning Research - PMLR. Conference titles: Workshop on Topology, Algebra, and Geometry in Machine Learning. Unidade: ICMC

    Subjects: TOPOLOGIA, PREDIÇÃO, FRAMEWORKS

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      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: 28 abr. 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 abr. 28 ] 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 abr. 28 ] Available from: https://proceedings.mlr.press/v196/xenopoulos22a.html
  • Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC

    Subjects: PROCESSAMENTO DE IMAGENS, VISÃO COMPUTACIONAL, ANÁLISE DE DADOS

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      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: 28 abr. 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 abr. 28 ] 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 abr. 28 ] Available from: https://doi.org/10.1109/TVCG.2020.2978847
  • Source: Sensors. Unidade: ICMC

    Subjects: TEORIA DOS CONJUNTOS, VISUALIZAÇÃO, ACIDENTE VASCULAR CEREBRAL

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      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: 28 abr. 2024.
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      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 abr. 28 ] 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 abr. 28 ] Available from: https://doi.org/10.3390/s21134482
  • 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: 28 abr. 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 abr. 28 ] 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 abr. 28 ] Available from: https://doi.org/10.1109/TVCG.2020.3030441
  • Source: SIBGRAPI Digital Library Archive. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO APLICADA

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      TOKUDA, Eric K e CÉSAR JÚNIOR, Roberto Marcondes e SILVA, Claudio. Identificação automática de pichação a partir de imagens urbanas. 2018, Anais.. Porto Alegre: SBC, 2018. Disponível em: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en. Acesso em: 28 abr. 2024.
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      Tokuda, E. K., César Júnior, R. M., & Silva, C. (2018). Identificação automática de pichação a partir de imagens urbanas. In SIBGRAPI Digital Library Archive. Porto Alegre: SBC. Recuperado de http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
    • NLM

      Tokuda EK, César Júnior RM, Silva C. Identificação automática de pichação a partir de imagens urbanas [Internet]. SIBGRAPI Digital Library Archive. 2018 ;[citado 2024 abr. 28 ] Available from: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
    • Vancouver

      Tokuda EK, César Júnior RM, Silva C. Identificação automática de pichação a partir de imagens urbanas [Internet]. SIBGRAPI Digital Library Archive. 2018 ;[citado 2024 abr. 28 ] Available from: http://urlib.net/rep/8JMKD3MGPAW/3RPADUS?ibiurl.backgroundlanguage=en
  • Source: Proceedings. Conference titles: Southwest Symposium on Image Analysis and Interpretation - SSIAI. Unidade: IME

    Assunto: VISÃO COMPUTACIONAL

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      TOKUDA, Eric K et al. A novel semi-supervised detection approach with weak annotation. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/SSIAI.2018.8470307. Acesso em: 28 abr. 2024.
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      Tokuda, E. K., Ferreira, G. B. A., Silva, C., & César Júnior, R. M. (2018). A novel semi-supervised detection approach with weak annotation. In Proceedings. Piscataway: IEEE. doi:10.1109/SSIAI.2018.8470307
    • NLM

      Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307
    • Vancouver

      Tokuda EK, Ferreira GBA, Silva C, César Júnior RM. A novel semi-supervised detection approach with weak annotation [Internet]. Proceedings. 2018 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/SSIAI.2018.8470307
  • Source: Computing in Science & Engineering. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL

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      GYULASSY, Attila et al. Robust topology-based multiscale analysis of scientific data: 213 p. Computing in Science & Engineering, v. 11, n. 5, p. 88-94, 2009Tradução . . Disponível em: http://ieeexplore.ieee.org/xpl/tocresult.do?isYear=2009&isnumber=5228702&Submit32=View+Contents. Acesso em: 28 abr. 2024.
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      Gyulassy, A., Nonato, L. G., Bremer, P. -T., Silva, C., & Pascucci, V. (2009). Robust topology-based multiscale analysis of scientific data: 213 p. Computing in Science & Engineering, 11( 5), 88-94. Recuperado de http://ieeexplore.ieee.org/xpl/tocresult.do?isYear=2009&isnumber=5228702&Submit32=View+Contents
    • NLM

      Gyulassy A, Nonato LG, Bremer P-T, Silva C, Pascucci V. Robust topology-based multiscale analysis of scientific data: 213 p. [Internet]. Computing in Science & Engineering. 2009 ; 11( 5): 88-94.[citado 2024 abr. 28 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isYear=2009&isnumber=5228702&Submit32=View+Contents
    • Vancouver

      Gyulassy A, Nonato LG, Bremer P-T, Silva C, Pascucci V. Robust topology-based multiscale analysis of scientific data: 213 p. [Internet]. Computing in Science & Engineering. 2009 ; 11( 5): 88-94.[citado 2024 abr. 28 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isYear=2009&isnumber=5228702&Submit32=View+Contents

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