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Filtros : "ESTATÍSTICA" "Financiamento NSF" Limpar

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  • 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

    PrivadoAcesso à fonteDOIHow to cite
    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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653

  • Artigo de periodico

    Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook (2020)

    Brandt, Daniele ; Constable, Catherine ; Ernesto, Márcia

    Source: Geophysical Journal International. Unidade: IAG

    Subjects: PALEOMAGNETISMO, GEOMAGNETISMO, ESTATÍSTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BRANDT, Daniele e CONSTABLE, Catherine e ERNESTO, Márcia. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook. Geophysical Journal International, v. 222, n. 3, p. 1526-1541, 2020Tradução . . Disponível em: https://doi.org/10.1093/gji/ggaa258. Acesso em: 09 nov. 2025.

    • APA

      Brandt, D., Constable, C., & Ernesto, M. (2020). Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook. Geophysical Journal International, 222( 3), 1526-1541. doi:10.1093/gji/ggaa258

    • NLM

      Brandt D, Constable C, Ernesto M. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook [Internet]. Geophysical Journal International. 2020 ; 222( 3): 1526-1541.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1093/gji/ggaa258

    • Vancouver

      Brandt D, Constable C, Ernesto M. Giant Gaussian process models of geomagnetic palaeosecular variation: a directional outlook [Internet]. Geophysical Journal International. 2020 ; 222( 3): 1526-1541.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1093/gji/ggaa258
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