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Filtros : "MODELAGEM DE DADOS" "Financiamento NASA" 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

    Acesso à fonteDOIHow to cite
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    • ABNT

      SOLUNKE, Parikshit et al. MOUNTAINEER: topology-driven visual analytics for comparing local explanations. IEEE Transactions on Visualization and Computer Graphics, 2024Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2024.3418653. Acesso em: 10 out. 2024.

    • 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. 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 ;[citado 2024 out. 10 ] 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 ;[citado 2024 out. 10 ] Available from: https://doi.org/10.1109/TVCG.2024.3418653

  • Parte de monografia/livro

    Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production (2020)

    Dias, Henrique Boriolo ; Inman-Bamber, Geoff

    Source: Systems modeling. Unidade: ESALQ

    Subjects: AGRICULTURA SUSTENTÁVEL, CANA-DE-AÇÚCAR, INTERAÇÃO GENÓTIPO-AMBIENTE, MODELAGEM DE DADOS, MUDANÇA CLIMÁTICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      DIAS, Henrique Boriolo e INMAN-BAMBER, Geoff. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production. Systems modeling. Tradução . Gateway East, Singapura: Springer Nature Singapore Pte Ltd., 2020. . Disponível em: https://doi.org/10.1007/978-981-15-4728-7. Acesso em: 10 out. 2024.

    • APA

      Dias, H. B., & Inman-Bamber, G. (2020). Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production. In Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd. doi:10.1007/978-981-15-4728-7

    • NLM

      Dias HB, Inman-Bamber G. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production [Internet]. In: Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd.; 2020. [citado 2024 out. 10 ] Available from: https://doi.org/10.1007/978-981-15-4728-7

    • Vancouver

      Dias HB, Inman-Bamber G. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production [Internet]. In: Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd.; 2020. [citado 2024 out. 10 ] Available from: https://doi.org/10.1007/978-981-15-4728-7
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