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  • Source: Data Intelligence. Unidades: EP, EACH

    Assunto: GRÁFICOS

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      LIGABUE, Pedro de Moraes et al. Applying a context-based method to build a knowledge graph for the blue amazon. Data Intelligence, v. 6, n. 1, p. 64-103, 2024Tradução . . Disponível em: http://dx.doi.org/10.1162/dint_a_00223. Acesso em: 13 nov. 2025.
    • APA

      Ligabue, P. de M., Brandão, A. A. F., Peres, S. M., Cozman, F. G., & Pirozelli, P. (2024). Applying a context-based method to build a knowledge graph for the blue amazon. Data Intelligence, 6( 1), 64-103. doi:10.1162/dint_a_00223
    • NLM

      Ligabue P de M, Brandão AAF, Peres SM, Cozman FG, Pirozelli P. Applying a context-based method to build a knowledge graph for the blue amazon [Internet]. Data Intelligence. 2024 ; 6( 1): 64-103.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1162/dint_a_00223
    • Vancouver

      Ligabue P de M, Brandão AAF, Peres SM, Cozman FG, Pirozelli P. Applying a context-based method to build a knowledge graph for the blue amazon [Internet]. Data Intelligence. 2024 ; 6( 1): 64-103.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1162/dint_a_00223
  • Source: Data Intelligence. Unidades: EACH, EP, IME

    Assunto: REFERÊNCIA E CONSULTA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      PIROZELLI, Paulo et al. Benchmarks for Pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change. Data Intelligence, v. 6, n. 1, p. 29–63, 2024Tradução . . Disponível em: http://dx.doi.org/10.1162/dint_a_00245. Acesso em: 13 nov. 2025.
    • APA

      Pirozelli, P., José, M. M., Silveira, I. C., Cação, F. N., Peres, S. M., Brandão, A. A. F., et al. (2024). Benchmarks for Pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change. Data Intelligence, 6( 1), 29–63. doi:10.1162/dint_a_00245
    • NLM

      Pirozelli P, José MM, Silveira IC, Cação FN, Peres SM, Brandão AAF, Reali Costa AH, Cozman FG. Benchmarks for Pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change [Internet]. Data Intelligence. 2024 ; 6( 1): 29–63.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1162/dint_a_00245
    • Vancouver

      Pirozelli P, José MM, Silveira IC, Cação FN, Peres SM, Brandão AAF, Reali Costa AH, Cozman FG. Benchmarks for Pirá 2.0, a reading comprehension dataset about the ocean, the Brazilian Coast, and climate change [Internet]. Data Intelligence. 2024 ; 6( 1): 29–63.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1162/dint_a_00245
  • Source: Expert Systems with Applications: an international journal. Unidades: EP, EACH

    Assunto: AVALIAçãO DE DESEMPENHO

    Acesso à fonteDOIHow to cite
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    • ABNT

      SALLABERRY, Lucas Henna e TORI, Romero e MARQUES, Fátima de Lourdes dos Santos Nunes. Automatic performance assessment in virtual reality medical simulators: a model based on procedure trajectories and machine learning. Expert Systems with Applications: an international journal, p. 01-16, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.eswa.2023.122201. Acesso em: 13 nov. 2025.
    • APA

      Sallaberry, L. H., Tori, R., & Marques, F. de L. dos S. N. (2024). Automatic performance assessment in virtual reality medical simulators: a model based on procedure trajectories and machine learning. Expert Systems with Applications: an international journal, 01-16. doi:10.1016/j.eswa.2023.122201
    • NLM

      Sallaberry LH, Tori R, Marques F de L dos SN. Automatic performance assessment in virtual reality medical simulators: a model based on procedure trajectories and machine learning [Internet]. Expert Systems with Applications: an international journal. 2024 ; 01-16.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.eswa.2023.122201
    • Vancouver

      Sallaberry LH, Tori R, Marques F de L dos SN. Automatic performance assessment in virtual reality medical simulators: a model based on procedure trajectories and machine learning [Internet]. Expert Systems with Applications: an international journal. 2024 ; 01-16.[citado 2025 nov. 13 ] Available from: http://dx.doi.org/10.1016/j.eswa.2023.122201
  • Source: Diversity and Distributions: a journal of conservation. Unidades: EACH, EP

    Assunto: ABELHAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      BOYD, Robin J. et al. Inferring trends in pollinator distributions across the neotropics from publicly available data remains challenging despite mobilization efforts. Diversity and Distributions: a journal of conservation, v. 28, p. 1404 -1415, 2022Tradução . . Disponível em: https://doi.org/10.1111/ddi.13551. Acesso em: 13 nov. 2025.
    • APA

      Boyd, R. J., Aizen, M. A., Segovia, R. M. B., Prado, L. F., Fontúrbel, F. E., Francoy, T. M., et al. (2022). Inferring trends in pollinator distributions across the neotropics from publicly available data remains challenging despite mobilization efforts. Diversity and Distributions: a journal of conservation, 28, 1404 -1415. doi:10.1111/ddi.13551
    • NLM

      Boyd RJ, Aizen MA, Segovia RMB, Prado LF, Fontúrbel FE, Francoy TM, Aliste ML, Martinez L, Morales CL, Ollerton J, Pescott OL, Powney GD, Saraiva AM, Schmuck R, Zattara EE, Carvell C. Inferring trends in pollinator distributions across the neotropics from publicly available data remains challenging despite mobilization efforts [Internet]. Diversity and Distributions: a journal of conservation. 2022 ; 28 1404 -1415.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1111/ddi.13551
    • Vancouver

      Boyd RJ, Aizen MA, Segovia RMB, Prado LF, Fontúrbel FE, Francoy TM, Aliste ML, Martinez L, Morales CL, Ollerton J, Pescott OL, Powney GD, Saraiva AM, Schmuck R, Zattara EE, Carvell C. Inferring trends in pollinator distributions across the neotropics from publicly available data remains challenging despite mobilization efforts [Internet]. Diversity and Distributions: a journal of conservation. 2022 ; 28 1404 -1415.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1111/ddi.13551

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