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  • Source: Machine learning and knowledge discovery in databases.Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science.. Unidade: IQSC

    Subjects: POLÍMEROS (MATERIAIS), APRENDIZADO COMPUTACIONAL, MATERIAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      PINHEIRO, Gabriel A. et al. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning. Machine learning and knowledge discovery in databases.Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science. Tradução . Cham: Springer, 2026. . Disponível em: https://link.springer.com/chapter/10.1007/978-3-032-06118-8_25#Sec2. Acesso em: 12 nov. 2025.
    • APA

      Pinheiro, G. A., Quiles, M. G., Silva, J. L. F. da, & Fern, X. Z. (2026). Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning. In Machine learning and knowledge discovery in databases.Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science.. Cham: Springer. doi:10.1007/978-3-032-06118-8_25
    • NLM

      Pinheiro GA, Quiles MG, Silva JLF da, Fern XZ. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning [Internet]. In: Machine learning and knowledge discovery in databases.Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science. Cham: Springer; 2026. [citado 2025 nov. 12 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-06118-8_25#Sec2
    • Vancouver

      Pinheiro GA, Quiles MG, Silva JLF da, Fern XZ. Mitigating data scarcity in polymer property prediction via multi-task auxiliary learning [Internet]. In: Machine learning and knowledge discovery in databases.Applied Data Science Track. ECML PKDD 2025. Lecture Notes in Computer Science. Cham: Springer; 2026. [citado 2025 nov. 12 ] Available from: https://link.springer.com/chapter/10.1007/978-3-032-06118-8_25#Sec2
  • Source: Sustainable Energy and Fuels. Unidade: IFSC

    Subjects: HEMATITA, OXIDAÇÃO, PROPRIEDADES DOS MATERIAIS

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    • ABNT

      PIRES, Fabio Augusto et al. Selective placement of modifiers on hematite thin films for solar water splitting. Sustainable Energy and Fuels, v. 7, n. 20, p. 5005-5017 + supplementary information, 2023Tradução . . Disponível em: https://doi.org/10.1039/d3se00998j. Acesso em: 12 nov. 2025.
    • APA

      Pires, F. A., Santos, G. T. dos, Bettini, J., Costa, C. A. R., Gonçalves, R. V., Castro, R. H. R. de, & Souza, F. L. de. (2023). Selective placement of modifiers on hematite thin films for solar water splitting. Sustainable Energy and Fuels, 7( 20), 5005-5017 + supplementary information. doi:10.1039/d3se00998j
    • NLM

      Pires FA, Santos GT dos, Bettini J, Costa CAR, Gonçalves RV, Castro RHR de, Souza FL de. Selective placement of modifiers on hematite thin films for solar water splitting [Internet]. Sustainable Energy and Fuels. 2023 ; 7( 20): 5005-5017 + supplementary information.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1039/d3se00998j
    • Vancouver

      Pires FA, Santos GT dos, Bettini J, Costa CAR, Gonçalves RV, Castro RHR de, Souza FL de. Selective placement of modifiers on hematite thin films for solar water splitting [Internet]. Sustainable Energy and Fuels. 2023 ; 7( 20): 5005-5017 + supplementary information.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1039/d3se00998j

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