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SBPO 2025

ISSN: 2965-1476
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SBPO 2025
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Anais do Simpósio Brasileiro de Pesquisa Operacional
Proceedings of the LVII Brazilian Symposium on Operations Research

ISSN: 2965-1476
  • English
  • Portuguese, Brazil
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Unifesp

João Assaoka

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Papers 1
  • Supporting Quantitative Learning with AI: The Case of the NumTutor Platform for Numerical Methods

    • ASSAOKA, João 1
    • GOUVEIA, Lucas Castelani 1
    • MOLINARI, Lucas 1
    • NETO, Luiz Leduino de Salles 2
    • CORREIA, Thomas Pires 1
    • 1 UNIFESP
    • 2 Instituto de Ciência e Tecnologia
    -
    326120
    10. IA- OR and AI
    Poster

Co-authors (4)

  • Luiz Leduino de Salles Neto

    7 publications

  • Lucas Castelani Gouveia

    1 publication

  • Lucas Molinari

    1 publication

  • Thomas Pires Correia

    1 publication

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How to cite this proceedings?

This proceedings is identified by a DOI , for use in citations or bibliographic references. Attention: this is not a DOI for the paper and as such cannot be used in Lattes to identify a particular work.

DOI 10.59254/sbpo-2025

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