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SBPO 2024

ISSN: 2965-1476
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SBPO 2024
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Anais do Simpósio Brasileiro de Pesquisa Operacional
Proceedings of LVI Brazilian Symposium on Operations Research

ISSN: 2965-1476
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  • Portuguese, Brazil
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Instituto Curvelo

Filipe Alves Neto Verri

Also published on: SBPO 2022

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Papers 2
  • PREDICTING SEVERE RAINFALL IN SÃO PAULO WITH MACHINE LEARNING MODELS

    • SOUZA, Alex Fernandes de 1
    • CAMPOS, Paulo Henrique da Silva 1
    • BALESTRASSI, Pedro Paulo 1
    • VERRI, Filipe Alves Neto
    • 1 Universidade Federal de Itajubá
    Vol 56, 2024 -
    309878
    4. AG&MA – OR in Agriculture and Environment
    Complete Articles (CA)
  • MULTIVARIATE ANALYSIS OF VARIANCE IN THE TURNING PROCESS OF AISI H13 STEEL

    • SOUZA, Alex Fernandes de 1
    • CAMPOS, Paulo Henrique da Silva 1
    • VERRI, Filipe Alves Neto
    • BALESTRASSI, Pedro Paulo 1
    • 1 Universidade Federal de Itajubá
    -
    309854
    9. EST&MP – Statistics and Probabilistic Models
    Complete Articles (CA)

Co-authors (3)

  • Alex Fernandes de Souza

    2 publications

  • Paulo Henrique da Silva Campos

    2 publications

  • Pedro Paulo Balestrassi

    2 publications

Publications in other proceedings

  • SBPO 2026

    CHALLENGES OF ARTIFICIAL INTELLIGENCE IN CLINICAL SEVERITY PROGNOSIS: A DECISION SUPPORT MODEL BASED ON HEMATOLOGICAL DATA — AN APPLIED STUDY ON COVID-19

  • SBPO 2026

    THE VDP FRAMEWORK: A NEW FILE FORMAT FOR PRESERVING INFORMATION IN THE DATA WRANGLING PIPELINES

  • SBPO 2026

    ON CROSS-VALIDATION STRATEGIES FOR AUTOREGRESSIVE FORECASTING

  • SBPO 2026

    Graph-based airspace control and path optimization for last-mile delivery drones

  • SBPO 2022

    DATA COLLECTION PROTOCOL FOR COVID-19 SEVERITY PREDICTION USING MACHINE LEARNIN

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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-2024

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