Legal actions in Brazilian air transport: A machine learning and multinomial logistic regression analysis

Gabriel de Oliveira Torres, Marcelo Xavier Guterres, Victor Rafael Rezende Celestino

Open source

DOI: 10.3389/ffutr.2023.1070533
Published: 4
Container: Frontiers in Future Transportation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/ffutr.2023.1070533,
  title = {Legal actions in Brazilian air transport: A machine learning and multinomial logistic regression analysis},
  author = {Gabriel de Oliveira Torres and Marcelo Xavier Guterres and Victor Rafael Rezende Celestino},
  year = {2023},
  journal = {Frontiers in Future Transportation},
  doi = {10.3389/ffutr.2023.1070533},
  url = {https://doi.org/10.3389/ffutr.2023.1070533}
}

RIS

TY  - JOUR
TI  - Legal actions in Brazilian air transport: A machine learning and multinomial logistic regression analysis
AU  - Gabriel de Oliveira Torres
AU  - Marcelo Xavier Guterres
AU  - Victor Rafael Rezende Celestino
PY  - 2023
JO  - Frontiers in Future Transportation
DO  - 10.3389/ffutr.2023.1070533
UR  - https://doi.org/10.3389/ffutr.2023.1070533
ER  -

APA

Torres, G. D. O., Guterres, M. X., & Celestino, V. R. R. (2023). Legal actions in Brazilian air transport: A machine learning and multinomial logistic regression analysis. Frontiers in Future Transportation. https://doi.org/10.3389/ffutr.2023.1070533

Source records

doaj · retrieved 2026-11-10T10:24:34.018Z