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English Information

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Authors
# Name
1 Lucas Scoralick(lucas.scoralick@aluno.cefet-rj.br)
2 Kele Belloze(kele.belloze@cefet-rj.br)
3 Diego Brandão(diego.brandao@cefet-rj.br)

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Reference
# Reference
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4 García Rodríguez, M. J. et al. (2022). Collusion detection in public procurement auctions with machine learning algorithms. Automation in Construction, 133:104047.
5 Huber, M. and Imhof, D. (2019). Machine learning with screens for detecting bid-rigging cartels. International Journal of Industrial Organization, 65:277 – 301.
6 Imhof, D. and Wallimann, H. (2021). Detecting bid-rigging coalitions in different countries and auction formats. International Review of Law and Economics, 68.
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8 Júnior, D. P. G., de Sousa Filho, G. F., and dos Anjos Formiga Cabral, L. (2023). Classificação de fraudes em licitações públicas através do agrupamento de empresas em conluios. Anais do XI Workshop de Computação Aplicada em Governo Eletrônico (WCGE 2023).
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11 Silva, E., Fragoso, G., Rodrigues, L., Freitas, N., and Vinuto, T. (2022). Exposer: Framework para detecção de anomalias em licitações públicas. In Anais Estendidos do XXXVII Simpósio Brasileiro de Bancos de Dados, pages 77–82, Porto Alegre, RS, Brasil. SBC.
12 Silveira, D., de Moraes, L. B., Fiuza, E. P., and Cajueiro, D. O. (2023). Who are you? cartel detection using unlabeled data. International Journal of Industrial Organization, 88.
13 Silveira, D., Vasconcelos, S., Resende, M., and Cajueiro, D. O. (2022). Won’t get fooled again: A supervised machine learning approach for screening gasoline cartels. Energy Economics, 105.
14 Wallimann, H., Imhof, D., and Huber, M. (2023). A machine learning approach for flagging incomplete bid-rigging cartels. Computational Economics, 62(4):1669 – 1720.
15 Wang, Z. et al. (2023). Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ards in intensive care units. Heart and Lung, 58:74 – 81.