Decoupling decision-making in fraud prevention through classifier calibration for business logic action (2024)
- Authors:
- Autor USP: PONTI, MOACIR ANTONELLI - ICMC
- Unidade: ICMC
- DOI: 10.1145/3605098.3636089
- Subjects: APRENDIZADO COMPUTACIONAL; FRAUDE NO COMÉRCIO E NA INDÚSTRIA; MÉTODOS PROBABILÍSTICOS
- Keywords: Score-Based Actions; Classifier Calibration; Probabilistic Methods
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LUZIO, Emanuele et al. Decoupling decision-making in fraud prevention through classifier calibration for business logic action. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636089. Acesso em: 08 abr. 2026. -
APA
Luzio, E., Ponti, M. A., Ramirez Arevalo, C., & Argerich, L. (2024). Decoupling decision-making in fraud prevention through classifier calibration for business logic action. In Proceedings. New York: ACM. doi:10.1145/3605098.3636089 -
NLM
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2026 abr. 08 ] Available from: https://doi.org/10.1145/3605098.3636089 -
Vancouver
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2026 abr. 08 ] Available from: https://doi.org/10.1145/3605098.3636089 - Mobile inertial sensors for fall risk screening and prediction
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