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Trabalho de evento
Technical debt management in agile context: a new framework and case study in a large financial institution (2024)
Archela, Gisela M. Q. M.; Melo, Ana Cristina Vieira de; Gava, Vagner Luiz
Fonte: Proceedings. Nome do evento: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: IME
Assuntos: ENGENHARIA DE SOFTWARE, MÉTODOS ÁGEIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARCHELA, Gisela M. Q. M. e MELO, Ana Cristina Vieira de e GAVA, Vagner Luiz. Technical debt management in agile context: a new framework and case study in a large financial institution. 2024, Anais.. New York: ACM, 2024. p. 826-833. Disponível em: https://doi.org/10.1145/3605098.3635946. Acesso em: 05 nov. 2025.
APA
Archela, G. M. Q. M., Melo, A. C. V. de, & Gava, V. L. (2024). Technical debt management in agile context: a new framework and case study in a large financial institution. In Proceedings (p. 826-833). New York: ACM. doi:10.1145/3605098.3635946
NLM
Archela GMQM, Melo ACV de, Gava VL. Technical debt management in agile context: a new framework and case study in a large financial institution [Internet]. Proceedings. 2024 ; 826-833.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3635946
Vancouver
Archela GMQM, Melo ACV de, Gava VL. Technical debt management in agile context: a new framework and case study in a large financial institution [Internet]. Proceedings. 2024 ; 826-833.[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3635946
Trabalho de evento
A two-stage calibration approach for mitigating bias and fairness in recommender systems (2024)
Souza, Rodrigo Ferrari de ; Manzato, Marcelo Garcia
Fonte: Proceedings. Nome do evento: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Assunto: SISTEMAS DE RECOMENDAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Rodrigo Ferrari de e MANZATO, Marcelo Garcia. A two-stage calibration approach for mitigating bias and fairness in recommender systems. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636092. Acesso em: 05 nov. 2025.
APA
Souza, R. F. de, & Manzato, M. G. (2024). A two-stage calibration approach for mitigating bias and fairness in recommender systems. In Proceedings. New York: ACM. doi:10.1145/3605098.3636092
NLM
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636092
Vancouver
Souza RF de, Manzato MG. A two-stage calibration approach for mitigating bias and fairness in recommender systems [Internet]. Proceedings. 2024 ;[citado 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636092
Trabalho de evento
Decoupling decision-making in fraud prevention through classifier calibration for business logic action (2024)
Luzio, Emanuele ; Ponti, Moacir Antonelli ; Ramirez Arevalo, Christian; Argerich, Luis
Fonte: Proceedings. Nome do evento: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, FRAUDE NO COMÉRCIO E NA INDÚSTRIA, MÉTODOS PROBABILÍSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 2025.
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 2025 nov. 05 ] 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 2025 nov. 05 ] Available from: https://doi.org/10.1145/3605098.3636089

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