A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts (2019)
Nascimento, Alexandre Moreira; Vismari, Lúcio Flávio 
; Cugnasca, Paulo Sérgio ; Camargo Júnior, João Batista ; Almeida Junior, Jorge Rady de
Source: ICMLA. Conference titles: International Conference on Machine Learning and Applications. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, SOFTWARES, DEFEITO
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NASCIMENTO, Alexandre Moreira et al. A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://www.doi.org/10.1109/ICMLA.2019.00292. Acesso em: 18 out. 2024.APA
Nascimento, A. M., Vismari, L. F., Cugnasca, P. S., Camargo Júnior, J. B., & Almeida Junior, J. R. de. (2019). A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts. In ICMLA. Piscataway: IEEE. doi:10.1109/ICMLA.2019.00292NLM
Nascimento AM, Vismari LF, Cugnasca PS, Camargo Júnior JB, Almeida Junior JR de. A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts [Internet]. ICMLA. 2019 ;[citado 2024 out. 18 ] Available from: https://www.doi.org/10.1109/ICMLA.2019.00292Vancouver
Nascimento AM, Vismari LF, Cugnasca PS, Camargo Júnior JB, Almeida Junior JR de. A cost-sensitive approach to enhance the use of ML classifiers in software testing efforts [Internet]. ICMLA. 2019 ;[citado 2024 out. 18 ] Available from: https://www.doi.org/10.1109/ICMLA.2019.00292
