An empirical analysis of data drift detection techniques in machine learning systems (2024)
Helfstein, Lucas; Braghetto, Kelly Rosa 
Fonte: Anais. Nome do evento: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidade: IME
Assuntos: APRENDIZADO COMPUTACIONAL, SOFTWARES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HELFSTEIN, Lucas e BRAGHETTO, Kelly Rosa. An empirical analysis of data drift detection techniques in machine learning systems. 2024, Anais.. Porto Alegre: SBC, 2024. Disponível em: https://sol.sbc.org.br/index.php/sbbd/article/view/30681/30484. Acesso em: 08 out. 2025.APA
Helfstein, L., & Braghetto, K. R. (2024). An empirical analysis of data drift detection techniques in machine learning systems. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2024.240606NLM
Helfstein L, Braghetto KR. An empirical analysis of data drift detection techniques in machine learning systems [Internet]. Anais. 2024 ;[citado 2025 out. 08 ] Available from: https://sol.sbc.org.br/index.php/sbbd/article/view/30681/30484Vancouver
Helfstein L, Braghetto KR. An empirical analysis of data drift detection techniques in machine learning systems [Internet]. Anais. 2024 ;[citado 2025 out. 08 ] Available from: https://sol.sbc.org.br/index.php/sbbd/article/view/30681/30484
