An empirical analysis of data drift detection techniques in machine learning systems (2024)
Source: Anais. Conference titles: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, SOFTWARES
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: 16 maio 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 maio 16 ] 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 maio 16 ] Available from: https://sol.sbc.org.br/index.php/sbbd/article/view/30681/30484