Source: Inteligencia Artificial. Unidade: EESC
Subjects: NEOPLASIAS MAMÁRIAS, ALGORITMOS, DIAGNÓSTICO
ABNT
PINHEIRO, João Manoel Herrera e BECKER, Marcelo. Breast cancer classification using gradient boosting algorithms focusing on reducing the false negative and SHAP for explainability. Inteligencia Artificial, v. 28, n. 75, p. 63-80, 2024Tradução . . Disponível em: http://dx.doi.org/10.4114/intartif.vol28iss75pp63-80. Acesso em: 07 dez. 2025.APA
Pinheiro, J. M. H., & Becker, M. (2024). Breast cancer classification using gradient boosting algorithms focusing on reducing the false negative and SHAP for explainability. Inteligencia Artificial, 28( 75), 63-80. doi:10.4114/intartif.vol28iss75pp63-80NLM
Pinheiro JMH, Becker M. Breast cancer classification using gradient boosting algorithms focusing on reducing the false negative and SHAP for explainability [Internet]. Inteligencia Artificial. 2024 ; 28( 75): 63-80.[citado 2025 dez. 07 ] Available from: http://dx.doi.org/10.4114/intartif.vol28iss75pp63-80Vancouver
Pinheiro JMH, Becker M. Breast cancer classification using gradient boosting algorithms focusing on reducing the false negative and SHAP for explainability [Internet]. Inteligencia Artificial. 2024 ; 28( 75): 63-80.[citado 2025 dez. 07 ] Available from: http://dx.doi.org/10.4114/intartif.vol28iss75pp63-80
