Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids (2021)
- Authors:
- Autor USP: VICENTE, RENATO - IME
- Unidade: IME
- DOI: 10.1002/2050-7038.13046
- Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA; APRENDIZADO COMPUTACIONAL; FRAUDE NO COMÉRCIO E NA INDÚSTRIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Transactions on Electrical Energy Systems
- ISSN: 2050-7038
- Volume/Número/Paginação/Ano: v. 31, n. 9, e13046, 2021
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
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ABNT
SANTOS, Ricardo N et al. Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids. International Transactions on Electrical Energy Systems, v. 31, n. 9, 2021Tradução . . Disponível em: https://doi.org/10.1002/2050-7038.13046. Acesso em: 18 out. 2024. -
APA
Santos, R. N., Yamouni, S., Albiero, B., Vicente, R., Silva, J., Souza, T., et al. (2021). Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids. International Transactions on Electrical Energy Systems, 31( 9). doi:10.1002/2050-7038.13046 -
NLM
Santos RN, Yamouni S, Albiero B, Vicente R, Silva J, Souza T, Freitas Souza M, Lei Z. Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids [Internet]. International Transactions on Electrical Energy Systems. 2021 ; 31( 9):[citado 2024 out. 18 ] Available from: https://doi.org/10.1002/2050-7038.13046 -
Vancouver
Santos RN, Yamouni S, Albiero B, Vicente R, Silva J, Souza T, Freitas Souza M, Lei Z. Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids [Internet]. International Transactions on Electrical Energy Systems. 2021 ; 31( 9):[citado 2024 out. 18 ] Available from: https://doi.org/10.1002/2050-7038.13046 - An information-theoretic approach to statistical dependence: Copula information
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Informações sobre o DOI: 10.1002/2050-7038.13046 (Fonte: oaDOI API)
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