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Detalhes Referência

Tipo
Capítulo em Livro


Título
Imbalanced Learning in Assessing the Risk of Corruption in Public Administration

Participantes na publicação
Marcelo Oliveira Vasconcelos (Author)
Ricardo Matos Chaim (Author)
Luís Cavique (Author)
LASIGE

Data de Publicação
2021

Suporte
Progress in Artificial Intelligence,Lecture Notes in Computer Science

Identificadores da Publicação
ISSN - 0302-9743

Editora
Springer International Publishing

Edição
vol 12981 Springer

Número de Páginas
14
Página Inicial
510
Página Final
523

Identificadores do Documento
DOI - https://doi.org/10.1007/978-3-030-86230-5_40
URL - http://dx.doi.org/10.1007/978-3-030-86230-5_40


Exportar referência

APA
Marcelo Oliveira Vasconcelos, Ricardo Matos Chaim, Luís Cavique, (2021). Imbalanced Learning in Assessing the Risk of Corruption in Public Administration. Progress in Artificial Intelligence,Lecture Notes in Computer Science, 510-523

IEEE
Marcelo Oliveira Vasconcelos, Ricardo Matos Chaim, Luís Cavique, "Imbalanced Learning in Assessing the Risk of Corruption in Public Administration" in Progress in Artificial Intelligence,Lecture Notes in Computer Science, 2021, pp. 510-523

BIBTEX
@incollection{52837, author = {Marcelo Oliveira Vasconcelos and Ricardo Matos Chaim and Luís Cavique}, title = {Imbalanced Learning in Assessing the Risk of Corruption in Public Administration}, booktitle = {Progress in Artificial Intelligence,Lecture Notes in Computer Science}, year = 2021, pages = {510-523}, address = {}, publisher = {Springer International Publishing} }