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Publication details

Document type
Book chapters


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

Participants in the publication
Marcelo Oliveira Vasconcelos (Author)
Ricardo Matos Chaim (Author)
Luís Cavique (Author)
LASIGE
Date of Publication
2021

Where published
Progress in Artificial Intelligence,Lecture Notes in Computer Science

Publication Identifiers
ISSN - 0302-9743

Publisher
Springer International Publishing

Edition
vol 12981 Springer

Number of pages
14
Starting page
510
Last page
523

Document Identifiers
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


Export

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} }