A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data

AuthID
 P-00V-GE0
4
Author(s)
Pereira, PJ
·
Pereira, A
·
Pilastri, A
5
Editor(s)
Marreiros,G;Melo,FS;Lau,N;Cardoso,HL;Reis,LP
Document Type
Proceedings Paper
Year published
2021
Published
in PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021) in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743
Volume: 12981, Pages: 561-572 (12)
Conference
20Th Epia Conference on Artificial Intelligence (Epia), Date: SEP 07-09, 2021, Location: ELECTR NETWORK, Sponsors: EPIA
Indexing
Wos®
Scopus®
Crossref®3
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Publication Identifiers
Scopus: 2-s2.0-85115446140
Wos: WOS:000773030600042
Source Identifiers
ISSN: 0302-9743
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