Toggle navigation
Publications
Researchers
Institutions
0
Sign In
Federated Authentication
(Click on the image)
Local Sign In
Password Recovery
Register
Sign In
Publications
Search
Statistics
On Oversampling via Generative Adversarial Networks Under Different Data Difficulty Factors
AuthID
P-00Z-279
2
Author(s)
Nazari, E
·
Branco, P
6
Editor(s)
Moniz,N;Branco,P;Torgo,L;Japkowicz,N;Wozniak,M;Wang,S
Document Type
Proceedings Paper
Year published
2021
Published
in
Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021
in
Proceedings of Machine Learning Research
Volume: 154, Pages: 76-89
Indexing
Dblp
®
/en/publications/view/1018089
Metadata
Sources
Publication Identifiers
Dblp
: conf/lidta/NazariB21
Export Publication Metadata
Export
×
Publication Export Settings
BibTex
EndNote
APA
Export Preview
Marked List
Add to Marked List
Info
At this moment we don't have any links to full text documens.
×
Select Source
This publication has:
2 records from
ISI
2 records from
SCOPUS
2 records from
DBLP
2 records from
Unpaywall
2 records from
Openlibrary
2 records from
Handle
2 records from
DataCite
Please select which records must be used by Authenticus!
×
Preview Publications
© 2025 CRACS & Inesc TEC - All Rights Reserved
Privacy Policy
|
Terms of Service