DISTSMOGN: Distributed Smogn for Imbalanced Regression Problems

AuthID
 P-00Z-27A
3
Author(s)
Song, XY
·
Dao, N
·
6
Editor(es)
Moniz,N;Branco,P;Torgo,L;Japkowicz,N;Wozniak,M;Wang,S
Tipo de Documento
Proceedings Paper
Year published
2022
Publicado
in Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022 in Proceedings of Machine Learning Research
Volume: 183, Páginas: 38-52
Indexing
Dblp®/pt/publications/view/1018090
Publication Identifiers
DBLP: conf/lidta/SongDB22
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