Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
A new boundary-degree-based oversampling method for imbalanced data — Yueqi Chen (2023) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
A new boundary-degree-based oversampling method for imbalanced data
Shared by
Witold Pedrycz
University of Alberta
A new boundary-degree-based oversampling method for imbalanced data
Article
2023
en
Related publications
Article
2025
Oversampling with GAN via meta-learning for imbalanced data
Yueqi Chen
,
Witold Pedrycz
,
Chao Zhang
,
Jian Wang
,
Jie Yang
Article
2022
Perturbation-based oversampling technique for imbalanced classification problems
Jianjun Zhang
,
Ting Wang
,
Wing W. Y. Ng
,
Witold Pedrycz
Authors
YC
Yueqi Chen
Witold Pedrycz
University of Alberta
JY
Jie Yang
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Article
2025
Pseudo Oversampling Based on Feature Transformation and Fuzzy Membership Functions for Imbalanced and Overlapping Data
Tingting Pan
,
Witold Pedrycz
,
Jie Yang
Preprint
2023
Pseudo Oversampling Based on Feature Transformation and Fuzzy Membership Functions for Imbalanced and Overlapping Data
Tingting Pan
,
Witold Pedrycz
,
Jie Yang
Article
2024
Pseudo Oversampling Based on Feature Transformation and Fuzzy Membership Functions for Imbalanced and Overlapping Data
Tingting Pan
,
Witold Pedrycz
,
Jie Yang
,
Dahai Zhang
Discussion(0)
No comments yet. Be the first to comment.