Name
Abstract | ||
|---|---|---|
The skewed distribution of data brings difficulties to classify minority and majority samples in the imbalanced problem. The balanced bagging randomly undersampes majority samples several times and combines the selected majority samples with minority samples to form several balanced subsets, in which the numbers of minority and majority samples are roughly equal. However, the balanced bagging is t... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCYB.2020.3001158 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Bagging,Collaborative work,Boosting,Kernel,Sampling methods,Cybernetics | Journal | 52 |
Issue | ISSN | Citations |
4 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zonghai Zhu | 1 | 11 | 3.54 |
| Zhe Wang | 2 | 268 | 18.89 |
| Dongdong Li | 3 | 246 | 40.19 |
| Wenli Du | 4 | 179 | 30.50 |