Name
Abstract | ||
|---|---|---|
•Propose a new metric, the adjusted IR, to better measure the class imbalance extent.•Study the effect of dimensionality on the classification performance of imbalanced data.•Demonstrate the effectiveness of the adjusted IR in both simulations and real-data experiments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.03.004 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Imbalanced data,Imbalance extent,Imbalanced learning,Imbalance ratio,Pearson correlation test | Journal | 133 |
ISSN | Citations | PageRank |
0167-8655 | 2 | 0.36 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhu, R. | 1 | 20 | 5.47 |
| Yiwen Guo | 2 | 180 | 13.87 |
| Jing-Hao Xue | 3 | 15 | 10.05 |