SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, W. Philip Kegelmeyer; Journal / source: Journal of Artificial Intelligence Research; Year: 2002.
| Authors | Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, W. Philip Kegelmeyer |
|---|---|
| Journal / source | Journal of Artificial Intelligence Research |
| Year | 2002 |
| Field | Imbalanced Data Classification Techniques |
| Times cited | 31047 |
| Type | article |
| DOI / link | https://doi.org/10.1613/jair.953 |