G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning

24 October 2018

Papers citing "G-SMOTE: A GMM-based synthetic minority oversampling technique for imbalanced learning"

4 / 4 papers shown

Title
Deep Forest Zhi Zhou Ji Feng 37 1,008 0 28 Feb 2017
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 39 878 0 14 Aug 2015
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction F. Provost Gary M. Weiss 56 995 0 22 Jun 2011
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 208 25,443 0 09 Jun 2011