2 papers
cs.LG2020
UGRWO-Sampling for COVID-19 dataset: A modified random walk under-sampling approach based on graphs to imbalanced data classification
Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian +1
This paper proposes a new RWO-Sampling (Random Walk Over-Sampling) based on graphs for imbalanced datasets. In this method, two schemes based on under-sampling and over-sampling me…
cs.CV2019
Weighted second-order cone programming twin support vector machine for imbalanced data classification
Saeideh Roshanfekr, Shahriar Esmaeili, Hassan Ataeian +1
We propose a method of using a Weighted second-order cone programming twin support vector machine (WSOCP-TWSVM) for imbalanced data classification. This method constructs a graph b…