2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
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…
QLMC-HD: Quasi Large Margin Classifier based on Hyperdisk
Hassan Ataeian, Shahriar Esmaeili, Saeideh Roshanfekr +3
In the area of data classification, the different classifiers have been developed by their own strengths and weaknesses. Among these classifiers, we propose a method that is based…