33 citations · 41 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 8 cited
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem
Liran Shen, Meng Joo Er, Qingbo Yin
The Classification on high-dimension low-sample-size data (HDLSS) is a challenging problem and it is common to have class-imbalanced data in most application fields. We term this a…
cs.LG2020★ 33 cited
The classification for High-dimension low-sample size data
Liran Shen, Meng Joo Er, Qingbo Yin
Huge amount of applications in various fields, such as gene expression analysis or computer vision, undergo data sets with high-dimensional low-sample-size (HDLSS), which has putte…
cs.LG2019
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems
Qingbo Yin, Ehsan Adeli, Liran Shen +1
Various applications in different fields, such as gene expression analysis or computer vision, suffer from data sets with high-dimensional low-sample-size (HDLSS), which has posed…