most citedMitigating shortage of labeled data using clustering-based active learning with diversity exploration

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 2 cited

Mitigating shortage of labeled data using clustering-based active learning with diversity exploration

Xuyang Yan, Shabnam Nazmi, Biniam Gebru +4

In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled dat…

cs.LG2021

A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering

Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru +2

Feature selection methods are widely used to address the high computational overheads and curse of dimensionality in classifying high-dimensional data. Most conventional feature se…