2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
A Software Tool for Evaluating Unmanned Autonomous Systems
Abdollah Homaifar, Ali Karimoddini, Mike Heiges +3
The North Carolina Agriculture and Technical State University (NC A&T) in collaboration with Georgia Tech Research Institute (GTRI) has developed methodologies for creating simulat…
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…
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar +1
In multi-label classification tasks, each problem instance is associated with multiple classes simultaneously. In such settings, the correlation between labels contains valuable in…