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.SD2021

Music Embedding: A Tool for Incorporating Music Theory into Computational Music Applications

SeyyedPooya HekmatiAthar, Mohd Anwar

Advancements in the digital technologies have enabled researchers to develop a variety of Computational Music applications. Such applications are required to capture, process, and…