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20222024
most citedMitigating shortage of labeled data using clustering-based active learning with diversity exploration

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2022

Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints

Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada +4

Generating unsafe sub-requirements from a partitioned input space to support verification-guided test cases for formal verification of black-box models is a challenging problem for…

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…