6 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2015★ 3 cited
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping
Tameem Adel, Alexander Wong, Daniel Stashuk
In this study, a spectral graph-theoretic grouping strategy for weakly supervised classification is introduced, where a limited number of labelled samples and a larger set of unlab…
cs.LG2013★ 6 cited
Generative Multiple-Instance Learning Models For Quantitative Electromyography
Tameem Adel, Benn Smith, Ruth Urner +2
We present a comprehensive study of the use of generative modeling approaches for Multiple-Instance Learning (MIL) problems. In MIL a learner receives training instances grouped to…