62 citations · 137 across the 16 of their papers we have counts for
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cs.CL2018
Rule induction for global explanation of trained models
Madhumita Sushil, Simon Šuster, Walter Daelemans
Understanding the behavior of a trained network and finding explanations for its outputs is important for improving the network's performance and generalization ability, and for en…
cs.CL2018★ 47 cited
Patient representation learning and interpretable evaluation using clinical notes
Madhumita Sushil, Simon Šuster, Kim Luyckx +1
We have three contributions in this work: 1. We explore the utility of a stacked denoising autoencoder and a paragraph vector model to learn task-independent dense patient represen…