Madhumita Sushil
Cited by
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Patient representation learning and interpretable evaluation using clinical notes
M Sushil, S Šuster, K Luyckx, W Daelemans
Journal of biomedical informatics 84, 103-113, 2018
Counting trees in random forests: predicting symptom severity in psychiatric intake reports
E Scheurwegs, M Sushil, S Tulkens, W Daelemans, K Luyckx
Journal of biomedical informatics 75, S112-S119, 2017
Integration of Safety and Smartness Using Cloud Services: An Insight to Future
N Tekriwal, Madhumita, PV Krishna
Innovations and Advances in Computer, Information, Systems Sciences, and …, 2013
Rule induction for global explanation of trained models
M Sushil, S Šuster, W Daelemans
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
Unsupervised patient representations from clinical notes with interpretable classification decisions
M Sushil, S Šuster, K Luyckx, W Daelemans
Workshop on Machine Learning for Health, NeurIPS 2017, 2017
Revisiting neural relation classification in clinical notes with external information
S Šuster, M Sushil, W Daelemans
Workshop on Health Text Mining and Information Analysis (LOUHI), workshop at …, 2018
Distilling neural networks into skipgram-level decision lists
M Sushil, S Šuster, W Daelamans
arXiv preprint arXiv:2005.07111, 2020
Why can't memory networks read effectively?
S Šuster, M Sushil, W Daelemans
arXiv preprint arXiv:1910.07350, 2019
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