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ML4H Abstract Track 2020

Nov 19, 2020
Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland


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On the Intrinsic Privacy of Stochastic Gradient Descent

Dec 05, 2019
Stephanie L. Hyland, Shruti Tople

* 15 pages, 9 figures 

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Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies

May 03, 2019
Stefan G. Stark, Stephanie L. Hyland, Melanie F. Pradier, Kjong Lehmann, Andreas Wicki, Fernando Perez Cruz, Julia E. Vogt, Gunnar Rätsch


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Machine learning for early prediction of circulatory failure in the intensive care unit

Apr 19, 2019
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar Rätsch, Tobias M. Merz

* 5 main figures, 1 main table, 13 supplementary figures, 5 supplementary tables; 250ppi images 

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Improving Clinical Predictions through Unsupervised Time Series Representation Learning

Dec 02, 2018
Xinrui Lyu, Matthias Hueser, Stephanie L. Hyland, George Zerveas, Gunnar Raetsch

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Dec 04, 2017
Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch

* 13 pages, 4 figures, 3 tables (update with differential privacy) 

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Learning Unitary Operators with Help From u(n)

Jan 10, 2017
Stephanie L. Hyland, Gunnar Rätsch

* 9 pages, 3 figures, 5 figures inc. subfigures, to appear at AAAI-17 

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Neural Document Embeddings for Intensive Care Patient Mortality Prediction

Dec 01, 2016
Paulina Grnarova, Florian Schmidt, Stephanie L. Hyland, Carsten Eickhoff


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Knowledge Transfer with Medical Language Embeddings

Feb 10, 2016
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch

* 6 pages, 2 figures, to appear at SDM-DMMH 2016 

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A Generative Model of Words and Relationships from Multiple Sources

Dec 03, 2015
Stephanie L. Hyland, Theofanis Karaletsos, Gunnar Rätsch

* 8 pages, 5 figures; incorporated feedback from reviewers; to appear in Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence 2016 

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