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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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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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Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

Nov 17, 2016
Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp


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Learning with Memory Embeddings

May 07, 2016
Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß

* 29 pages, NIPS 2015 Workshop on Nonparametric Methods for Large Scale Representation Learning 

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Predicting the Co-Evolution of Event and Knowledge Graphs

Dec 21, 2015
Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß


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