Cristóbal Esteban

According to our database, Cristóbal Esteban authored at least 10 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

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

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

CoRR, 2019

2018

A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients.

Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz

Proceedings of the AMIA 2018, 2018

2017

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

Cristóbal Esteban, Stephanie L. Hyland, Gunnar Rätsch

CoRR, 2017

2016

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

Cristóbal Esteban, Oliver Staeck, Yinchong Yang, Volker Tresp

CoRR, 2016

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

Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Predicting the co-evolution of event and Knowledge Graphs.

Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass

Proceedings of the 19th International Conference on Information Fusion, 2016

Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling.

Yinchong Yang, Cristóbal Esteban, Volker Tresp

Proceedings of the Semantic Web. Latest Advances and New Domains, 2016

2015

Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission.

Denis Krompaß, Cristóbal Esteban, Volker Tresp, Martin Sedlmayr, Thomas Ganslandt

Künstliche Intell., 2015

Learning with Memory Embeddings.

Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß

CoRR, 2015

Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model.

Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015