publication 1_crop
Early Prediction of Sepsis in the ICU using Machine Learning: A Systematic Review

Michael Moor, Bastian Rieck, Max Horn, Catherine Jutzeler, and Karsten Borgwardt

Front. Med., 28 May 2021, doi: org/10.3389/fmed.2021.607952

publication 4_crop
SPHN/PHRT: Forming a Swiss-Wide Infrastructure for Data-Driven Sepsis Research

Adrian Egli, Manuel Battegay, Andrea C Büchler, Peter Bühlmann, Thierry Calandra, Philippe Eckert, Hansjakob Furrer, Gilbert Greub, Stephan M Jakob, Laurent Kaiser, Stephen L Leib, Stephan Marsch, Nicolai Meinshausen, Jean-Luc Pagani, Jerome Pugin, Gunnar Rätsch, Jacques Schrenzel, Reto Schüpbach, Martin Siegemund, Nicola Zamboni, Reinhard Zbinden, Annelies Zinkernagel, and Karsten Borgwardt

Studies in Health Technology and Informatics 2020, 270: 1163–1167

publication 3_crop
Topological Autoencoders

Michael Moor*, Max Horn*, Bastian Rieck and Karsten Borgwardt (*= equal contribution)

Proceedings of the 37th International Conference on Machine Learning, PMLR 119:7045-7054, 2020.

publication 5_crop
Set Functions for Time Series

Max Horn, Michael Moor, Christian Bock, Bastian Rieck and Karsten Borgwardt

Proceedings of the 37th International Conference on Machine Learning, PMLR 119:4353-4363, 2020.

publication 6_crop
Enhancing statistical power in temporal biomarker discovery through representative shapelet mining

Thomas Gumbsch, Christian Bock, Michael Moor, Bastian Rieck, and Karsten Borgwardt

ECCB and Bioinformatics 2020, 36(Supplement_2): i840–i848

publication 7_crop
GP-VAE: Deep Probabilistic Time Series Imputation

Vincent Fortuin, Dmitry Baranchuk, Gunnar Raetsch, Stephan Mandt

Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics,PMLR 108:1651-1661, 2020.

publication 8_crop
Early prediction of circulatory failure in the intensive care unit using machine learning

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°, and Tobias M. Merz° (* = equal contribution, ° = joint supervision).

Nature Medicine 2020, 26:364–373

publication 9_crop
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping

Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro and Karsten Borgwardt

Machine Learning for Healthcare Conference (MLHC) 2019 and Proceedings of Machine Learning Research 106:2–26, 2019