Early prediction of circulatory failure in the intensive care unit using machine learning. Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu1, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean Bodenham, Karsten Borgwardt, Gunnar Rätsch, and Tobias M. Merz. Nature Medcine. 2020.


Set Functions for Time Series. Max Horn, Michael Moor, Christian Bock, Bastian Rieck, and Karsten Borgwardt. Preprint, arXiv:1909.12064, 2019.

Topological Autoencoders. Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt. Preprint, arXiv:1906.00722, 2019.

Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. Michael Moor, Max Horn, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt. Proceedings of the 4th Machine Learning for Healthcare Conference (MLHC), Volume 106 of Proceedings of Machine Learning Research, pp. 2–26, August 2019. (Poster)

Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. Bastian Rieck, Christian Bock, Matteo Tognialli, Michael Moor, Max Horn, Thomas Gumbsch, Karsten Borgwardt. Proceedings of the International Conference on Learning Representations (ICLR), 2019. (Poster)

Quantification of Liver, Subcutaneous, and Visceral Adipose Tissues by MRI Before and After Bariatric Surgery. Anne Christin Meyer-Gerspach, Ralph Peterli, Michael Moor, Philipp Madörin, Andreas Schötzau, Diana Nabers, Stefan Borgwardt, Christoph Beglinger, Oliver Bieri, Bettina Wölnerhanssen. Obesity surgery, 1-11. 2019.


Association mapping in biomedical time series via statistically significant shapelet mining. Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt. (2018). Bioinformatics, 34(13), i438-i446.