Publications

Authors that equally contributed to a publication are marked with a †.

2022

Online Time Series Anomaly Detection with State Space Gaussian Processes
Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot
Preprint, arXiv:2201.06763

2021

Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series
Christian Bock
Ph.D. Dissertation

2020

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
Thomas Gumbsch, Christian Bock, Michael Moor, Bastian Rieck, Karsten Borgwardt
Bioinformatics, Volume 36, pp. i840–i848, 2020

Set functions for time series
Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt
Proceedings of the 37th International Conference on Machine Learning (ICML), PMLR 119:4353-4363, 2020

Uncovering the topology of time-varying fmri data using cubical persistence
Bastian Rieck, Tristan Yates, Christian Bock, Karsten Borgwardt, Guy Wolf, Nicholas Turk-Browne, Smita Krishnaswamy
Advances in Neural Information Processing Systems (NeurIPS), Volume 33, 2020

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Christian Bock, Michael Moor, Catherine R. Jutzeler, Karsten Borgwardt
Book chapter in: Artificial Neural Networks. Methods in Molecular Biology

Path Imputation Strategies for Signature Models
Michael Moor, Max Horn, Christian Bock, Karsten Borgwardt, Bastian Rieck
Preprint, arXiv:2005.12359, 2020.

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
Nature Medicine, Volume 26, Issue 3, pp. 364–373, March 2020.

2019

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

A Wasserstein Subsequence Kernel for Time Series
Christian Bock, Matteo Togninalli, Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, and Karsten Borgwardt
Proceedings of The 19th IEEE International Conference on Data Mining (ICDM 2019).

A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Bastian Rieck, Christian Bock, Karsten Borgwardt
Proceedings of the 36th International Conference on Machine Learning (ICML), Volume 97 of Proceedings of Machine Learning Research, pp. 5448–5458, June 2019.
Poster

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

2018

Association Mapping in Biomedical Time Series via Statistically Significant Shapelet Mining
Christian Bock, Thomas Gumbsch, Michael Moor, Bastian Rieck, Damian Roqueiro, Karsten Borgwardt Bioinformatics, Volume 34, Issue 13, pp. i438–i446, July 2018.
Slides

Biological and Functional Relevance of CASP Predictions
Tianyun Liu, Shirbi Ish‐Shalom, Wen Torng, Aleix Lafita, Christian Bock, Matthew Mort, David N Cooper, Spencer Bliven, Guido Capitani, Sean D. Mooney, Russ B. Altman
Proteins 86, 374-386.

2017

Mapping Genetic Variations to Three-dimensional Protein Structures to Enhance Variant Interpretation: A Proposed Framework
Gustavo Glusman, Peter W Rose, Andreas Prlić, Jennifer Dougherty, José M Duarte, Andrew S Hoffman, Geoffrey J Barton, Emøke Bendixen, Timothy Bergquist, Christian Bock, Elizabeth Brunk, Marija Buljan, Stephen K Burley, Binghuang Cai, Hannah Carter, JianJiong Gao, Adam Godzik, Michael Heuer, Michael Hicks, Thomas Hrabe, Rachel Karchin, Julia Koehler Leman, Lydie Lane, David L Masica, Sean D Mooney, John Moult, Gilbert S Omenn, Frances Pearl, Vikas Pejaver, Sheila M Reynolds, Ariel Rokem, Torsten Schwede, Sicheng Song, Hagen Tilgner, Yana Valasatava, Yang Zhang, Eric W Deutsch
Genome Med., 9(1), 113.

Solving Interoperability in Translational Health
Anne M. Turner, Julio C. Facelli, Monique Jaspers, Thomas Wetter, Daniel Pfeifer, Laël Cranmer Gatewood, Terry Adam, YuChuan Li, Ming-Chin Lin, R. Scott Evans, Anna Beukenhorst, Hugo Johan Theodoore van Mens, Esmée Tensen, Christian Bock, Laura Fendrich, Peter Seitz, Julian Suleder, Ranyah Aldekhyyel, Kent Bridgeman, Zhen Hu, Aaron Sattler, Shin-Yi Guo, Islam Md. Mohaimenul, Dina Nur Anggraini Ningrum, Hsin-Ru Tung, Jiantao Bian, Joseph M. Plasek, Casey Rommel, Juandalyn Burke, Harkirat Sohi
Applied clinical informatics, 8(02), 651-659.

2016

Engaging Older Adults in the Visualization of Sensor Data Facilitated by an Open Platform for Connected Devices
Christian Bock, George Demiris, Yong Choi, Thai Le, Hilaire J Thompson, Arjmand Samuel, Danny Huang

2015

Privacy Considerations for the Visualization of Longitudinal Activity and Environmental Data Generated by Smart Home Applications for Older Adults
George Demiris, Thai Le, Christian Bock, Hilaire J Thompson, Arjmand Samuel, Danny Huang, Amar Phanishayee

Visualizing Sensor Data through an Open Platform for Connected Devices
Christian Bock, Thai Le, Arjmand Samuel, Danny Huang, Hilaire J Thompson, George Demiris