|Neural persistence: A complexity measure for deep neural networks using algebraic topology|
B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt
International Conference on Learning Representations (ICLR), 2019
|Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework|
G Glusman, PW Rose, A Prlić, J Dougherty, JM Duarte, AS Hoffman, ...
Genome medicine 9 (1), 1-10, 2017
|A Persistent Weisfeiler-Lehman Procedure for Graph Classification|
B Rieck, C Bock, K Borgwardt
International Conference on Machine Learning (ICML), 5448-5458, 2019
|Machine learning for early prediction of circulatory failure in the intensive care unit|
SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ...
arXiv preprint arXiv:1904.07990, 2019
|Association mapping in biomedical time series via statistically significant shapelet mining|
C Bock, T Gumbsch, M Moor, B Rieck, D Roqueiro, K Borgwardt
Bioinformatics 34 (13), i438-i446, 2018
|Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices|
C Bock, G Demiris, Y Choi, T Le, HJ Thompson, A Samuel, D Huang
Technology and Health Care 24 (4), 541-550, 2016
|Biological and functional relevance of CASP predictions|
T Liu, S Ish‐Shalom, W Torng, A Lafita, C Bock, M Mort, DN Cooper, ...
Proteins: Structure, Function, and Bioinformatics 86, 374-386, 2018
|Set functions for time series|
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
International Conference on Machine Learning, 4353-4363, 2020
|Uncovering the topology of time-varying fmri data using cubical persistence|
B Rieck, T Yates, C Bock, K Borgwardt, G Wolf, N Turk-Browne, ...
arXiv preprint arXiv:2006.07882, 2020
|A Wasserstein Subsequence Kernel for Time Series|
C Bock, M Togninalli, E Ghisu, T Gumbsch, B Rieck, K Borgwardt
International Conference on Data Mining (ICDM), 2019
|Visualizing Sensor Data through an Open Platform for Connected Devices.|
C Bock, A Samuel, D Huang, HJ Thompson, G Demiris
Studies in health technology and informatics 216, 964-964, 2015
|Path Imputation Strategies for Signature Models|
M Moor, M Horn, C Bock, K Borgwardt, B Rieck
arXiv preprint arXiv:2005.12359, 2020
|Solving Interoperability in Translational Health: Perspectives of Students from the International Partnership in Health Informatics Education (IPHIE) 2016 Master Class|
AM Turner, JC Facelli, M Jaspers, T Wetter, D Pfeifer, LC Gatewood, ...
Applied clinical informatics 8 (2), 651, 2017
|Enhancing statistical power in temporal biomarker discovery through representative shapelet mining|
T Gumbsch, C Bock, M Moor, B Rieck, K Borgwardt
Bioinformatics 36, i840-i848, 2020
|Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning|
C Bock, M Moor, CR Jutzeler, K Borgwardt
Artificial Neural Networks, 33-71, 2020
|Privacy Considerations for the Visualization of Longitudinal Activity and Environmental Data Generated by Smart Home Applications for Older Adults|
G Demiris, T Le, C Bock, H Thompson, A Samuel, D Huang, ...
Gerontologist 55, 563-564, 2015