Christian Bock
Early prediction of circulatory failure in the intensive care unit using machine learning
SL Hyland, M Faltys, M Hüser, X Lyu, T Gumbsch, C Esteban, C Bock, ...
Nature medicine 26 (3), 364-373, 2020
Neural persistence: A complexity measure for deep neural networks using algebraic topology
B Rieck*, M Togninalli*, C Bock*, M Moor, M Horn, T Gumbsch, ...
International Conference on Learning Representations (ICLR), 2019
Set functions for time series
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 4353-4363, 2020
A Persistent Weisfeiler-Lehman Procedure for Graph Classification
B Rieck*, C Bock*, K Borgwardt
International Conference on Machine Learning (ICML), 5448-5458, 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, 1-10, 2017
Uncovering the topology of time-varying fmri data using cubical persistence
B Rieck*, T Yates*, C Bock, K Borgwardt, G Wolf, N Turk-Browne, ...
Advances in Neural Information Processing Systems 33, 2020
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
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
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
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
Path Imputation Strategies for Signature Models of Irregular Time Series
M Moor, M Horn, C Bock, K Borgwardt, B Rieck
arXiv preprint arXiv:2005.12359, 2020
Online time series anomaly detection with state space gaussian processes
C Bock, FX Aubet, J Gasthaus, A Kan, M Chen, L Callot
arXiv preprint arXiv:2201.06763, 2022
Thai Le, Hilaire J Thompson, Arjmand Samuel, and Danny Huang. 2016. Engaging older adults in the visualization of sensor data facilitated by an open platform for connected devices
C Bock, G Demiris, Y Choi
Technology and Health Care 24 (4), 541-550, 2016
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
Solving Interoperability in Translational Health
AM Turner, JC Facelli, M Jaspers, T Wetter, D Pfeifer, LC Gatewood, ...
Applied clinical informatics 8 (02), 651-659, 2017
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
Motifs and Manifolds Statistical and Topological Machine Learning for Characterising and Classifying Biomedical Time Series
C Bock
ETH Zurich, 2021
The SAE International Journal of Connected and Automated Vehicles would like to thank and acknowledge the reviewers who have done peer reviews on articles over the past year.
A Abdo, A Abraham, M Afify, A Ahmad, M Alapati, P Alipour, A Alnaser, ...
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
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