| 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 | 24 | 2017 |
| 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 | 19 | 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 | 12 | 2018 |
| A Persistent Weisfeiler-Lehman Procedure for Graph Classification B Rieck, C Bock, K Borgwardt International Conference on Machine Learning (ICML), 5448-5458, 2019 | 11 | 2019 |
| 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 | 10 | 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 | 5 | 2018 |
| 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 | 3 | 2019 |
| 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 | 2 | 2020 |
| Visualizing sensor data through an open platform for connected devices C Bock, T Le, A Samuel, D Huang, HJ Thompson, G Demiris Studies in health technology and informatics 216, 964, 2015 | 2 | 2015 |
| Set Functions for Time Series M Horn, M Moor, C Bock, B Rieck, K Borgwardt arXiv preprint arXiv:1909.12064, 2019 | 1 | 2019 |
| 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 | 1 | 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, ... arXiv preprint arXiv:2006.07882, 2020 | | 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 | | 2019 |
| 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 | | 2015 |
| 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, 0 | | |
| Path Imputation Strategies for Signature Models of Irregular Time Series M Moor, M Horn, C Bock, K Borgwardt, B Rieck | | |
Karsten BorgwardtProfessor, ETH ZurichVerified email at bsse.ethz.ch
