Thomas Gumbsch
Thomas Gumbsch
PhD Student ETH Zurich
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Year
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
arXiv preprint arXiv:1812.09764, 2018
432018
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
422020
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
182018
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
62019
A Wasserstein Subsequence Kernel for Time Series
C Bock, M Togninalli, E Ghisu, T Gumbsch, B Rieck, K Borgwardt
2019 IEEE International Conference on Data Mining (ICDM), 964-969, 2019
42019
Kernel conditional clustering
X He, T Gumbsch, D Roqueiro, K Borgwardt
2017 IEEE International Conference on Data Mining (ICDM), 157-166, 2017
32017
Kernel conditional clustering and kernel conditional semi-supervised learning
X He, T Gumbsch, D Roqueiro, K Borgwardt
Knowledge and information systems, 1-27, 2019
12019
Ethnicity-based bias in clinical severity scores
T Gumbsch, K Borgwardt
The Lancet Digital Health 3 (4), e209-e210, 2021
2021
Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
T Gumbsch, C Bock, M Moor, B Rieck, K Borgwardt
Bioinformatics 36 (Supplement_2), i840-i848, 2020
2020
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Articles 1–9