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 | 303 | 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, K Borgwardt arXiv preprint arXiv:1812.09764, 2018 | 136 | 2018 |
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 | 29 | 2018 |
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 | 13 | 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 | 12 | 2019 |
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 | 5 | 2020 |
Kernel conditional clustering and kernel conditional semi-supervised learning X He, T Gumbsch, D Roqueiro, K Borgwardt Knowledge and information systems 62, 899-925, 2020 | 5 | 2020 |
Kernel conditional clustering X He, T Gumbsch, D Roqueiro, K Borgwardt 2017 IEEE International Conference on Data Mining (ICDM), 157-166, 2017 | 5 | 2017 |
Ethnicity-based bias in clinical severity scores T Gumbsch, K Borgwardt The Lancet Digital Health 3 (4), e209-e210, 2021 | 2 | 2021 |
An Empirical Study on KDIGO-Defined Acute Kidney Injury Prediction in the Intensive Care Unit X Lyu, B Fan, M Hüser, P Hartout, T Gumbsch, M Faltys, TM Merz, ... medRxiv, 2024.02. 01.24302063, 2024 | 1 | 2024 |
Longitudinal Pattern Mining for the Intensive Care Unit T Gumbsch ETH Zurich, 2022 | | 2022 |