Michael Moor
Michael Moor
PhD Student, Machine Learning and Computational Biology Lab, ETH Zurich
Verified email at bsse.ethz.ch
Title
Cited by
Cited by
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
Proceedings of the International Conference on Learning Representations, 2019., 2018
172018
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
M Moor, M Horn, B Rieck, D Roqueiro, K Borgwardt
Proceedings of the 4th Machine Learning for Healthcare Conference, 2019., 2019
12*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
82018
Quantification of liver, subcutaneous, and visceral adipose tissues by mri before and after bariatric surgery
AC Meyer-Gerspach, R Peterli, M Moor, P Madörin, A Schötzau, D Nabers, ...
Obesity surgery 29 (9), 2795-2805, 2019
42019
Topological Autoencoders
M Moor, M Horn, B Rieck, K Borgwardt
arXiv preprint arXiv:1906.00722, 2019
42019
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
12020
Set Functions for Time Series
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
arXiv preprint arXiv:1909.12064, 2019
12019
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
12019
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
2020
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