Michael Moor
Michael Moor
PhD Student, Machine Learning and Computational Biology Lab, ETH Zurich
Email confirmado em bsse.ethz.ch - Página inicial
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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
63*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
Proceedings of the International Conference on Learning Representations, 2019., 2018
472018
Topological Autoencoders
M Moor, M Horn, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 7045--7054, 2020
352020
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
34*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
202018
Set Functions for Time Series
M Horn, M Moor, C Bock, B Rieck, K Borgwardt
International Conference on Machine Learning (ICML), 4353-4363, 2020
192020
Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis
J Born, N Wiedemann, M Cossio, C Buhre, G Brändle, K Leidermann, ...
Applied Sciences 11 (2), 672, 2021
92021
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
82019
Early prediction of sepsis in the ICU using machine learning: a systematic review
M Moor, B Rieck, M Horn, CR Jutzeler, K Borgwardt
Frontiers in medicine 8, 348, 2021
42021
A Survey of Topological Machine Learning Methods
F Hensel, M Moor, B Rieck
Frontiers in Artificial Intelligence 4, 52, 2021
42021
Path Imputation Strategies for Signature Models
M Moor, M Horn, C Bock, K Borgwardt, B Rieck
ICML 2020 Workshop on the Art of Learning with Missing Values (Artemiss), 2020
42020
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
4*2020
Topological Graph Neural Networks
M Horn, E De Brouwer, M Moor, Y Moreau, B Rieck, K Borgwardt
arXiv preprint arXiv:2102.07835, 2021
12021
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
12020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Z Wu, Y Yang, Y Ma, Y Liu, R Zhao, M Moor, V Tresp
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-11, 2020
12020
Challenging Euclidean Topological Autoencoders
M Moor, M Horn, K Borgwardt, B Rieck
Topological Data Analysis and Beyond Workshop at NeurIPS 2020, 2020
12020
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
12020
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
M Moor, N Bennet, D Plecko, M Horn, B Rieck, N Meinshausen, ...
arXiv preprint arXiv:2107.05230, 2021
2021
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