Matthias Hüser

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 16

Top Topics

Patient Monitoring

Feature Hierarchies

Intensive Care Unit

Unsupervised Learning

Top Venues

Publications

Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states. CHIL (2021)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. ICML (2021)
Matthias Hüser, Martin Faltys, Xinrui Lyu, Chris Barber, Stephanie L. Hyland, Tobias M. Merz, Gunnar Rätsch
Early prediction of respiratory failure in the intensive care unit. CoRR (2021)
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
Neighborhood Contrastive Learning Applied to Online Patient Monitoring. CoRR (2021)
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. SPACA (2021)
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. NeurIPS Datasets and Benchmarks (2021)
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data. CoRR (2021)
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU. CoRR (2020)
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Thomas Gumbsch, Cristóbal Esteban, Christian Bock, Max Horn, Michael Moor, Bastian Rieck, Marc Zimmermann, Dean A. Bodenham, Karsten M. Borgwardt, Gunnar Rätsch, Tobias M. Merz
Machine learning for early prediction of circulatory failure in the intensive care unit. CoRR (2019)
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
SOM-VAE: Interpretable Discrete Representation Learning on Time Series. ICLR (Poster) (2019)
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi
Forecasting intracranial hypertension using multi-scale waveform metrics. CoRR (2019)
Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps. CoRR (2019)
Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch
Predicting circulatory system deterioration in intensive care unit patients. AIH@IJCAI (2018)
Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
Improving Clinical Predictions through Unsupervised Time Series Representation Learning. CoRR (2018)
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series. CoRR (2018)
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz
A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients. AMIA (2018)