Matthias Hüser

21 papers A* 1Misc 1Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
ImmunoPepper: extracting personalized peptides from complex splicing graphs.
Bioinform.
Laurie Prélot, Jiayu Chen, Matthias Hüser, André Kahles, Gunnar Rätsch
2025 J jnl
A machine learning approach for automating review of a RxNorm medication mapping pipeline output.
J. Biomed. Informatics
Matthias Hüser, John E. Doole, Vinicius Pinho, Hossein Rouhizadeh, Douglas Teodoro, Ahson Saiyed, Matvey B. Palchuk
2025 J jnl
RMS: a ML-based system for ICU respiratory monitoring and resource planning.
npj Digit. Medicine
Matthias Hüser, Xinrui Lyu, Martin Faltys, Alizée Pace, David Berger, Marine Hoche, Stephanie L. Hyland, Hugo Yèche, Manuel Burger, Tobias M. Merz, Gunnar Rätsch
2024 J jnl
An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit.
Bioinform.
Xinrui Lyu, Bowen Fan, Matthias Hüser, Philip Hartout, Thomas Gumbsch, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Karsten M. Borgwardt
2021 J jnl
Early prediction of respiratory failure in the intensive care unit.
CoRR
Matthias Hüser, Martin Faltys, Xinrui Lyu, Chris Barber, Stephanie L. Hyland, Tobias M. Merz, Gunnar Rätsch
2021 — conf
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data.
NeurIPS Datasets and Benchmarks
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2021 J jnl
HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data.
CoRR
Hugo Yèche, Rita Kuznetsova, Marc Zimmermann, Matthias Hüser, Xinrui Lyu, Martin Faltys, Gunnar Rätsch
2021 — —
Machine Learning Approaches for Patient Monitoring in the Intensive Care Unit.
Matthias Hüser
2021 A* conf
Neighborhood Contrastive Learning Applied to Online Patient Monitoring.
ICML
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2021 J jnl
Neighborhood Contrastive Learning Applied to Online Patient Monitoring.
CoRR
Hugo Yèche, Gideon Dresdner, Francesco Locatello, Matthias Hüser, Gunnar Rätsch
2021 — conf
T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states.
CHIL
Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin
2021 — conf
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU.
SPACA
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
2020 J jnl
WRSE - a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU.
CoRR
Jonathan Heitz, Joanna Ficek, Martin Faltys, Tobias M. Merz, Gunnar Rätsch, Matthias Hüser
2019 J jnl
Forecasting intracranial hypertension using multi-scale waveform metrics.
CoRR
Matthias Hüser, Adrian Kündig, Walter Karlen, Valeria De Luca, Martin Jaggi
2019 J jnl
Machine learning for early prediction of circulatory failure in the intensive care unit.
CoRR
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
2019 — conf
SOM-VAE: Interpretable Discrete Representation Learning on Time Series.
ICLR (Poster)
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
2019 J jnl
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps.
CoRR
Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin
2018 Misc conf
A Machine Learning-based Early Warning System for Circulatory System Deterioration in Intensive Care Unit Patients.
AMIA
Stephanie L. Hyland, Martin Faltys, Matthias Hüser, Xinrui Lyu, Cristóbal Esteban, Gunnar Rätsch, Tobias Merz
2018 J jnl
Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series.
CoRR
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch
2018 J jnl
Improving Clinical Predictions through Unsupervised Time Series Representation Learning.
CoRR
Xinrui Lyu, Matthias Hüser, Stephanie L. Hyland, George Zerveas, Gunnar Rätsch
2018 — conf
Predicting circulatory system deterioration in intensive care unit patients.
AIH@IJCAI
Stephanie L. Hyland, Matthias Hüser, Xinrui Lyu, Martin Faltys, Tobias Merz, Gunnar Rätsch