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Manuel Burger
Manuel Burger
PhD Student, ETH Zürich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
A comprehensive ML-based Respiratory Monitoring System for Physiological Monitoring & Resource Planning in the ICU
M Hüser, X Lyu, M Faltys, A Pace, M Hoche, SL Hyland, H Yèche, ...
medRxiv, 2024.01. 23.24301516, 2024
42024
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
R Kuznetsova, A Pace, M Burger, H Yèche, G Rätsch
Machine Learning for Health (ML4H), 268-291, 2023
12023
Multi-modal Graph Learning over UMLS Knowledge Graphs
M Burger, G Rätsch, R Kuznetsova
Machine Learning for Health (ML4H), 52-81, 2023
12023
Python FPGA Programming with Data-Centric Multi-Level Design
JF Licht, T De Matteis, T Ben-Nun, A Kuster, O Rausch, M Burger, ...
arXiv preprint arXiv:2212.13768, 2022
12022
DaCe-Data Centric Parallel Programming
T Ben-Nun, TD Matteis, O Rausch, C Johnsen, S Raje, A Kuster, ...
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States), 2019
12019
Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
F Baldenweg, M Burger, G Rätsch, R Kuznetsova
arXiv preprint arXiv:2403.18316, 2024
2024
Dynamic Survival Analysis for Early Event Prediction
H Yèche, M Burger, D Veshchezerova, G Rätsch
arXiv preprint arXiv:2403.12818, 2024
2024
FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
M Hoche, O Mineeva, M Burger, A Blasimme, G Rätsch
medRxiv, 2024.02. 08.24302458, 2024
2024
Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
K Kapuśniak, M Burger, G Rätsch, A Joudaki
arXiv preprint arXiv:2312.03865, 2023
2023
Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
S Jain, M Burger, G Rätsch, R Kuznetsova
arXiv preprint arXiv:2311.07180, 2023
2023
Language Model Training Paradigms for Clinical Feature Embeddings
Y Hu, M Burger, G Rätsch, R Kuznetsova
arXiv preprint arXiv:2311.00768, 2023
2023
Critique of “Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility” by SCC Team From ETH Zurich
M Burger, J Kleine
IEEE Transactions on Parallel and Distributed Systems 32 (11), 2627-2630, 2021
2021
DaCeML
O Rausch, T Ben-Nun, M Burger, S Li, A Ivanov, TD Matteis, L Ruckman
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States), 2020
2020
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