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Stefan Heyder
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2020 – today
- 2023
- [j4]Daniel Wolffram
, Sam Abbott
, Matthias an der Heiden, Sebastian Funk
, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert
, Melanie Schienle, Johannes Bracher
:
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. PLoS Comput. Biol. 19(8) (2023) - [j3]Elisabeth K. Brockhaus
, Daniel Wolffram
, Tanja Stadler
, Michael Osthege
, Tanmay Mitra
, Jonas M. Littek, Ekaterina A. Krymova
, Anna J. Klesen, Jana S. Huisman
, Stefan Heyder
, Laura Marie Helleckes
, Matthias an der Heiden, Sebastian Funk
, Sam Abbott
, Johannes Bracher
:
Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany. PLoS Comput. Biol. 19(11) (2023) - [c2]Yi Lin Yeo, Mehmet E. Kirlangic, Stefan Heyder, Eko Supriyanto, Maheza Irna Mohamad Salim, Patrique Fiedler
, Jens Haueisen:
Linear versus Quadratic Detrending in Analyzing Simultaneous Changes in DC-EEG and Transcutaneous pCO2. EMBC 2023: 1-4 - 2022
- [j2]Sara Grundel, Stefan Heyder, Thomas Hotz, Tobias K. S. Ritschel
, Philipp Sauerteig, Karl Worthmann
:
How Much Testing and Social Distancing is Required to Control COVID-19? Some Insight Based on an Age-Differentiated Compartmental Model. SIAM J. Control. Optim. 60(2): S145-S169 (2022) - 2021
- [j1]Sara Grundel, Stefan Heyder, Thomas Hotz, Tobias K. S. Ritschel
, Philipp Sauerteig, Karl Worthmann
:
How to Coordinate Vaccination and Social Distancing to Mitigate SARS-CoV-2 Outbreaks. SIAM J. Appl. Dyn. Syst. 20(2): 1135-1157 (2021) - 2020
- [c1]Nina Miolane
, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec
:
Introduction to Geometric Learning in Python with Geomstats. SciPy 2020: 48-57 - [i1]Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020)
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