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ORCIDMichael Krämer
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- affiliation: Volkswagen AG, Wolfsburg, Germany
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2020 – today
- 2024
[j1]Sebastian Daniel Boie, Falk Meyer-Eschenbach
, Fabian Schreiber, Niklas Giesa, Jon Barrenetxea, Camille Guinemer, Stefan Haufe, Michael Krämer, Peter Brunecker, Fabian Prasser, Felix Balzer:
A scalable approach for critical care data extraction and analysis in an academic medical center. Int. J. Medical Informatics 192: 105611 (2024)- [c3]Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias:
Critical feature learning in deep neural networks. ICML 2024 - 2023
- [i3]Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias:
A theory of data variability in Neural Network Bayesian inference. CoRR abs/2307.16695 (2023) - 2021
- [i2]Thorben Finke, Michael Krämer, Alessandro Morandini, Alexander Mück, Ivan Oleksiyuk:
Autoencoders for unsupervised anomaly detection in high energy physics. CoRR abs/2104.09051 (2021) - [i1]Felix Kahlhoefer, Michael Korsmeier, Michael Krämer, Silvia Manconi, Kathrin Nippel:
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks. CoRR abs/2107.12395 (2021)
2010 – 2019
- 2014
- [c2]Arthur Strasser, Benjamin Cool, Christoph Gernert, Christoph Knieke, Marco Körner, Dirk Niebuhr, Henrik Peters, Andreas Rausch, Oliver Brox, Stefanie Jauns-Seyfried, Hanno Jelden, Stefan Klie, Michael Krämer:
Mastering Erosion of Software Architecture in Automotive Software Product Lines. SOFSEM 2014: 491-502 - [c1]Henrik Peters, Christoph Knieke, Oliver Brox, Stefanie Jauns-Seyfried, Michael Krämer, Andreas Schulze:
A Test-Driven Approach for Model-Based Development of Powertrain Functions. XP 2014: 294-301
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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