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2020 – today
- 2024
[j8]Tim Breitenbach, Shrikanth Malavalli Divakar, Lauritz Rasbach, Patrick Jahnke:
ML-driven risk estimation for memory failure in a data center environment with convolutional neural networks, self-supervised data labeling and distribution-based model drift determination. J. Parallel Distributed Comput. 185: 104800 (2024)- 2023
- [j7]Tim Breitenbach
, Bartosz Wilkusz, Lauritz Rasbach, Patrick Jahnke:
On a method for detecting periods and repeating patterns in time series data with autocorrelation and function approximation. Pattern Recognit. 138: 109355 (2023) - 2022
- [j6]Tim Breitenbach, Matthias Jürgen Schmitt, Thomas Dandekar:
Optimization of synthetic molecular reporters for a mesenchymal glioblastoma transcriptional program by integer programing. Bioinform. 38(17): 4162-4171 (2022) - [j5]Tim Breitenbach:
On the SQH method for solving optimal control problems with non-smooth state cost functionals or constraints. J. Comput. Appl. Math. 415: 114515 (2022) - [j4]Tim Breitenbach, Lauritz Rasbach, Chunguang Liang, Patrick Jahnke:
A principal feature analysis. J. Comput. Sci. 58: 101502 (2022) - 2020
- [j3]Tim Breitenbach, Alfio Borzì:
The Pontryagin maximum principle for solving Fokker-Planck optimal control problems. Comput. Optim. Appl. 76(2): 499-533 (2020) - [j2]Tim Breitenbach, Alfio Borzì:
A sequential quadratic Hamiltonian scheme for solving non-smooth quantum control problems with sparsity. J. Comput. Appl. Math. 369 (2020)
2010 – 2019
- 2019
- [j1]Tim Breitenbach, Chunguang Liang, Niklas Beyersdorf, Thomas Dandekar:
Analyzing pharmacological intervention points: A method to calculate external stimuli to switch between steady states in regulatory networks. PLoS Comput. Biol. 15(7) (2019)
Coauthor Index
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