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1922 Publications
2023 | Conference Paper | LibreCat-ID: 35427 | 
F. Pauck, “Scaling Arbitrary Android App Analyses,” 2023, doi: 10.1145/3551349.3561339.
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2023 | Journal Article | LibreCat-ID: 37613 |
H. Peeters, S. Habig, and S. Fechner, “Does Augmented Reality Help to Understand Chemical Phenomena during Hands-On Experiments?–Implications for Cognitive Load and Learning,” Multimodal Technologies and Interaction, vol. 7, no. 2, Art. no. 9, 2023, doi: 10.3390/mti7020009.
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2023 | Dissertation | LibreCat-ID: 37645 |
A. B. Bauer, Experimentelle Kompetenz Physikstudierender. LibreCat University, 2023.
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2023 | Preprint | LibreCat-ID: 38031 |
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error bounds for kernel-based approximations of the Koopman operator,” arXiv:2301.08637. 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 36522 |
A. P. Shivarpatna Venkatesh, J. Wang, L. Li, and E. Bodden, “Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis,” presented at the IEEE SANER 2023 (International Conference on Software Analysis, Evolution and Reengineering), 2023, doi: 10.48550/ARXIV.2301.04419.
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2023 | Preprint | LibreCat-ID: 40171 |
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S. L. Brunton, and K. Taira, “Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning,” arXiv:2301.10737. 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 41874 |
J. Pfeiffer et al., “Algorithmic Fairness in AI,” Business & Information Systems Engineering, 2023, doi: 10.1007/s12599-023-00787-x.
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2023 | Newspaper Article | LibreCat-ID: 41948 |
J. Süßmann, “Zu »wahrer Glückseligkeit« anleiten. WWU-Gründervater Franz von Fürstenberg wollte vor allem den Fortbestand des Landes sichern – ein Gastbeitrag,” wissen/leben. Die Zeitung der WWU Münster, vol. 17/1, 2023.
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2023 | Journal Article | LibreCat-ID: 42154 |
M. Philipper, “New Quick And Easy Publication - Will be edited by LibreCat team,” Quick And Easy Journal Title, 2023.
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2023 | Preprint | LibreCat-ID: 42160 |
S. Werner and S. Peitz, “Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs,” arXiv:2302.07160. 2023.
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