S. Japs, F. Faheem, H. Anacker, S. Husung, and R. Dumitrescu, “Model-based Systems Engineering using Security Design Patterns in the Context of ISO/SAE 21434,”10.1017/pds.2023.268__Proceedings of the Design Society, vol. 3, pp. 2675–2684, 2023, doi:10.1017/pds.2023.268 .

S. von der Gracht, E. Nijholt, and B. Rink, “Higher order interactions lead to ‘reluctant’ synchrony breaking,” arXiv:2311.17186. 2023.

E. Kablo and P. Arias Cabarcos, “Privacy in the Age of Neurotechnology: Investigating Public Attitudes towards Brain Data Collection and Use,”10.1145/3576915.3623164__2023, doi:10.1145/3576915.3623164 .

A. Torres et al., “Runtime Verification of Crypto APIs: An Empirical Study,”10.1109/tse.2023.3301660__IEEE Transactions on Software Engineering, vol. 49, no. 10, pp. 4510–4525, 2023, doi:10.1109/tse.2023.3301660 .

G. Piskachev, M. Becker, and E. Bodden, “Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study,”10.1007/s10664-023-10354-3__Empirical Software Engineering, vol. 28, no. 5, Art. no. 118, 2023, doi:10.1007/s10664-023-10354-3 .

A. Nickel, Entwicklung und Analyse von Formeln zur Abschätzung der Renderingzeit eines Frames. 2023.

V. Telaprolu, Reconstruction of 3D Surfels from Neural Radiance Fields. 2023.

J. Friemel, Shape Reconfiguration by Hybrid Programmable Matter. 2023.

T. Seidenberg, J.-P. Disselkamp, C. Jürgenhake, A. Wicker, R. Dumitrescu, and E. Tolo, “TCO analysis of a modular and integral product architecture in shipbuilding,” 10.1109/ICE/ITMC58018.2023.10332277__presented at the IEEE Ice Conference 2023, Edingburgh, 2023, doi: 10.1109/ICE/ITMC58018.2023.10332277 .

J.-P. Disselkamp, T. Seidenberg, C. Jürgenhake, H. Anacker, and R. Dumitrescu, “Future production of ships – case study for modular high-speed ferries,” 10.1109/ICE/ITMC58018.2023.10332382__presented at the IEEE Ice Conference 2023, Edingburgh, 2023, doi: 10.1109/ICE/ITMC58018.2023.10332382 .

J. Klüners and J. Wang, “Idélic Approach in Enumerating Heisenberg Extensions,”10.1007/s44007-023-00067-w__La Matematica, 2023, doi:10.1007/s44007-023-00067-w .

J. Bossek, A. Neumann, and F. Neumann, “On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem,”10.1145/3583131.3590384__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 248–256, doi:10.1145/3583131.3590384 .

J. Bossek and D. Sudholt, “Runtime Analysis of Quality Diversity Algorithms,”10.1145/3583131.3590383__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 1546–1554, doi:10.1145/3583131.3590383 .

A. Marrero, E. Segredo, E. Hart, J. Bossek, and A. Neumann, “Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space,”10.1145/3583131.3590504__in Proceedings of the Genetic and Evolutionary Computation Conference, 2023, pp. 312–320, doi:10.1145/3583131.3590504 .

J. Bossek and D. Sudholt, “Do Additional Target Points Speed Up Evolutionary Algorithms?,”10.1016/j.tcs.2023.113757__Theoretical Computer Science, p. 113757, 2023, doi:10.1016/j.tcs.2023.113757 .

J. Bossek and C. Grimme, “On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem,”10.1162/evco_a_00335__Evolutionary Computation, pp. 1–35, 2023, doi:10.1162/evco_a_00335 .

S. Seitz, U. Häsel-Weide, Y. Wilke, and M. Wallner, “Expertise and professionalism for inclusive (mathematics) teaching and learning: reflections on findings from interdisciplinary professionalisation research,”https://doi.org/10.1080/13540602.2023.2284876 __Teachers and Teaching, pp. 1–16, 2023, doi:https://doi.org/10.1080/13540602.2023.2284876  .

T. Igamberdiev, D. N. L. Vu, F. Künnecke, Z. Yu, J. Holmer, and I. Habernal, “DP-NMT: Scalable Differentially-Private Machine Translation.” 2023.

L. Held and I. Habernal, “LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights.” 2023.

D. Jakobeit, M. Schenke, and O. Wallscheid, “Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes,”10.1109/tpel.2023.3256424__IEEE Transactions on Power Electronics, vol. 38, no. 7, pp. 8062–8074, 2023, doi:10.1109/tpel.2023.3256424 .