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arXiv: 2201.03911

Soyka, C., Ullrich, M., Striewe, M., &; Schaper, N. (2023). Comparison of Required Competences and Task Material in Modeling Education. Enterprise Modelling and Information Systems Architectures, 18, Article 7.https://doi.org/10.18417/EMISA.18.7 
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Schönhärl, K., Schotters, F., &; Thiemeyer, G. (2023). Editorial. Werkstatt Geschichte, 88.
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Reden über Geld. (2023). In K. Schönhärl, F. Schotters, &; G. Thiemeyer (Eds.), Werkstatt Geschichte (Vol. 88).
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Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., &; Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139.https://doi.org/10.1145/3594805.3607136 
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Götte, R.-S., &; Timmermann, J. (2023). Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF. IFAC-PapersOnLine, 56(2), 869–874.
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Bossek, J., &; Sudholt, D. (2023). Runtime Analysis of Quality Diversity Algorithms. Proceedings of the Genetic and Evolutionary Computation Conference, 1546–1554.https://doi.org/10.1145/3583131.3590383 
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Marrero, A., Segredo, E., Hart, E., Bossek, J., &; Neumann, A. (2023). Generating Diverse and Discriminatory Knapsack Instances by Searching for Novelty in Variable Dimensions of Feature-Space. Proceedings of the Genetic and Evolutionary Computation Conference, 312–320.https://doi.org/10.1145/3583131.3590504 
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Bossek, J., &; Sudholt, D. (2023). Do Additional Target Points Speed Up Evolutionary Algorithms? Theoretical Computer Science, 113757.https://doi.org/10.1016/j.tcs.2023.113757 
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Brennig, K., &; Müller, O. (2023). More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process Transparency. Hawaii International Conference on System Sciences.  56th Hawaii International Conference on System Sciences, Lhain.
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Khedkar, M. (n.d.). Static Analysis for Android GDPR Compliance Assurance. Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23).https://doi.org/10.1109/ICSE-Companion58688.2023.00054 
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arXiv: 2303.09606

Nachtigall, M., Schlichtig, M., &; Bodden, E. (2023). Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale. In Software Engineering 2023 (pp. 95–96). Gesellschaft für Informatik e.V.
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Schlichtig, M., Sassalla, S., Narasimhan, K., &; Bodden, E. (2023). Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In Software Engineering 2023 (pp. 105–106). Gesellschaft für Informatik e.V.
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Winkler, M. (2023). A quantitative strong parabolic maximum principle and application to a taxis-type migration–consumption model involving signal-dependent degenerate diffusion. Annales de l’Institut Henri Poincaré C, Analyse Non Linéaire.https://doi.org/10.4171/aihpc/73 
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Li, G., &; Winkler, M. (2023). Refined regularity analysis for a Keller-Segel-consumption system involving signal-dependent motilities. Applicable Analysis, 103(1), 45–64.https://doi.org/10.1080/00036811.2023.2173183 
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Ahn, J., &; Winkler, M. (2023). A critical exponent for blow-up in a two-dimensional chemotaxis-consumption system. Calculus of Variations and Partial Differential Equations, 62(6), Article 180.https://doi.org/10.1007/s00526-023-02523-5 
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Tao, Y., &; Winkler, M. (2023). Analysis of a chemotaxis-SIS epidemic model with unbounded infection force. Nonlinear Analysis: Real World Applications, 71, Article 103820.https://doi.org/10.1016/j.nonrwa.2022.103820 
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Winkler, M. (2023). Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity. Journal of Elliptic and Parabolic Equations, 9(2), 919–959.https://doi.org/10.1007/s41808-023-00230-y 
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Winkler, M., &; Yokota, T. (2023). Avoiding critical mass phenomena by arbitrarily mild saturation of cross-diffusive fluxes in two-dimensional Keller-Segel-Navier-Stokes systems. Journal of Differential Equations, 374, 1–28.https://doi.org/10.1016/j.jde.2023.07.029 
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Winkler, M. (2023). Absence of collapse into persistent Dirac-type singularities in a Keller-Segel-Navier-Stokes system involving local sensing. Advances in Differential Equations, 28(11/12).https://doi.org/10.57262/ade028-1112-921 
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