D. Wolters and G. Engels, “Model-driven Design and Management of Professional Education Programmes,” in ICSOB’22 Companion Proceedings, 2022, vol. 3316.

M. S. Rossel and G. Meschut, “Increasing the Prediction Quality of Clinching Process Simulation with Extensible Die by Means of Friction Modeling as a Function of the Local Joining Process Parameters,” presented at the The 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes (NUMISHEET 2022), Toronto, 2022.

N. Freymuth, “Zum Einstieg: Master-Arbeit zu ökologischer und sozial gerechter Stadtplanung. Ein fiktives Beispiel,” in Wissenschaftsläden in der Sozialen Arbeit. Partizipative Forschung und soziale Innovationen, B. Benz, W. Schönig, A. L. Arp, K. Lutz, and J. Offergeld, Eds. Weinheim, Basel: Beltz Juventa, 2022, pp. 13–14.

T. Berger, D. Dennstädt, A. Ilchmann, and K. Worthmann, “Funnel MPC for nonlinear systems with relative degree one,” SIAM Journal on Control and Optimization, vol. 60, no. 6, pp. 3358–3383, 2022.

S. Vinoy et al., “Health relevance of lowering postprandial glycaemia in the paediatric population through diet’: results from a multistakeholder workshop,”10.1007/s00394-022-03047-y__European Journal of Nutrition, vol. 62, no. 3, pp. 1093–1107, 2022, doi:10.1007/s00394-022-03047-y .

A. M. Schadow et al., “The Effect of Regular Consumption of Reformulated Breads on Glycemic Control: A Systematic Review and Meta-Analysis of Randomized Clinical Trials,”10.1016/j.advnut.2022.10.008__Advances in Nutrition, vol. 14, no. 1, pp. 30–43, 2022, doi:10.1016/j.advnut.2022.10.008 .

A. Bondarenko et al., “CausalQA: A Benchmark for Causal Question Answering,” in Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 3296–3308.

I. Kletetzka and S. H. Klippstein, “Pulver im 3D-Druck - von Mascarabürsten bis zum Interieur eines Mini-Coopers (Vortrag),” presented at the 3D-DRUCK HAUTNAH - Der Einfluss einer Zukunftstechnologie auf unser Leben, Paderborn, 2022.

G. H. Philipo, J. N. Kakande, and S. Krauter, “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping,”10.3390/en15145215__Energies, vol. 15, no. 14, Art. no. 5215, 2022, doi:10.3390/en15145215 .

P. A. Hegarty, H. Beccard, L. M. Eng, and M. Rüsing, “Turn all the lights off: Bright- and dark-field second-harmonic microscopy to select contrast mechanisms for ferroelectric domain walls,”10.1063/5.0094988__Journal of Applied Physics, vol. 131, no. 24, 2022, doi:10.1063/5.0094988 .

R. Unruh, F. Schafmeister, and J. Böcker, “Zero-Sequence Voltage Reduces DC-Link Capacitor Demand in Cascaded H-Bridge Converters for Large-Scale Electrolyzers by 40%,” presented at the 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe), Hanover, Germany, 2022.

M. Gutfleisch, J. H. Klemmer, N. Busch, Y. Acar, M. A. Sasse, and S. Fahl, “How Does Usable Security (Not) End Up in Software Products? Results From a Qualitative Interview Study,”10.1109/SP46214.2022.9833756__in 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2022, pp. 893–910, doi:10.1109/SP46214.2022.9833756 .

C. Stransky, O. Wiese, V. Roth, Y. Acar, and S. Fahl, “Years and 81 Million Opportunities Later: Investigating the Use of Email Encryption for an Entire University,”10.1109/SP46214.2022.9833755__in 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2022, pp. 860–875, doi:10.1109/SP46214.2022.9833755 .

G. H. Philipo, J. N. Kakande, and S. Krauter, “Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping,”10.3390/en15145215__Energies, vol. 15, no. 14, Art. no. 5215, 2022, doi:10.3390/en15145215 .

L. Schneider, L. Schäpermeier, R. P. Prager, B. Bischl, H. Trautmann, and P. Kerschke, “HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis,”10.1007/978-3-031-14714-2_40__in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 575–589, doi:10.1007/978-3-031-14714-2_40 .

M. V. Seiler, R. P. Prager, P. Kerschke, and H. Trautmann, “A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes,”10.1145/3512290.3528834__in Proceedings of the Genetic and Evolutionary Computation Conference, 2022, pp. 657–665, doi:10.1145/3512290.3528834 .

R. P. Prager, M. V. Seiler, H. Trautmann, and P. Kerschke, “Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods,”10.1007/978-3-031-14714-2_1__in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 3–17, doi:10.1007/978-3-031-14714-2_1 .

J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,”10.1145/3520304.3528998__in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 356–359–356–359, doi:10.1145/3520304.3528998 .

P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, and C. Grimme, “The objective that freed me: a multi-objective local search approach for continuous single-objective optimization,”10.1007/s11047-022-09919-w__Natural Computing, vol. 1, pp. 1–15, 2022, doi:10.1007/s11047-022-09919-w .

J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann, “BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,” in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 192–206.