Model-driven Design and Management of Professional Education Programmes
D. Wolters, G. Engels, in: ICSOB’22 Companion Proceedings, CEUR, 2022.

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
M.S. Rossel, G. Meschut, in: 2022.

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

Funnel MPC for nonlinear systems with relative degree one
T. Berger, D. Dennstädt, A. Ilchmann, K. Worthmann, SIAM Journal on Control and Optimization 60 (2022) 3358–3383.

Health relevance of lowering postprandial glycaemia in the paediatric population through diet’: results from a multistakeholder workshop
S. Vinoy, J. Goletzke, M. Rakhshandehroo, L. Schweitzer, M. Flourakis, A. Körner, U. Alexy, E.M. van Schothorst, A. Ceriello, J.K. Zakrzewski-Fruer, A. Buyken, European Journal of Nutrition 62 (2022) 1093–1107.

The Effect of Regular Consumption of Reformulated Breads on Glycemic Control: A Systematic Review and Meta-Analysis of Randomized Clinical Trials
A.M. Schadow, I. Revheim, U. Spielau, J. Dierkes, L. Schwingshackl, J. Frank, J.M. Hodgson, A. Moreira-Rosário, C.J. Seal, A. Buyken, H. Rosendahl-Riise, Advances in Nutrition 14 (2022) 30–43.

CausalQA: A Benchmark for Causal Question Answering
A. Bondarenko, M. Wolska, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, B. Stein, P. Braslavski, M. Hagen, M. Potthast, in: Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 3296–3308.

Pulver im 3D-Druck - von Mascarabürsten bis zum Interieur eines Mini-Coopers (Vortrag)
I. Kletetzka, S.H. Klippstein, in: 3D-DRUCK HAUTNAH - Der Einfluss einer Zukunftstechnologie auf unser Leben , Universität Paderborn, 2022.

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).

Turn all the lights off: Bright- and dark-field second-harmonic microscopy to select contrast mechanisms for ferroelectric domain walls
P.A. Hegarty, H. Beccard, L.M. Eng, M. Rüsing, Journal of Applied Physics 131 (2022).

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

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

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

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping
G.H. Philipo, J.N. Kakande, S. Krauter, Energies 15 (2022).

HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis
L. Schneider, L. Schäpermeier, R.P. Prager, B. Bischl, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 575–589.

A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes
M.V. Seiler, R.P. Prager, P. Kerschke, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2022, pp. 657–665.

Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods
R.P. Prager, M.V. Seiler, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 3–17.

On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: J. Fieldsend, M. Wagner (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359–356–359.

The objective that freed me: a multi-objective local search approach for continuous single-objective optimization
P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, C. Grimme, Natural Computing 1 (2022) 1–15.

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022, pp. 192–206.