Predicting the Bond Quality of Heavy Copper Wire Bonds using a Friction Model Approach
S. Althoff, Predicting the Bond Quality of Heavy Copper Wire Bonds Using a Friction Model Approach, Shaker, 2023.

Who benefits from quality competition in health care? A theory and a laboratory experiment on the relevance of patient characteristics
J. Brosig-Koch, B. Hehenkamp, J. Kokot, Health Economics (2023).

Price Regulation, Quality Competition and Location Choice with Costly Relocation
B. Hehenkamp, O.M. Kaarbøe, Price Regulation, Quality Competition and Location Choice with Costly Relocation, n.d.

Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices
P. Arias-Cabarcos, M. Fallahi, T. Habrich, K. Schulze, C. Becker, T. Strufe, ACM Transactions on Privacy and Security 26 (2023) 1–36.

Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning
F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14.

Runtime Analysis of Quality Diversity Algorithms
J. Bossek, D. Sudholt, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2023, pp. 1546–1554.

Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing
I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.

Computation on Encrypted Data Using Dataflow Authentication
A. Fischer, B. Fuhry, J. Kußmaul, J. Janneck, F. Kerschbaum, E. Bodden, ACM Transactions on Privacy and Security 25 (2022) 1–36.

Exploring the Feature Space of TSP Instances Using Quality Diversity
J. Bossek, F. Neumann, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2022, pp. 186–194.

Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem
A. Nikfarjam, A. Neumann, J. Bossek, F. Neumann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tu\'76 sar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 237–249.