Messverfahren für die akustische Absorption zur Bestimmung der Volumenviskosität
L. Claes, Messverfahren Für Die Akustische Absorption Zur Bestimmung Der Volumenviskosität, Workshop “Messtechnische Anwendungen von Ultraschall”, Drübeck, 2022.

The k-Server with Preferences Problem
J. Castenow, B. Feldkord, T. Knollmann, M. Malatyali, F. Meyer auf der Heide, in: Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2022, pp. 345–356.

Anti-pattern Detection in Process-Driven Decision Support Systems
J. Kirchhoff, G. Engels, in: Software Business, Springer International Publishing, Cham, 2022, pp. 227--243.

Fair, Individually Rational and Cheap Adjustment
G. Polevoy, M. Dziubiski, in: L. De Raedt (Ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2022.

Cardinality Constrained Scheduling in Online Models
L. Epstein, A. Lassota, A. Levin, M. Maack, L. Rohwedder, in: P. Berenbrink, B. Monmege (Eds.), 39th International Symposium on Theoretical Aspects of Computer Science, STACS 2022, March 15-18, 2022, Marseille, France (Virtual Conference), Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p. 28:1–28:15.

The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments
M. Alshomary, R. El Baff, T. Gurcke, H. Wachsmuth, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 8782–8797.

"Mama Always Had a Way of Explaining Things So I Could Understand": A Dialogue Corpus for Learning How to Explain
H. Wachsmuth, M. Alshomary, in: Proceedings of the 29th International Conference on Computational Linguistics, 2022, pp. 344–354.

On the Role of Knowledge in  Computational Argumentation
A. Lauscher, H. Wachsmuth, I. Gurevych, G. Glavas, Transactions of the Association for Computational Linguistics (2022).

Identifying the Human Values behind Arguments
J. Kiesel, M. Alshomary, N. Handke, X. Cai, H. Wachsmuth, B. Stein, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022, pp. 4459–4471.

Domain-specific Language for Condition Monitoring Software Development
F. Pasic, M. Becker, in: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022.

No Word Embedding Model Is Perfect: Evaluating the Representation  Accuracy for Social Bias in the Media
M. Spliethöver, M. Keiff, H. Wachsmuth, in: Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Association for Computational Linguistics, 2022.

Schlieren imaging with fractional Fourier transform to visualise ultrasonic fields
T. Hetkämper, L. Claes, B. Henning, in: Sensoren Und Messsysteme - Beiträge Der 21. ITG/GMA-Fachtagung, VDE Verlag GmbH, Berlin, Offenbach, 2022.

Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning
M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022.

Overview of Touché 2022: Argument Retrieval
A. Bondarenko, M. Fröbe, J. Kiesel, S. Syed, T. Gurcke, M. Beloucif, A. Panchenko, C. Biemann, B. Stein, H. Wachsmuth, M. Potthast, M. Hagen, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2022.

The Structural Power of Reconfigurable Circuits in the Amoebot Model
A. Padalkin, C. Scheideler, D. Warner, in: T.E. Ouldridge, S.F.J. Wickham (Eds.), 28th International Conference on DNA Computing and Molecular Programming (DNA 28), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2022, p. 8:1–8:22.

Fault-Tolerant Shape Formation in the Amoebot Model
I. Kostitsyna, C. Scheideler, D. Warner, in: T.E. Ouldridge, S.F.J. Wickham (Eds.), 28th International Conference on DNA Computing and Molecular Programming (DNA 28), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2022, p. 9:1–9:22.

Static data-flow analysis for software product lines in C
P. Schubert, P. Gazzillo, Z. Patterson, J. Braha, F. Schiebel, B. Hermann, S. Wei, E. Bodden, Automated Software Engineering 29 (2022).

Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022.

Distributed gradient-based optimization in the presence of dependent  aperiodic communication
A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).