Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).

Student Teachers ’ Knowledge of Congruence before a University Course on Geometry
M. Hoffmann, R. Biehler, in: M. Trigueros, B. Barquero, R. Hochmuth, J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), University of Hannover and INDRUM., Hannover, 2023.

HIEF: a holistic interpretability and explainability framework
J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.

Neural Class Expression Synthesis
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.

Variational Learning of Euler–Lagrange Dynamics from Data
S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.

Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features
H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.

TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs
U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.

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.

eJede*r von uns sieht die Situation eben unterschiedlich 3 das ist zwar eine Schwierigkeit, aber auch eine Bereicherungc
A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, B. Lütje-Klose, Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5 (2023).

Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept
N. Janicki, C. Tenberge, Australasian Journal of Technology Education 9 (2023).

mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks
S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.

Research Approaches on Workplace Learning
C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.

Agency: Taking Stock of Workplace Learning Research
M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.

AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development
J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.

Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods
T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.

Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern
N. Janicki, in: M. Binder, C. Wiesmüller, T. Finkbeiner (Eds.), Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , 2022, pp. 266–286.

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.

Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie
T.F. Auer, die hochschullehre 8 (2022) 662–675.

Process-Oriented Stream Classification Pipeline: A Literature Review
L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.

Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules
C. Burs, T. Gries, Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules,  Paderborn University, CIE Center for International Economics, 2022.