Tornede, Alexander. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.https://doi.org/10.17619/UNIPB/1-1780  .

Gräßler, Iris, and Daniel Preuß. “Automatisierte Abhängigkeitsanalyse von Anforderungen Zur Wirkkettenmodellierung.” In Stuttgarter Symposium Für Produktentwicklung SSP 2023, edited by Katharina Hölzle, Matthias Kreimeyer, Daniel Roth, Thomas Maier, and Oliver Riedel. Stuttgart: Fraunhofer IAO, 2023.

Offen, Christian, and Sina Ober-Blöbaum. “Learning Discrete Lagrangians for Variational PDEs from Data and Detection of Travelling Waves.”https://doi.org/10.1007/978-3-031-38271-0_57__In Geometric Science of Information, edited by F Nielsen and F Barbaresco, 14071:569–79. Lecture Notes in Computer Science (LNCS). Springer, Cham., 2023.https://doi.org/10.1007/978-3-031-38271-0_57 .

Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.”https://doi.org/10.1016/j.cam.2022.114780__Journal of Computational and Applied Mathematics 421 (2023): 114780.https://doi.org/10.1016/j.cam.2022.114780 .

Dierkes, Eva, Christian Offen, Sina Ober-Blöbaum, and Kathrin Flaßkamp. “Hamiltonian Neural Networks with Automatic Symmetry Detection.”https://doi.org/10.1063/5.0142969__Chaos 33, no. 6 (2023).https://doi.org/10.1063/5.0142969 .

Zahera, Hamada Mohamed Abdelsamee, Fedor Vitiugin, Mohamed Sherif, Carlos Castillo, and Axel-Cyrille Ngonga Ngomo. “Using Pre-Trained Language Models for Abstractive DBpedia Summarization: A Comparative Study.” In SEMANTiCS, 2023.

Greiff, Christian , David Mateos-Núñez, Renato Simoni, Maria González-Huici, Stephan Kruse, J. Christoph Scheytt, Karl Kolk, et al. “Calibration of Large Coherent MIMO Radar Arrays: Channel Imbalances and 3D Antenna Positions.”https://doi.org/10.23919/IRS57608.2023.10172475__In 2023 24th International Radar Symposium (IRS). IEEE, 2023.https://doi.org/10.23919/IRS57608.2023.10172475 .

Vöing, Nerea, Maik Arnold, and Sabine Reisas. Lehrentwicklung durch Scholarship of Teaching and Learning – mit SoTL Hochschullehre beforschen, weiterentwickeln und teilen. e-teaching.org, 2023.

Arnold, Maik, Nerea Vöing, and Sabine Reisas. “Scholarship of Teaching and Learning (SoTL) Als Motor Für Eine Inter- Und Transdisziplinäre Hochschuldidaktik.”https://doi.org/10.14361/9783839461808-022__In Hochschulbildung: Lehre Und Forschung. Bielefeld, Germany: transcript Verlag, 2023.https://doi.org/10.14361/9783839461808-022 .

Hotegni, Sedjro Salomon, Sebastian Peitz, and Manuel Bastian Berkemeier. “Multi-Objective Optimization for Sparse Deep Neural Network Training.” ArXiv:2308.12243, 2023.

Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.”https://doi.org/10.1137/21M1412682__SIAM Journal on Scientific Computing 45, no. 2 (2023): 9–95.https://doi.org/10.1137/21M1412682 .

Arnold, Maik, Nerea Vöing, and Sabine Reisas. “Scholarship of Teaching and Learning (SoTL) Als Motor Für Eine Inter- Und Transdisziplinäre Hochschuldidaktik.”https://doi.org/10.14361/9783839461808-022__In Hochschulbildung: Lehre Und Forschung. Bielefeld, Germany: transcript Verlag, 2023.https://doi.org/10.14361/9783839461808-022 .

Rossel, M., and G. Meschut. “Modeling and Parameterization for a 3D Simulation of Clinching with an Extensible Die.”https://doi.org/10.1007/978-3-031-41341-4_9__In Lecture Notes in Mechanical Engineering. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-41341-4_9 .

Reeschke, Rebecca, Franziska Katharina Haase, Lena Dautzenberg, Werner Krutsch, and Claus Reinsberger. “Training Matters: Heading Incidence and Characteristics in Children’s and Youth Football (Soccer) Players.”https://doi.org/10.1111/sms.14408__Scandinavian Journal of Medicine &; Science in Sports 33, no. 9 (2023): 1821–30.https://doi.org/10.1111/sms.14408 .

Yigitbas, Enes, Maximilian Schmidt, Antonio Bucchiarone, Sebastian Gottschalk, and Gregor Engels. “GaMoVR: Gamification-Based UML Learning Environment in Virtual Reality.” Science of Computer Programming, 2023.

Soyka, Chantal, Meike Ullrich, Michael Striewe, and Niclas Schaper. “Comparison of Required Competences and Task Material in Modeling Education.”https://doi.org/10.18417/EMISA.18.7__Enterprise Modelling and Information Systems Architectures 18 (2023).https://doi.org/10.18417/EMISA.18.7 .

Ott, Manuel, Niclas Meihöfener, and Iryna Mozgova. “Methodical Approach to Reducing Design Time by Using Neural Networks in Early Stages of Concept Development.” In Proceedings of the 34rd Annual International Solid Freeform Fabrication Symposium 2023, edited by Manuel Ott. Austin, Texas, United States, 2023.

Margraf, Linda, Daniel Krause, and Matthias Weigelt. “Frontal Theta Reveals Further Information about Neural Valencedependent Processing of Augmented Feedback in Extensive Motor Practice - A Secondary Analysis.”https://doi.org/10.1111/ejn.15951__European Journal of Neuroscience 57, no. 8 (2023): 1297–1316.https://doi.org/10.1111/ejn.15951 .

Weigelt, Matthias, Daniel Krause, and Iris Güldenpenning. “Learning and Memory in Sports.”https://doi.org/10.1007/978-3-031-03921-8_3__In Sport and Exercise Psychology, edited by J. Schüler, M. Wegner, H. Plessner, and R. C.https://doi.org/10.1007/978-3-031-03921-8_3__Eklund, 41–70. Champaign: Springer, 2023.https://doi.org/10.1007/978-3-031-03921-8_3 .

Jonas-Ahrend, Gabriela, Pamela Fraser-Abder, Marika Kapanadze, Fadeel Joubran, and Alexander Mazzolini. “Lessons Learned from a Global Review Study of Physics Textbook Evaluation and Its Implications for Teaching and Learning in the Classroom,” 2023.