Transient dynamic analysis: Performance evaluation of tactile measurement
G. Reschke, A. Brosius, in: Materials Research Proceedings, Materials Research Forum LLC, 2025, pp. 293–300.

Efficient failure information propagation under complex stress states in fiber reinforced polymers: From micro- to meso-scale using machine learning
J. Gerritzen, A. Hornig, M. Gude, in: G. Meschut, M. Bobbert, J. Duflou, L. Fratini, H. Hagenah, P. Martins, M. Merklein, F. Micari (Eds.), Sheet Metal 2025, Materials Research Forum LLC, Materials Research Foundations, 2025, pp. 260–267.

Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses?
J. Zeller, J. Riese, Journal of Research in Science Teaching (2025).

Bridging the gap between data-driven and theory-driven modelling – leveraging causal machine learning for integrative modelling of dynamical systems
D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.

The power of combined modalities in interactive robot learning
H. Beierling, R. Beierling, A.-L. Vollmer, Frontiers in Robotics and AI 12 (2025).

Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
K. Baraka, I. Idrees, T.K. Faulkner, E. Biyik, S. Booth, M. Chetouani, D.H. Grollman, A. Saran, E. Senft, S. Tulli, A.-L. Vollmer, A. Andriella, H. Beierling, T. Horter, J. Kober, I. Sheidlower, M.E. Taylor, S. van Waveren, X. Xiao, Transactions on Human-Robot Interaction (n.d.).

Tree-Based OWL Class Expression Learner over Large Graphs
C. Demir, M. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Parameter Averaging in Link Prediction
R. Sapkota, C. Demir, A. Sharma, A.-C. Ngonga Ngomo, in: Proceedings of the Thirteenth International Conference on Knowledge Capture(K-CAP 2025), ACM, Dayton, OH, USA, 2025.

Fostering self-regulated entrepreneurial learning in entrepreneurship education
M. Fahrbach, T. Jenert, A. Fust, N. Bellwald, C. Winkler, in: Annals of Entrepreneurship Education and Pedagogy - 2025, Edward Elgar Publishing, 2025, pp. 249–265.

HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores
W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid, IEEE Transactions on Power Electronics 40 (2025) 3326–3335.

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

Fähigkeitsprofile im Physikdidaktischen Wissen mithilfe von Machine Learning
J. Zeller, J. Riese, in: H. van Vorst (Ed.), Frühe naturwissenschaftliche Bildung, Tagungsband der GDCP Jahrestagung 2023, Gesellschaft für Didaktik der Chemie und Physik, Hamburg, 2024, pp. 122–125.

Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification
C. Offen, (n.d.).

Assessment des physikdidaktischen Wissens mithilfe von Machine Learning
J. Zeller, J. Riese, in: Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024, n.d.

Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning
J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.

How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals?
M. Hoffmann, S. Schlüter, in: A.S. González-Martín, G. Gueudet, I. Florensa, N. Lombard (Eds.), Proceedings of the Fifth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2024, 10-14 June 2024), Escola Univerist`aria Salesiana de Sarri`a – Univ. Aut`onoma de Barcelona and INDRUM, Barcelona, 2024.

ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification
U. Qudus, M. Röder, D. Vollmers, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, 2024, pp. 3994–3999.

FaVEL: Fact Validation Ensemble Learning
U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.

A Paradigm to Investigate Social Signals of Understanding and Their Susceptibility to Stress
J. Paletschek, in: 12th International Conference on  Affective Computing &; Intelligent Interaction, IEEE, 2024.

Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of  and O
D. Baier, A. Krüger, T. Wagner, M. Tiemann, C. Weinberger, Chemosensors 12 (2024) 178.