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
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Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
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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.

Fähigkeitsprofile im Physikdidaktischen Wissen mithilfe von Machine Learning
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Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification
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Assessment des physikdidaktischen Wissens mithilfe von Machine Learning
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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.

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
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HIEF: a holistic interpretability and explainability framework
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Methodical approach for the design and dimensioning of mechanical clinched assemblies
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AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development
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Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods
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Process-Oriented Stream Classification Pipeline: A Literature Review
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Systematizing the lexicon of platforms in information systems: a data-driven study
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Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
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AutoML for Multi-Label Classification: Overview and Empirical Evaluation
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