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112 Publications
2025 | Book Chapter | LibreCat-ID: 58874
Fahrbach, M., Jenert, T., Fust, A., Bellwald, N., & Winkler, C. (2025). Fostering self-regulated entrepreneurial learning in entrepreneurship education. In Annals of Entrepreneurship Education and Pedagogy - 2025 (pp. 249–265). Edward Elgar Publishing. https://doi.org/10.4337/9781035325795.00021
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2025 | Journal Article | LibreCat-ID: 58885 | 
Zeller, J., & Riese, J. (2025). Competency Profiles of PCK Using Unsupervised Learning: What Implications for the Structures of pPCK Emerge From Non-Hierarchical Analyses? Journal of Research in Science Teaching. https://doi.org/10.1002/tea.70001
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2024 | Preprint | LibreCat-ID: 53793 |
Harder, H., & Peitz, S. (n.d.). Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.
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2024 | Conference Paper | LibreCat-ID: 54960
Zeller, J., & Riese, J. (2024). Fähigkeitsprofile im Physikdidaktischen Wissen mithilfe von Machine Learning. In H. van Vorst (Ed.), Frühe naturwissenschaftliche Bildung, Tagungsband der GDCP Jahrestagung 2023 (pp. 122–125). Gesellschaft für Didaktik der Chemie und Physik.
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2024 | Preprint | LibreCat-ID: 55159 |
Offen, C. (n.d.). Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification.
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| arXiv
2024 | Journal Article | LibreCat-ID: 55999 |
Baier, D., Krüger, A., Wagner, T., Tiemann, M., & Weinberger, C. (2024). Gas Sensing with Nanoporous In2O3 under Cyclic Optical Activation: Machine Learning-Aided Classification of H2 and H2O. Chemosensors, 12(9), 178. https://doi.org/10.3390/chemosensors12090178
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2024 | Conference Paper | LibreCat-ID: 56948
Zeller, J., & Riese, J. (n.d.). Assessment des physikdidaktischen Wissens mithilfe von Machine Learning. Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024. Entdecken, lehren und forschen im Schülerlabor. GDCP Jahrestagung 2024, Bochum.
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2024 | Conference Paper | LibreCat-ID: 56983
Qudus, U., Röder, M., Vollmers, D., & Ngonga Ngomo, A.-C. (2024). ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 9, 3994–3999. https://doi.org/10.1145/3627673.3679923
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2024 | Conference Paper | LibreCat-ID: 57240
Qudus, U., Röder, M., Tatkeu Pekarou, F. L., Morim da Silva, A. A., & Ngonga Ngomo, A.-C. (2024). FaVEL: Fact Validation Ensemble Learning. In M. Rospocher & Mehwish Alam (Eds.), EKAW 2024.
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2024 | Conference Paper | LibreCat-ID: 57895 |
Hoffmann, M., & Schlüter, S. (2024). How Do Advanced Pre-Service Teachers Develop Congruence Theorems for Quadrilaterals? 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.
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2023 | Conference Paper | LibreCat-ID: 45270 |
Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.
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2023 | Conference Paper | LibreCat-ID: 50479
Qudus, U., Röder, M., Kirrane, S., & Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. 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 (Vol. 14265, pp. 465–483). Springer, Cham. https://doi.org/10.1007/978-3-031-47240-4_25
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2023 | Conference Paper | LibreCat-ID: 52816
Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4
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2023 | Journal Article | LibreCat-ID: 49434
Schuldt, A., Palm, M., Neumann, P., Böhm-Kasper, O., Demmer, C., & Lütje-Klose, B. (2023). „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht, 5(4). https://doi.org/10.11576/DIMAWE-6699
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2023 | Journal Article | LibreCat-ID: 39976
Janicki, N., & Tenberge, C. (2023). Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. Australasian Journal of Technology Education, 9. https://doi.org/10.15663/ajte.v9.i0.103
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2023 | Conference Paper | LibreCat-ID: 31849 |
Hoffmann, M., & Biehler, R. (2023). Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. 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.
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2023 | Journal Article | LibreCat-ID: 45299
Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41. https://doi.org/10.1080/12460125.2023.2207268
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2023 | Conference Paper | LibreCat-ID: 33734 |
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. 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) (Vol. 13870, pp. 209–226). Springer International Publishing. https://doi.org/10.1007/978-3-031-33455-9_13
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2023 | Journal Article | LibreCat-ID: 29240 |
Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780. https://doi.org/10.1016/j.cam.2022.114780
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| DOI
| arXiv
2022 | Conference Paper | LibreCat-ID: 30236 |
Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.
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