O. K. Aimiyekagbon, A. Bender, T. Hemsel, and W. Sextro, “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions,”10.3390/electronics13030521__Electronics, vol. 13, no. 3, Art. no. 521, 2024, doi:10.3390/electronics13030521 .
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H. Harder and S. Peitz, “Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines.” .
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N. Janicki and C. Tenberge, “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.
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M. Hoffmann and R. Biehler, “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry,” in Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), 2023.
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J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,”10.1080/12460125.2023.2207268__Journal of Decision Systems, pp. 1–41, 2023, doi:10.1080/12460125.2023.2207268 .
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N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,”https://doi.org/10.1007/978-3-031-33455-9_13__in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi:https://doi.org/10.1007/978-3-031-33455-9_13 .
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S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,”10.1016/j.cam.2022.114780__Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi:10.1016/j.cam.2022.114780 .
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arXiv: 2112.12619

H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023.
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U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,”10.1007/978-3-031-47240-4_25__in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi:10.1007/978-3-031-47240-4_25 .
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I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,”10.5162/smsi2023/d7.4__in Lectures, Nuremberg, 2023, pp. 253–524, doi:10.5162/smsi2023/d7.4 .
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