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Hanselle, J. M., Hüllermeier, E., Mohr, F., Ngonga Ngomo, A.-C., Sherif, M., Tornede, A., &; Wever, M. D. (2023). Configuration and Evaluation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 85–104). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068466 
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Haake, C.-J., Hehenkamp, B., &; Polevoy, G. (2023). The Market for Services: Incentives, Algorithms, Implementation. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 21–44). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068414 
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Wehrheim, H., Hüllermeier, E., Becker, S., Becker, M., Richter, C., &; Sharma, A. (2023). Composition Analysis in Unknown Contexts. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 105–123). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068510 
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Lienen, J., &; Hüllermeier, E. (2023). Mitigating Label Noise through Data Ambiguation. In arXiv:2305.13764.
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arXiv: 2305.13764

Elrich, A., Kaimann, D., Fahr, R., Kundisch, D., Mir Djawadi, B., Müller, M., Poniatowski, M., Schäfers, S., &; Frick, B. (2023). Empirical Analysis in Markets for OTF Services. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 45–64). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068430 
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Dieter, P., Stumpe, M., Ulmer, M. W., &; Schryen, G. (2023). Anticipatory Assignment of Passengers to Meeting Points for Taxi-Ridesharing. Transportation Research Part D, 121, Article 103832.
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Leineweber, J. (2023). Tagungsbericht: 10/20 Jahre UNESCO-Konvention zum Erhalt des Immateriellen Kulturerbes – Auftaktveranstaltung zum Doppeljubiläum. H-Soz-Kult.
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Janzen, T., Gabel, S., Gampert, M., Matz, F., &; Reckermann, J. (2023). Das DigitELE Tutorial: Eine digitale Lernumgebung in der Englischdidaktik. In L. Mrohs, M. Hess, K. Lindner, J. Schlüter, &; S. Overhage (Eds.), Digitalisierung in der Hochschullehre – Perspektiven und Gestaltungsoptionen (pp. 151–154). University of Bamberg Press.
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Meyer, M., Kenter, T., &; Plessl, C. (2023). Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems.https://doi.org/10.1145/3576200 
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Opdenhövel, J.-O., Plessl, C., &; Kenter, T. (2023). Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation. Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.https://doi.org/10.1145/3597031.3597050 
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Demir, C., &; Ngonga Ngomo, A.-C. (2023). Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras. ECML-PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.
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Demir, C., &; Ngonga Ngomo, A.-C. (2023). Neuro-Symbolic Class Expression Learning. International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence IJCAI 2023, Macau.
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Schade, R., Kenter, T., Elgabarty, H., Lass, M., Kühne, T., &; Plessl, C. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications, Article 109434202311776.https://doi.org/10.1177/10943420231177631 
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Tornede, A. (2023). Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.https://doi.org/10.17619/UNIPB/1-1780  
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Offen, C., &; Ober-Blöbaum, S. (2023). Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In F. Nielsen &; F. Barbaresco (Eds.), Geometric Science of Information (Vol. 14071, pp. 569–579). Springer, Cham.https://doi.org/10.1007/978-3-031-38271-0_57 
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arXiv: 2302.08232 

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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arXiv: 2112.12619

McLachlan, R., &; Offen, C. (2023). Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics, 15(1), 98–115.https://doi.org/10.3934/jgm.2023005 
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arXiv: 2201.03911

Dierkes, E., Offen, C., Ober-Blöbaum, S., &; Flaßkamp, K. (2023). Hamiltonian Neural Networks with Automatic Symmetry Detection. Chaos, 33(6), Article 063115.https://doi.org/10.1063/5.0142969 
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arXiv: 2301.07928

Sprenger, A. (2023). Testinstrumente und Testdatenanalyse zur Verarbeitung von Unsicherheiten in Logikblöcken hochintegrierter Schaltungen. Universität Paderborn.https://doi.org/10.17619/UNIPB/1-1787 
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