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5676 Publications
2023 | Book Chapter | LibreCat-ID: 45893 | 
Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., & Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. 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. 165–182). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068642
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2023 | Conference Paper | LibreCat-ID: 46190 |
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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2023 | Mastersthesis | LibreCat-ID: 46221
N., N. (2023). Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks.
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2023 | Journal Article | LibreCat-ID: 46251 |
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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2023 | Conference Paper | LibreCat-ID: 43228
Wu, X., Kenter, T., Schade, R., Kühne, T., & Plessl, C. (2023). Computing and Compressing Electron Repulsion Integrals on FPGAs. 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 162–173. https://doi.org/10.1109/FCCM57271.2023.00026
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| arXiv
2023 | Journal Article | LibreCat-ID: 45361 |
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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2023 | Dissertation | LibreCat-ID: 45780 |
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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2023 | Book Chapter | LibreCat-ID: 46572
Gusmita, R. H., Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2023). IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In Natural Language Processing and Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB) 2023, Derby, UK. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-35320-8_12
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2023 | Conference Paper | LibreCat-ID: 46575 |
Baci, A., & Heindorf, S. (2023). Accelerating Concept Learning via Sampling. CIKM.
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2023 | Preprint | LibreCat-ID: 46579 |
Peitz, S., Harder, H., Nüske, F., Philipp, F., Schaller, M., & Worthmann, K. (2023). Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. In arXiv:2307.15325.
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