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5950 Publications
2023 | Book Chapter | LibreCat-ID: 45882 | 
Bäumer, F. S., Chen, W.-F., Geierhos, M., Kersting, J., & Wachsmuth, H. (2023). Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation. 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. 65–84). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068456
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2023 | Book Chapter | LibreCat-ID: 45884 |
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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2023 | Book Chapter | LibreCat-ID: 45878 |
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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2023 | Book Chapter | LibreCat-ID: 45886 |
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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2023 | Mastersthesis | LibreCat-ID: 45917
Raeisi Nafchi, M. (2023). Reconfigurable Random Forest Implementation on FPGA. Paderborn University.
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2023 | Mastersthesis | LibreCat-ID: 45916
Yadalam Murali Kumar, N. (2023). Data Analytics for Predictive Maintenance of Time Series Data. Paderborn University.
LibreCat
2023 | Conference Paper | LibreCat-ID: 34138
Bittel, L., Gharibian, S., & Kliesch, M. (2023). The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate. Proceedings of the 38th Computational Complexity Conference (CCC), 264(34), 34:1-34:24. https://doi.org/10.4230/LIPIcs.CCC.2023.34
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| DOI
| arXiv
2023 | Dissertation | LibreCat-ID: 45781
Pukrop, S. (2023). On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling. https://doi.org/10.17619/UNIPB/1-1768
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2023 | Bachelorsthesis | LibreCat-ID: 46053
Schneider, F. (2023). Utilizing Redundancy in Distributed Heterogeneous Storage.
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2023 | Mastersthesis | LibreCat-ID: 46087
Ranade, A. (2023). Graph Neural Network-based Anomaly Detection in Smart Grid Energy Consumption.
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2023 | Mastersthesis | LibreCat-ID: 46086
Ali, O. (2023). Highly accurate deep compressed facial recognition.
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2023 | Mastersthesis | LibreCat-ID: 46110
Ashri, N. (2023). Virtual On-Demand Volunteer System Based on Delaunay Triangulation.
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2023 | Journal Article | LibreCat-ID: 38041 |
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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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 | 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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| arXiv
2023 | Journal Article | LibreCat-ID: 23428 |
Nüske, F., Peitz, S., Philipp, F., Schaller, M., & Worthmann, K. (2023). Finite-data error bounds for Koopman-based prediction and control. Journal of Nonlinear Science, 33, Article 14. https://doi.org/10.1007/s00332-022-09862-1
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