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5711 Publications
2023 | Dissertation | LibreCat-ID: 45781
Pukrop S. On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling.; 2023. doi:10.17619/UNIPB/1-1768
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2023 | Bachelorsthesis | LibreCat-ID: 46053
Schneider F. Utilizing Redundancy in Distributed Heterogeneous Storage.; 2023.
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2023 | Mastersthesis | LibreCat-ID: 46087
Ranade A. Graph Neural Network-Based Anomaly Detection in Smart Grid Energy Consumption.; 2023.
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2023 | Mastersthesis | LibreCat-ID: 46086
Ali O. Highly Accurate Deep Compressed Facial Recognition.; 2023.
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2023 | Mastersthesis | LibreCat-ID: 46110
Ashri N. Virtual On-Demand Volunteer System Based on Delaunay Triangulation.; 2023.
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2023 | Journal Article | LibreCat-ID: 38041 | 
Meyer M, Kenter T, Plessl C. Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks. ACM Transactions on Reconfigurable Technology and Systems. Published online 2023. doi:10.1145/3576200
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2023 | Mastersthesis | LibreCat-ID: 46221
N. N. Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks.; 2023.
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2023 | Journal Article | LibreCat-ID: 46251 |
Demir C, Ngonga Ngomo A-C. Neuro-Symbolic Class Expression Learning. International Joint Conference on Artificial Intelligence. Published online 2023.
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2023 | Conference Paper | LibreCat-ID: 43228
Wu X, Kenter T, Schade R, Kühne T, Plessl C. Computing and Compressing Electron Repulsion Integrals on FPGAs. In: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). ; 2023:162-173. doi: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. Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. Published online 2023. doi:10.1177/10943420231177631
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2023 | Dissertation | LibreCat-ID: 45780 |
Tornede A. Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions.; 2023. doi:10.17619/UNIPB/1-1780
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2023 | Book Chapter | LibreCat-ID: 46572
Gusmita RH, Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran. In: Natural Language Processing and Information Systems. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-35320-8_12
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2023 | Conference Paper | LibreCat-ID: 46575 |
Baci A, Heindorf S. Accelerating Concept Learning via Sampling. In: CIKM. ; 2023.
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2023 | Preprint | LibreCat-ID: 46579 |
Peitz S, Harder H, Nüske F, Philipp F, Schaller M, Worthmann K. Partial observations, coarse graining and equivariance in Koopman operator theory for large-scale dynamical systems. arXiv:230715325. Published online 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 23428 |
Nüske F, Peitz S, Philipp F, Schaller M, Worthmann K. Finite-data error bounds for Koopman-based prediction and control. Journal of Nonlinear Science. 2023;33. doi:10.1007/s00332-022-09862-1
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2023 | Preprint | LibreCat-ID: 46649 |
Hotegni SS, Peitz S, Berkemeier MB. Multi-Objective Optimization for Sparse Deep Neural Network Training. arXiv:230812243. Published online 2023.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz M, Hüllermeier E, Lücke M, et al. Efficient time stepping for numerical integration using reinforcement learning. SIAM Journal on Scientific Computing. 2023;45(2):A579-A595. doi:10.1137/21M1412682
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| arXiv
2023 | Book | LibreCat-ID: 44719
Schloots FM. Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs. Springer Fachmedien Wiesbaden; 2023. doi:10.1007/978-3-658-40902-9
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2023 | Journal Article | LibreCat-ID: 46784 |
Wallscheid O, Peitz S, Stenner J, et al. ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. Journal of Open Source Software. 2023;8(89). doi:10.21105/joss.05616
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2023 | Journal Article | LibreCat-ID: 46186 |
Höper L, Schulte C. Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal. 2023;76(4):314-320.
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