Reconfigurable Random Forest Implementation on FPGA
M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, Paderborn University, 2023.
LibreCat: /record/45917

Data Analytics for Predictive Maintenance of Time Series Data
N. Yadalam Murali Kumar, Data Analytics for Predictive Maintenance of Time Series Data, Paderborn University, 2023.
LibreCat: /record/45916

The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate
L. Bittel, S. Gharibian, M. Kliesch, in: Proceedings of the 38th Computational Complexity Conference (CCC), 2023, p. 34:1-34:24.
LibreCat: /record/34138
DOI: 10.4230/LIPIcs.CCC.2023.34
arXiv: 2211.12519

On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.
LibreCat: /record/45781
DOI: 10.17619/UNIPB/1-1768 

Utilizing Redundancy in Distributed Heterogeneous Storage
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.
LibreCat: /record/46053

Graph Neural Network-based Anomaly Detection in  Smart Grid Energy Consumption
A. Ranade, Graph Neural Network-Based Anomaly Detection in  Smart Grid Energy Consumption, 2023.
LibreCat: /record/46087

Highly accurate deep compressed facial recognition
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.
LibreCat: /record/46086

Virtual On-Demand Volunteer System Based on Delaunay Triangulation
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.
LibreCat: /record/46110

Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks
M. Meyer, T. Kenter, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems (2023).
LibreCat: /record/38041
DOI: 10.1145/3576200

Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks
N. N., Improving the End-of-Line Test of Custom-Built Geared Motors Using Clustering Based on Neural Networks, 2023.
LibreCat: /record/46221

Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).
LibreCat: /record/46251

Computing and Compressing Electron Repulsion Integrals on FPGAs
X. Wu, T. Kenter, R. Schade, T. Kühne, C. Plessl, in: 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2023, pp. 162–173.
LibreCat: /record/43228
DOI: 10.1109/FCCM57271.2023.00026
arXiv: 2303.13632

Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics
R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, C. Plessl, The International Journal of High Performance Computing Applications (2023).
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions
A. Tornede, Advanced Algorithm Selection with Machine Learning: Handling Large Algorithm Sets, Learning From Censored Data, and Simplyfing Meta Level Decisions, 2023.
LibreCat: /record/45780
DOI: 10.17619/UNIPB/1-1780 

IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran
R.H. Gusmita, A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Natural Language Processing and Information Systems, Springer Nature Switzerland, Cham, 2023.
LibreCat: /record/46572
DOI: 10.1007/978-3-031-35320-8_12

Partial observations, coarse graining and equivariance in Koopman  operator theory for large-scale dynamical systems
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, ArXiv:2307.15325 (2023).
LibreCat: /record/46579
arXiv: 2307.15325

Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
LibreCat: /record/23428
DOI: 10.1007/s00332-022-09862-1

Multi-Objective Optimization for Sparse Deep Neural Network Training
S.S. Hotegni, S. Peitz, M.B. Berkemeier, ArXiv:2308.12243 (2023).
LibreCat: /record/46649
arXiv: 2308.12243

Efficient time stepping for numerical integration using reinforcement  learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) 9–5.
LibreCat: /record/21600
DOI: 10.1137/21M1412682
arXiv: arXiv:2104.03562

Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs
F.M. Schloots, Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs, Springer Fachmedien Wiesbaden, Wiesbaden, 2023.
LibreCat: /record/44719
DOI: 10.1007/978-3-658-40902-9