Reconfigurable Random Forest Implementation on FPGA
M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA, Paderborn University, 2023.

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.

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.

Zur Darstellung der Afrikanischen Europäerin in Geschichte und Gegenwart - Sharon Dodua Otoos Roman 'Adas Raum'
I. Müller, in: I. Böker (Ed.), Interkulturelle Konstellationen in Literaturwissenschaft und Literaturdidaktik. Festschrift für Michael Hofmann, Königshausen &; Neumann, Würzburg , 2023, pp. 329–342.

On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling
S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling, 2023.

Utilizing Redundancy in Distributed Heterogeneous Storage
F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage, 2023.

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.

Highly accurate deep compressed facial recognition
O. Ali, Highly Accurate Deep Compressed Facial Recognition, 2023.

Politisches Graffiti
M. Papenbrock, D. Tophinke, eds., Politisches Graffiti, V&;R unipress, 2023.

Virtual On-Demand Volunteer System Based on Delaunay Triangulation
N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation, 2023.

Arm und ausgegrenzt. Kinderarmut in der Literatur und im lesenden Klassenzimmer.
I. Kruse, S. Terhorst, in: I. Kruse, J. Kanning (Eds.), eSo viel Größenwahn muss sein!”, 1st ed., kopaed, München, 2023, pp. 1553176.

"So viel Größenwahn muss sein!". Zur Einführung.
I. Kruse, J. Kanning, in: I. Kruse, J. Kanning (Eds.), So viel Größenwahn muss sein! Kinderliteratur, Schule und Gesellschaft. Zum Bildungsauftrag des Literaturunterrichts in der Grundschule., kopaed, München, 2023, pp. 7–12.

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).

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.

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

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.

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).

"Tankrabatt" und "Freiheitsenergie". Wie der Blog "neusprech.org" politische Euphemismen entlarvt
D. Tophinke, in: H. Feilke (Ed.), Zwischen Fake und Fakt, Friedrich Verlag, Hannover, 2023, pp. 42–47.

Annotation uncertainty in the context of grammatical change
M.-L. Merten, M. Wever, D. Tophinke, M. Geierhos, E. Hüllermeier, International Journal of Corpus Linguistics (2023).

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.