Castenow, J., Harbig, J., &; Meyer auf der Heide, F. (2023). Unifying Gathering Protocols for Swarms of Mobile Robots. In Lecture Notes in Computer Science. Springer International Publishing.https://doi.org/10.1007/978-3-031-30448-4_1 

Wolters, D., &; Engels, G. (n.d.). Model-driven Collaborative Design of Professional Education Programmes With Extended Online Whiteboards. MODELSWARD’23, 133–142.https://doi.org/10.5220/0011675700003402 

Pauck, F. (2023). Cooperative Android App Analysis. Paderborn University.https://doi.org/10.17619/UNIPB/1-1698 

Werthmann, J., Scheideler, C., Coy, S., Czumaj, A., &; Schneider, P. (2023). Routing Schemes for Hybrid Communication Networks.https://doi.org/10.48550/ARXIV.2210.05333 

Hemmrich, S., Bobolz, J., Beverungen, D., &; Blömer, J. (2023). Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain. ECIS 2023 Research Papers. ECIS 2023.

N., N. (2023). Development and Evaluation of a Model-Based UI Prototyping Experimentation Approach.

Karakaya, K., &; Bodden, E. (2023). Two Sparsification Strategies for Accelerating Demand-Driven Pointer Analysis. 2023 IEEE Conference on Software Testing, Verification and Validation (ICST).https://doi.org/10.1109/icst57152.2023.00036 

Koch, A. (2023). Privacy-Preserving Collection and Evaluation of Log Files.

Sherif, M. A., da Silva, A. A. M., Pestryakova, S., Ahmed, A. F., Niemann, S., &; Ngomo, A.-C. N. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti. Scientific Data, 10(1), Article 318.https://doi.org/10.1038/s41597-023-02199-8 

Castenow, J. (2023). Local Protocols for Contracting and Expanding Robot Formation Problems.https://doi.org/10.17619/UNIPB/1-1750 

Knollmann, T. (2023). Online Algorithms for Allocating Heterogeneous Resources.https://doi.org/10.17619/UNIPB/1-1751 

Hotegni, S. S., Mahabadi, S., &; Vakilian, A. (n.d.). Approximation Algorithms for Fair Range Clustering. Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023. International Conference on Machine Learning, Honolulu, Hawaii, USA.

Hebrok, S. N., Nachtigall, S., Maehren, M., Erinola, N., Merget, R., Somorovsky, J., &; Schwenk, J. (2023). We Really Need to Talk About Session Tickets: A Large-Scale Analysis of Cryptographic Dangers with TLS Session Tickets. 32nd USENIX Security Symposium.

Simon-Mertens, F. (2023). Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation.

Grigoryan, K., Fichtler, T., Schreiner, N., Rabe, M., Panzner, M., Kühn, A., Dumitrescu, R., &; Koldewey, C. (2023). Data-Driven Product Management: A Practitioner-Driven Research Agenda. Procedia CIRP 33. 33rd CIRP Design Conference, Sydney.

Özcan, L., Fichtler, T., Kasten, B., Koldewey, C., &; Dumitrescu, R. (2023). Interview Study on Strategy Options for Platform Operation in B Markets. ISPIM Innovation Conference, Ljubljana.

KOUAGOU, N. J., Heindorf, S., Demir, C., &; Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, &; S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing.https://doi.org/10.1007/978-3-031-33455-9_13 

Sieger, L. N., Heindorf, S., Blübaum, L., &; Ngonga Ngomo, A.-C. (2023). Counterfactual Explanations for Concepts in ELH. In arXiv:2301.05109.

Kersting, J. (2023). Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Universität der Bundeswehr München .

Götte, T., Knollmann, T., Meyer auf der Heide, F., Scheideler, C., &; Werthmann, J. (2023). Capabilities and Limitations of Local Strategies in Dynamic Networks. 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. 1--20). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8060372 

Karl, H., Maack, M., Meyer auf der Heide, F., Pukrop, S., &; Redder, A. (2023). On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers. 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. 183–202). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068664 

Blömer, J., Bobolz, J., Eidens, F., Jager, T., &; Kramer, P. (2023). Practical Cryptograhic Techniques for Secure and Privacy-Preserving Customer Loyalty Systems. 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. 237–246). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068755 

Gottschalk, S., Vorbohle, C., Kundisch, D., Engels, G., &; Wünderlich, N. V. (2023). Architectural Management of OTF Computing Markets. 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. 203–224). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068691 

Blömer, J., Eidens, F., Jager, T., Niehues, D., &; Scheideler, C. (2023). Robustness and Security. 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. 145–164). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068629 

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 

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 

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 

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 

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

Yadalam Murali Kumar, N. (2023). Data Analytics for Predictive Maintenance of Time Series Data. Paderborn University.

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 

Pukrop, S. (2023). On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling.https://doi.org/10.17619/UNIPB/1-1768  

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

Raeisi Nafchi, M. (2023). Reconfigurable Random Forest Implementation on FPGA.

Ranade, A. (2023). Graph Neural Network-based Anomaly Detection in  Smart Grid Energy Consumption.

Ali, O. (2023). Highly accurate deep compressed facial recognition.

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

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 

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 

N., N. (2023). Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks.

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.

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 

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 

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  

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 

Baci, A., &; Heindorf, S. (2023). Accelerating Concept Learning via Sampling. CIKM.

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.

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 

Hotegni, S. S., Peitz, S., &; Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.

Dellnitz, M., Hüllermeier, E., Lücke, M., Ober-Blöbaum, S., Offen, C., Peitz, S., &; Pfannschmidt, K. (2023). Efficient time stepping for numerical integration using reinforcement  learning. SIAM Journal on Scientific Computing, 45(2), 9–5.https://doi.org/10.1137/21M1412682