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5673 Publications
2023 | Book Chapter | LibreCat-ID: 45893 | 
Hansmeier, T., Kenter, T., Meyer, M., Riebler, H., Platzner, M., & Plessl, C. (2023). Compute Centers I: Heterogeneous Execution Environments. 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. 165–182). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068642
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2023 | Conference Paper | LibreCat-ID: 46190 |
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
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2023 | Preprint | LibreCat-ID: 46229
Lienen, C., Nowosad, A. P., & Platzner, M. (n.d.). Mapping and Optimizing Communication in ROS 2-based Applications on Configurable System-on-Chip Platforms.
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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 | Conference Paper | LibreCat-ID: 45913
Clausing, L., Guetattfi, Z., Kaufmann, P., Lienen, C., & Platzner, M. (2023). On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconOS64. Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC).
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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 | Book Chapter | LibreCat-ID: 46572
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
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2023 | Conference Paper | LibreCat-ID: 46575 |
Baci, A., & Heindorf, S. (2023). Accelerating Concept Learning via Sampling. CIKM.
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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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2023 | Preprint | LibreCat-ID: 46649 |
Hotegni, S. S., Peitz, S., & Berkemeier, M. B. (2023). Multi-Objective Optimization for Sparse Deep Neural Network Training. In arXiv:2308.12243.
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
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), A579–A595. https://doi.org/10.1137/21M1412682
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| arXiv
2023 | Book | LibreCat-ID: 45863 |
Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
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2023 | Book | LibreCat-ID: 44719
Schloots, F. M. (2023). Mit dem Leben Schritt halten - Eine Analyse des Wearable-Dispositivs. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-40902-9
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2023 | Journal Article | LibreCat-ID: 46784 |
Wallscheid, O., Peitz, S., Stenner, J., Weber, D., Boshoff, S., Meyer, M., Chidananda, V., & Schweins, O. (2023). ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids. Journal of Open Source Software, 8(89), Article 5616. https://doi.org/10.21105/joss.05616
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2023 | Journal Article | LibreCat-ID: 46186 |
Höper, L., & Schulte, C. (2023). Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht. MNU journal, 76(4), 314–320.
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2023 | Conference Paper | LibreCat-ID: 35014 |
Blömer, J., Bobolz, J., & Bröcher, H. (2023). On the impossibility of surviving (iterated) deletion of weakly dominated strategies in rational MPC. TCC 2023, Taipeh, Taiwan.
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2023 | Conference Paper | LibreCat-ID: 43458 |
Blömer, J., Bobolz, J., & Porzenheim, L. A. (2023). A Generic Construction of an Anonymous Reputation System and Instantiations from Lattices. Asiacrypt 2023, Guangzhou, China.
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2023 | Conference Paper | LibreCat-ID: 47050
Wecker, D., & Yigitbas, E. (2023). Minimizing Eye Movements and Distractions in Head-Mounted Augmented Reality through Eye-Gaze Adaptiveness. Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023).
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2023 | Journal Article | LibreCat-ID: 47051
Yigitbas, E., Schmidt, M., Bucchiarone, A., Gottschalk, S., & Engels, G. (2023). GaMoVR: Gamification-Based UML Learning Environment in Virtual Reality. Science of Computer Programming.
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2023 | Conference Paper | LibreCat-ID: 47057
Schmidt, L., & Yigitbas, E. (2023). Transitional Cross Reality Interfaces for Spatially Demanding Search and Collect Tasks . Proceedings of the 27th International Workshop on Personalization and Recommendation.
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2023 | Conference Paper | LibreCat-ID: 47055
Neumayr, T., Yigitbas, E., Augstein, M., & Herder, E. (2023). ABIS 2023 – 27th International Workshop on Personalization and Recommendation. Proceedings of the Mensch & Computer (2023).
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2023 | Journal Article | LibreCat-ID: 47151
Winkelnkemper, F., Höper, L., & Schulte, C. (2023). ARIadne – An Explanation Model for Digital Artefacts. Informatics in Education. https://doi.org/10.15388/infedu.2024.09
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2023 | Conference Paper | LibreCat-ID: 47150
Yigitbas, E., Witalinski, I., Gottschalk, S., & Engels, G. (2023). Virtual Reality Collaboration Platform for Agile Software Development. Proceedings of the 24th International Conference on Product-Focused Software Process Improvement (PROFES 2023).
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2023 | Conference Paper | LibreCat-ID: 46813 |
Wohlleben, M. C., Muth, L., Peitz, S., & Sextro, W. (2023). Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits. Proceedings in Applied Mathematics and Mechanics. https://doi.org/10.1002/pamm.202300039
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2023 | Journal Article | LibreCat-ID: 47420
Kürpick, C., Rasor, A., Scholtysik, M., Kühn, A., Koldewey, C., & Dumitrescu, R. (2023). An Integrative View of the Transformations towards Sustainability and Digitalization: The Case for a Dual Transformation. Procedia CIRP, 119, 614–619. https://doi.org/10.1016/j.procir.2023.02.155
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2023 | Book (Editor) | LibreCat-ID: 47547
Kalenborn, A., Fazal-Baqaie, M., Linssen, O., Volland, A., Yigitbas, E., Engstler, M., & Bertram, M. (Eds.). (2023). Projektmanagement Und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte: Vol. Vol. P340. Gesellschaft für Informatik e.V.
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2023 | Journal Article | LibreCat-ID: 47800
Wilke, D., Grothe, R., Bretz, L., Anacker, H., & Dumitrescu, R. (2023). Lessons Learned from the Introduction of Systems Engineering. Systems, 11(3), Article 119. https://doi.org/10.3390/systems11030119
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2023 | Journal Article | LibreCat-ID: 47798
Gabriel, S., Bentler, D., Bansmann, M., Andrew Latos, B., Kühn, A., & Dumitrescu, R. (2023). Soziotechnische Gestaltung einer intelligenten Personaleinsatzplanung. Zeitschrift Für Wirtschaftlichen Fabrikbetrieb, 118(1–2), 64–68. https://doi.org/10.1515/zwf-2023-1009
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2023 | Book Chapter | LibreCat-ID: 47797
Menzefricke, J. S., Gabriel, S., Gundlach, T., Hobscheidt, D., Kürpick, C., Schnasse, F., Scholtysik, M., Seif, H., Koldewey, C., & Dumitrescu, R. (2023). Soziotechnisches Risikomanagement als Erfolgsfaktor für die Digitale Transformation. In Schwerpunkt Business Model Innovation. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-36634-6_14
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2023 | Conference Paper | LibreCat-ID: 47799
Bentler, D., Gabriel, S., Latos, B. A., Dietrich, O., Dumitrescu, R., & Maier, G. W. (2023). Partizipatives Gestaltungsvorgehen bei der Einführung künstlicher Intelligenz in produzierenden Unternehmen. GfA-Frühjahrskongress 2023.
LibreCat
2023 | Journal Article | LibreCat-ID: 47827
Weller, J., Roesmann, D., Eggert, S., von Enzberg, S., Gräßler, I., & Dumitrescu, R. (2023). Identification and prediction of standard times in machining for precision steel tubes through the usage of data analytics. Procedia CIRP, 119, 514–520. https://doi.org/10.1016/j.procir.2023.01.011
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| DOI
2023 | Journal Article | LibreCat-ID: 47822
Machon, F., Gabriel, S., Latos, B., Holtkötter, C., Lütkehoff, B., Asmar, L., Kühn, A., & Dumitrescu, R. (2023). Design of individual simulation games in manufacturing companies for game-based learning. Procedia CIRP, 119, 1017–1022. https://doi.org/10.1016/j.procir.2023.03.145
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2023 | Journal Article | LibreCat-ID: 47824
Brock, J., von Enzberg, S., Kühn, A., & Dumitrescu, R. (2023). Process Mining Data Canvas: A method to identify data and process knowledge for data collection and preparation in process mining projects. Procedia CIRP, 119, 602–607. https://doi.org/10.1016/j.procir.2023.03.114
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2023 | Journal Article | LibreCat-ID: 47826
Wilke, D., Schierbaum, A., Anacker, H., & Dumitrescu, R. (2023). Targeted-oriented selection of engineering methods. Procedia CIRP, 119, 788–793. https://doi.org/10.1016/j.procir.2023.02.166
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2023 | Dissertation | LibreCat-ID: 47833
König, J. (2023). On the Membership and Correctness Problem for State Serializability and Value Opacity.
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2023 | Dissertation | LibreCat-ID: 47837
Hansmeier, T. (2023). XCS for Self-awareness in Autonomous Computing Systems.
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2023 | Conference Paper | LibreCat-ID: 32407
Gharibian, S., Hayakawa, R., Gall, F. L., & Morimae, T. (2023). Improved Hardness Results for the Guided Local Hamiltonian Problem. Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 261(32), 1–19. https://doi.org/10.4230/LIPIcs.ICALP.2023.32
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| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 48051
Humpert, L., Wäschle, M., Horstmeyer, S., Anacker, H., Dumitrescu, R., & Albers, A. (2023). Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP, 119, 693–698. https://doi.org/10.1016/j.procir.2023.02.160
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp. 411–425). Springer Nature Switzerland.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, L., Kerschke, P., Grimme, C., & Trautmann, H. (2023). Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K. Miettinen, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization (pp. 291–304). Springer Nature Switzerland.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager, R. P., & Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 1–25. https://doi.org/10.1162/evco_a_00341
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| DOI
2023 | Conference Paper | LibreCat-ID: 48289
Habernal, I., Mireshghallah, F., Thaine, P., Ghanavati, S., & Feyisetan, O. (2023). Privacy-Preserving Natural Language Processing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. https://doi.org/10.18653/v1/2023.eacl-tutorials.6
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2023 | Conference Paper | LibreCat-ID: 48288
Matzken, C., Eger, S., & Habernal, I. (2023). Trade-Offs Between Fairness and Privacy in Language Modeling. Findings of the Association for Computational Linguistics: ACL 2023. https://doi.org/10.18653/v1/2023.findings-acl.434
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2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, N., Daxenberger, J., Schiller, B., & Habernal, I. (2023). Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). https://doi.org/10.18653/v1/2023.law-1.8
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