L. Blübaum and S. Heindorf, “Causal Question Answering with Reinforcement Learning,” presented at the The Web Conference, Singapore.
LibreCat: /record/52231

C. De Groote, A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes. 2024.
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R. Doddegowda, Optimal Drone Strategies For Packet Delivery. 2024.
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H. Thakur, Evaluating the Implications. 2024.
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O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems,” in Applications of Evolutionary Computation, Cham: Springer Nature Switzerland, 2024.
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DOI: 10.1007/978-3-031-56852-7_20

M. Vinzent Seiler, J. Rook, J. Heins, O. L. Preuß, J. Bossek, and H. Trautmann, “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP,”10.1109/ssci52147.2023.10372008__2024, doi:10.1109/ssci52147.2023.10372008 .
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DOI: 10.1109/ssci52147.2023.10372008

F. Philipp, M. Schaller, K. Worthmann, S. Peitz, and F. Nüske, “Error bounds for kernel-based approximations of the Koopman operator,”10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis , vol. 71, Art. no. 101657, 2024, doi:10.1016/j.acha.2024.101657 .
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DOI: 10.1016/j.acha.2024.101657
arXiv: 2301.08637

M. Lass, T. Kenter, C. Plessl, and M. Brehm, “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations,”10.3390/e26040322__Entropy, vol. 26, no. 4, Art. no. 322, 2024, doi:10.3390/e26040322 .
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K. Olgu, T. Kenter, J. Nunez-Yanez, and S. Mcintosh-Smith, “Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures,”10.1145/3648115.3648134__2024, doi:10.1145/3648115.3648134 .
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S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” Journal of Systems Research (JSys).
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L. Höper and C. Schulte, “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”10.15388/infedu.2024.19__Informatics in Education, 2024, doi:10.15388/infedu.2024.19 .
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C. Bauer et al., “Noctua 2 Supercomputer,”10.17815/jlsrf-8-187 __Journal of large-scale research facilities, vol. 9, 2024, doi:10.17815/jlsrf-8-187  .
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DOI: 10.17815/jlsrf-8-187 

G. Liu, V. Nigade, H. Bal, and L. Wang, “A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT,” presented at the ACM Asia Pacific Workshop on Networking (APNET), Sydney, Austrialia, 2024.
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S. C. Krings and E. Yigitbas, “TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR,” Proceedings of the ACM on Human-Computer Interaction, EICS, vol. 8, no. 251, p. 22, 2024.
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E. Yigitbas and J. Mazur, “Augmented and Virtual Reality for Diet and Nutritional Education: A Systematic Literature Review,” 2024.
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L. Schmidt and E. Yigitbas, “Development and Usability Evaluation of Transitional Cross-Reality Interfaces,” Proceedings of the ACM on Human-Computer Interaction, EICS, vol. 8, no. 263, p. 31, 2024.
LibreCat: /record/53813

K. Biermeier, I. Scharlau, and E. Yigitbas, “Measuring Visual Attention Capacity Across xReality,” 2024.
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E. Yigitbas, M. Schmidt, A. Bucchiarone, S. Bassanelli, and G. Engels, “Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling,” 2024.
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E. Yigitbas and C. Kaltschmidt, “Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections,” 2024.
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S. C. Krings, K. Biermeier, and E. Yigitbas, “Interaction Techniques for Remote Maintenance in an AR Shared Environment,” 2024.
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J. Leichtweiß and E. Yigitbas, “An Exploratory Study of Fear-Inducing Factors in Virtual Reality Experiences,” 2024.
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S. Krois and E. Yigitbas, “Prototyping Cross-Reality Escape Rooms,” 2024.
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S. C. Krings, E. Yigitbas, and S. Sauer, “Developing a VR Factory Walkthrough for Use in Schools,” 2024.
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J. Akhter, P. D. Fährmann, K. Sonntag, and S. Peitz, “Common pitfalls to avoid while using multiobjective optimization in machine learning,” arXiv. 2024.
LibreCat: /record/53858

E. Bodden, J. Pottebaum, M. Fockel, and I. Gräßler, “Evaluating Security Through Isolation and Defense in Depth,”10.1109/msec.2023.3336028__IEEE Security &; Privacy, vol. 22, no. 1, pp. 69–72, 2024, doi:10.1109/msec.2023.3336028 .
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DOI: 10.1109/msec.2023.3336028

K. Karakaya and E. Bodden, “Symbol-Specific Sparsification of Interprocedural Distributive Environment Problems,”10.1145/3597503.3639092__2024, doi:10.1145/3597503.3639092 .
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K. Karakaya et al., “SootUp: A Redesign of the Soot Static Analysis Framework,” in Tools and Algorithms for the Construction and Analysis of Systems, Cham: Springer Nature Switzerland, 2024.
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O. Johnson, G. Piskachev, R. Krishnamurthy, and E. Bodden, “Detecting Security-Relevant Methods using Multi-label Machine Learning,”10.48550/ARXIV.2403.07501__2024, doi:10.48550/ARXIV.2403.07501 .
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DOI: 10.48550/ARXIV.2403.07501

A. P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A. M. Mir, L. Li, and E. Bodden, “TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools,” 2024.
LibreCat: /record/53959
arXiv: 2312.16882

A. P. Dann, B. Hermann, and E. Bodden, “UpCy: Safely Updating Outdated Dependencies.” 2023.
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S. Peitz and K. Bieker, “On the Universal Transformation of Data-Driven Models to Control Systems,”10.1016/j.automatica.2022.110840__Automatica, vol. 149, Art. no. 110840, 2023, doi:10.1016/j.automatica.2022.110840 .
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E. Schrader, R. Bernijazov, M. Foullois, M. Hillebrand, L. Kaiser, and R. Dumitrescu, “Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering,”10.1109/isse54508.2022.10005487__2023, doi:10.1109/isse54508.2022.10005487 .
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C. Richter, J. F. Haltermann, M.-C. Jakobs, F. Pauck, S. Schott, and H. Wehrheim, “Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?,”10.1145/3551349.3561156__2023, doi:10.1145/3551349.3561156 .
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S. Schott and F. Pauck, “Benchmark Fuzzing for Android Taint Analyses,”10.1109/scam55253.2022.00007__2023, doi:10.1109/scam55253.2022.00007 .
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F. Pauck, “Scaling Arbitrary Android App Analyses,”10.1145/3551349.3561339__2023, doi:10.1145/3551349.3561339 .
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M. Pilot, Updatable Privacy-Preserving Reputation System based on Blockchain. 2023.
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S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in Computer Science Education, Bloomsbury Academic, 2023.
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J. Castenow, J. Harbig, D. Jung, T. Knollmann, and F. Meyer auf der Heide, “Gathering a Euclidean Closed Chain of Robots in Linear Time and Improved Algorithms for Chain-Formation,”10.1016/j.tcs.2022.10.031__Theoretical Computer Science, vol. 939, pp. 261–291, 2023, doi:10.1016/j.tcs.2022.10.031 .
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arXiv: 2010.04424 

L. Luo, G. Piskachev, R. Krishnamurthy, J. Dolby, M. Schäf, and E. Bodden, “Model Generation For Java Frameworks,” 2023.
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A. P. Shivarpatna Venkatesh, J. Wang, L. Li, and E. Bodden, “Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis,” 2023.
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E. Yigitbas, J. Klauke, S. Gottschalk, and G. Engels, “End-User Development of Interactive Web-Based Virtual Reality Scenes,” Journal on Computer Languages (COLA) , 2023.
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E. Yigitbas and G. Engels, “Enhancing Robot Programming through Digital Twin and Augmented Reality ,” 2023.
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E. Yigitbas, S. Krois, S. Gottschalk, and G. Engels, “Towards Enhanced Guiding Mechanisms in VR Training through Process Mining,” 2023.
LibreCat: /record/34401

J. Castenow, J. Harbig, D. Jung, P. Kling, T. Knollmann, and F. Meyer auf der Heide, “A Unifying Approach to Efficient (Near-)Gathering of Disoriented Robots with Limited Visibility ,”10.4230/LIPIcs.OPODIS.2022.15__in Proceedings of the 26th International Conference on Principles of Distributed Systems (OPODIS) , Brussels, 2023, vol. 253, p. 15:1–15:25, doi:10.4230/LIPIcs.OPODIS.2022.15 .
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arXiv: 2206.07567 

S. Werner and S. Peitz, “Learning a model is paramount for sample efficiency in reinforcement  learning control of PDEs,” arXiv:2302.07160. 2023.
LibreCat: /record/42160
arXiv: 2302.07160

S. Gharibian and D. Rudolph, “Quantum space, ground space traversal, and how to embed multi-prover  interactive proofs into unentanglement,”10.4230/LIPIcs.ITCS.2023.53__in 14th Innovations in Theoretical Computer Science (ITCS), 2023, vol. 251, p. 53:1-53:23, doi:10.4230/LIPIcs.ITCS.2023.53 .
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arXiv: 2206.05243

B. Gebken, K. Bieker, and S. Peitz, “On the structure of regularization paths for piecewise differentiable regularization terms,”10.1007/s10898-022-01223-2__Journal of Global Optimization, vol. 85, no. 3, pp. 709–741, 2023, doi:10.1007/s10898-022-01223-2 .
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T. Götte, C. Kolb, C. Scheideler, and J. Werthmann, “Beep-and-Sleep: Message and Energy Efficient Set Cover,”10.1016/j.tcs.2023.113756__Theor. Comput. Sci., vol. 950, p. 113756, 2023, doi:10.1016/j.tcs.2023.113756 .
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E. Yigitbas, A. Nowosad, and G. Engels, “Supporting Construction and Architectural Visualization through BIM and AR/VR: A Systematic Literature Review,” 2023.
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M. Schaller, K. Worthmann, F. Philipp, S. Peitz, and F. Nüske, “Towards reliable data-based optimal and predictive control using extended DMD,”10.1016/j.ifacol.2023.02.029__in IFAC-PapersOnLine, 2023, vol. 56, no. 1, pp. 169–174, doi:10.1016/j.ifacol.2023.02.029 .
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arXiv: 2202.09084

M. Maack, “Online load balancing on uniform machines with limited migration,”10.1016/j.orl.2023.02.013__Operations Research Letters, vol. 51, no. 3, pp. 220–225, 2023, doi:10.1016/j.orl.2023.02.013 .
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P. Schürmann,  A Formal Comparison of Advanced Digital Signature Primitives. 2023.
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S. Gharibian, J. Watson, and J. Bausch, “The Complexity of Translationally Invariant Problems beyond Ground State Energies,”https://doi.org/10.4230/LIPIcs.STACS.2023.54__in Proceedings of the 40th International Symposium on Theoretical Aspects of Computer Science (STACS), 2023, vol. 254, p. 54:1-54:21, doi:https://doi.org/10.4230/LIPIcs.STACS.2023.54 .
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arXiv: 2012.12717

Q. A. Ahmed, M. Awais, and M. Platzner, “MAAS: Hiding Trojans in Approximate Circuits,” presented at the The 24th International Symposium on Quality Electronic Design (ISQED’23), San Fransico CA 94023-0607, USA, 2023.
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J. Schweichhart, Minimum Edge Cuts in Overlay Networks. 2023.
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J. Castenow, J. Harbig, and F. Meyer auf der Heide, “Unifying Gathering Protocols for Swarms of Mobile Robots,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2023.
LibreCat: /record/44769
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D. Wolters and G. Engels, “Model-driven Collaborative Design of Professional Education Programmes With Extended Online Whiteboards,”10.5220/0011675700003402__in MODELSWARD’23, pp. 133–142, doi:10.5220/0011675700003402 .
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F. Pauck, Cooperative Android App Analysis. Paderborn University, 2023.
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J. Werthmann, C. Scheideler, S. Coy, A. Czumaj, and P. Schneider, “Routing Schemes for Hybrid Communication Networks,”10.48550/ARXIV.2210.05333__2023, doi:10.48550/ARXIV.2210.05333 .
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S. Hemmrich, J. Bobolz, D. Beverungen, and J. Blömer, “Designing Business Reputation Ecosystems — A Method for Issuing and Trading Monetary Ratings on a Blockchain,” presented at the ECIS 2023, 2023.
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N. N., Development and Evaluation of a Model-Based UI Prototyping Experimentation Approach. 2023.
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K. Karakaya and E. Bodden, “Two Sparsification Strategies for Accelerating Demand-Driven Pointer Analysis,”10.1109/icst57152.2023.00036__2023, doi:10.1109/icst57152.2023.00036 .
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A. Koch, Privacy-Preserving Collection and Evaluation of Log Files. 2023.
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M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann, and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,”10.1038/s41597-023-02199-8__Scientific Data, vol. 10, no. 1, Art. no. 318, 2023, doi:10.1038/s41597-023-02199-8 .
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J. Castenow, Local Protocols for Contracting and Expanding Robot Formation Problems. 2023.
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T. Knollmann, Online Algorithms for Allocating Heterogeneous Resources. 2023.
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S. S. Hotegni, S. Mahabadi, and A. Vakilian, “Approximation Algorithms for Fair Range Clustering,” presented at the International Conference on Machine Learning, Honolulu, Hawaii, USA.
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S. N. Hebrok et al., “We Really Need to Talk About Session Tickets: A Large-Scale Analysis of Cryptographic Dangers with TLS Session Tickets,” 2023.
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F. Simon-Mertens, Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. 2023.
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K. Grigoryan et al., “Data-Driven Product Management: A Practitioner-Driven Research Agenda,” presented at the 33rd CIRP Design Conference, Sydney, 2023.
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L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, and R. Dumitrescu, “Interview Study on Strategy Options for Platform Operation in B Markets,” presented at the ISPIM Innovation Conference, Ljubljana, 2023.
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N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,”https://doi.org/10.1007/978-3-031-33455-9_13__in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi:https://doi.org/10.1007/978-3-031-33455-9_13 .
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L. N. Sieger, S. Heindorf, L. Blübaum, and A.-C. Ngonga Ngomo, “Counterfactual Explanations for Concepts in ELH,” arXiv:2301.05109. 2023.
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arXiv: 2301.05109

J. Kersting, Identifizierung quantifizierbarer Bewertungsinhalte und -kategorien mittels Text Mining. Neubiberg: Universität der Bundeswehr München , 2023.
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T. Götte, T. Knollmann, F. Meyer auf der Heide, C. Scheideler, and J. Werthmann, “Capabilities and Limitations of Local Strategies in Dynamic Networks,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 1--20.
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H. Karl, M. Maack, F. Meyer auf der Heide, S. Pukrop, and A. Redder, “On-The-Fly Compute Centers II: Execution of Composed Services in Configurable Compute Centers,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 183–202.
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J. Blömer, J. Bobolz, F. Eidens, T. Jager, and P. Kramer, “Practical Cryptograhic Techniques for Secure and Privacy-Preserving Customer Loyalty Systems,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 237–246.
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S. Gottschalk, C. Vorbohle, D. Kundisch, G. Engels, and N. V. Wünderlich, “Architectural Management of OTF Computing Markets,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 203–224.
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J. Blömer, F. Eidens, T. Jager, D. Niehues, and C. Scheideler, “Robustness and Security,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 145–164.
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F. S. Bäumer, W.-F. Chen, M. Geierhos, J. Kersting, and H. Wachsmuth, “Dialogue-based Requirement Compensation and Style-adjusted Data-to-text Generation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 65–84.
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J. M. Hanselle et al., “Configuration and Evaluation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 85–104.
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C.-J. Haake, B. Hehenkamp, and G. Polevoy, “The Market for Services: Incentives, Algorithms, Implementation,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 21–44.
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H. Wehrheim, E. Hüllermeier, S. Becker, M. Becker, C. Richter, and A. Sharma, “Composition Analysis in Unknown Contexts,” in On-The-Fly Computing -- Individualized IT-services in dynamic markets, vol. 412, C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, and H. Wehrheim, Eds. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023, pp. 105–123.
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M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA. Paderborn University, 2023.
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N. Yadalam Murali Kumar, Data Analytics for Predictive Maintenance of Time Series Data. Paderborn University, 2023.
LibreCat: /record/45916

L. Bittel, S. Gharibian, and M. Kliesch, “The Optimal Depth of Variational Quantum Algorithms Is QCMA-Hard to Approximate,”10.4230/LIPIcs.CCC.2023.34__in Proceedings of the 38th Computational Complexity Conference (CCC), 2023, vol. 264, no. 34, p. 34:1-34:24, doi:10.4230/LIPIcs.CCC.2023.34 .
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arXiv: 2211.12519

S. Pukrop, On Cloud Assisted, Restricted, and Reosurce Constrained Scheduling. 2023.
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F. Schneider, Utilizing Redundancy in Distributed Heterogeneous Storage. 2023.
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M. Raeisi Nafchi, Reconfigurable Random Forest Implementation on FPGA. 2023.
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A. Ranade, Graph Neural Network-based Anomaly Detection in  Smart Grid Energy Consumption. 2023.
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O. Ali, Highly accurate deep compressed facial recognition. 2023.
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N. Ashri, Virtual On-Demand Volunteer System Based on Delaunay Triangulation. 2023.
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M. Meyer, T. Kenter, and C. Plessl, “Multi-FPGA Designs and Scaling of HPC Challenge Benchmarks via MPI and Circuit-Switched Inter-FPGA Networks,”10.1145/3576200__ACM Transactions on Reconfigurable Technology and Systems, 2023, doi:10.1145/3576200 .
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J.-O. Opdenhövel, C. Plessl, and T. Kenter, “Mutation Tree Reconstruction of Tumor Cells on FPGAs Using a Bit-Level Matrix Representation,”10.1145/3597031.3597050__2023, doi:10.1145/3597031.3597050 .
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N. N., Improving the End-of-Line Test of Custom-Built Geared Motors using Clustering based on Neural Networks. 2023.
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C. Demir and A.-C. Ngonga Ngomo, “Neuro-Symbolic Class Expression Learning,” International Joint Conference on Artificial Intelligence, 2023.
LibreCat: /record/46251

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

R. Schade, T. Kenter, H. Elgabarty, M. Lass, T. Kühne, and C. Plessl, “Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics,”10.1177/10943420231177631__The International Journal of High Performance Computing Applications, Art. no. 109434202311776, 2023, doi:10.1177/10943420231177631 .
LibreCat: /record/45361
DOI: 10.1177/10943420231177631

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 

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