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D. Wilke, A. Schierbaum, H. Anacker, and R. Dumitrescu, “Targeted-oriented selection of engineering methods,”10.1016/j.procir.2023.02.166__Procedia CIRP, vol. 119, pp. 788–793, 2023, doi:10.1016/j.procir.2023.02.166 .
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J. König, On the Membership and Correctness Problem for State Serializability and Value Opacity. 2023.
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T. Hansmeier, XCS for Self-awareness in Autonomous Computing Systems. 2023.
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S. Gharibian, R. Hayakawa, F. L. Gall, and T. Morimae, “Improved Hardness Results for the Guided Local Hamiltonian Problem,”10.4230/LIPIcs.ICALP.2023.32__in Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 2023, vol. 261, no. 32, pp. 1–19, doi:10.4230/LIPIcs.ICALP.2023.32 .
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L. Humpert, M. Wäschle, S. Horstmeyer, H. Anacker, R. Dumitrescu, and A. Albers, “Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering,”10.1016/j.procir.2023.02.160__Procedia CIRP, vol. 119, pp. 693–698, 2023, doi:10.1016/j.procir.2023.02.160 .
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R. P. Prager et al., “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,”10.1145/3594805.3607136__in Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023, pp. 129–139, doi:10.1145/3594805.3607136 .
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R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features,” in Applications of Evolutionary Computation, 2023, pp. 411–425.
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L. Schäpermeier, P. Kerschke, C. Grimme, and H. Trautmann, “Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets,” in Evolutionary Multi-Criterion Optimization, 2023, pp. 291–304.
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R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,”10.1162/evco_a_00341__Evolutionary Computation, pp. 1–25, 2023, doi:10.1162/evco_a_00341 .
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I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, and O. Feyisetan, “Privacy-Preserving Natural Language Processing,”10.18653/v1/2023.eacl-tutorials.6__2023, doi:10.18653/v1/2023.eacl-tutorials.6 .
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C. Matzken, S. Eger, and I. Habernal, “Trade-Offs Between Fairness and Privacy in Language Modeling,”10.18653/v1/2023.findings-acl.434__2023, doi:10.18653/v1/2023.findings-acl.434 .
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N. Mouhammad, J. Daxenberger, B. Schiller, and I. Habernal, “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting,”10.18653/v1/2023.law-1.8__2023, doi:10.18653/v1/2023.law-1.8 .
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L. Decking, Zuweisung verteilter Speicher unter Maximierung der minimalen gewichteten Bandbreite. 2023.
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N. Weidmann, J. Kirchhoff, and S. Sauer, “Digitizing Processes in Manufacturing Companies via Low-Code Software (to appear),” 2023.
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C. Koldewey, R. Martin, R. Dumitrescu, and J. Winter, “Introduction to the Minitrack on Data-driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management,” presented at the 56th Hawaii International Conference on System Sciences, Maui, Hawaii, 2023.
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R. Dumitrescu and C. Koldewey, Eds., Datengestützte Produktplanung, vol. 408. Paderborn: Heinz Nixdorf Institut, 2023.
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D. Wermke et al., “‘Always Contribute Back’: A Qualitative Study on Security Challenges of the Open Source Supply Chain,”10.1109/SP46215.2023.10179378__in 44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023, 2023, pp. 1545–1560, doi:10.1109/SP46215.2023.10179378 .
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A. Krause, J. H. Klemmer, N. Huaman, D. Wermke, Y. Acar, and S. Fahl, “Pushed by Accident: A Mixed-Methods Study on Strategies of Handling Secret Information in Source Code Repositories,” in 32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023, 2023.
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