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5719 Publications


2023 | Journal Article | LibreCat-ID: 47824
Brock, Jonathan, Sebastian von Enzberg, Arno Kühn, and Roman Dumitrescu. “Process Mining Data Canvas: A Method to Identify Data and Process Knowledge for Data Collection and Preparation in Process Mining Projects.” Procedia CIRP 119 (2023): 602–7. https://doi.org/10.1016/j.procir.2023.03.114.
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2023 | Journal Article | LibreCat-ID: 47826
Wilke, Daria, Anja Schierbaum, Harald Anacker, and Roman Dumitrescu. “Targeted-Oriented Selection of Engineering Methods.” Procedia CIRP 119 (2023): 788–93. https://doi.org/10.1016/j.procir.2023.02.166.
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2023 | Dissertation | LibreCat-ID: 47833
König, Jürgen. On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.
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2023 | Dissertation | LibreCat-ID: 47837
Hansmeier, Tim. XCS for Self-Awareness in Autonomous Computing Systems, 2023.
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2023 | Conference Paper | LibreCat-ID: 32407
Gharibian, Sevag, Ryu Hayakawa, François Le Gall, and Tomoyuki Morimae. “Improved Hardness Results for the Guided Local Hamiltonian Problem.” In Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 261:1–19, 2023. https://doi.org/10.4230/LIPIcs.ICALP.2023.32.
LibreCat | DOI | arXiv
 

2023 | Journal Article | LibreCat-ID: 48051
Humpert, Lynn, Moritz Wäschle, Sarah Horstmeyer, Harald Anacker, Roman Dumitrescu, and Albert Albers. “Stakeholder-Oriented Elaboration of Artificial Intelligence Use Cases Using the Example of Special-Purpose Engineering.” Procedia CIRP 119 (2023): 693–98. https://doi.org/10.1016/j.procir.2023.02.160.
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2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.
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2023 | Conference Paper | LibreCat-ID: 46297
Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.
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2023 | Journal Article | LibreCat-ID: 46299
Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.
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2023 | Conference Paper | LibreCat-ID: 48289
Habernal, Ivan, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, and Oluwaseyi Feyisetan. “Privacy-Preserving Natural Language Processing.” In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.eacl-tutorials.6.
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2023 | Conference Paper | LibreCat-ID: 48288
Matzken, Cleo, Steffen Eger, and Ivan Habernal. “Trade-Offs Between Fairness and Privacy in Language Modeling.” In Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.findings-acl.434.
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2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad, Nina, Johannes Daxenberger, Benjamin Schiller, and Ivan Habernal. “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.” In Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2023.law-1.8.
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2023 | Conference Paper | LibreCat-ID: 48296
Yin, Ying, and Ivan Habernal. “Privacy-Preserving Models for Legal Natural Language Processing.” In Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics, 2023. https://doi.org/10.18653/v1/2022.nllp-1.14.
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2023 | Bachelorsthesis | LibreCat-ID: 48430
Decking, Leo. Zuweisung Verteilter Speicher Unter Maximierung Der Minimalen Gewichteten Bandbreite, 2023.
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2023 | Conference Paper | LibreCat-ID: 48368
Weidmann, Nils, Jonas Kirchhoff, and Stefan Sauer. “Digitizing Processes in Manufacturing Companies via Low-Code Software (to Appear).” Springer, 2023.
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2023 | Conference Paper | LibreCat-ID: 48669
Koldewey, Christian, Rabe Martin, Roman Dumitrescu, and Johannes Winter. “Introduction to the Minitrack on Data-Driven Services in Manufacturing: Innovation, Engineering, Transformation, and Management.” In Proceedings of the 56th Hawaii International Conference on System Sciences, 2023.
LibreCat | Files available
 

2023 | Book (Editor) | LibreCat-ID: 48666
Dumitrescu, Roman, and Christian Koldewey, eds. Datengestützte Produktplanung. Vol. 408. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, 2023. https://doi.org/10.17619/UNIPB/1-1667.
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2023 | Conference Paper | LibreCat-ID: 47304
Wermke, Dominik, Jan H. Klemmer, Noah Wöhler, Juliane Schmüser, Harshini Sri Ramulu, Yasemin Acar, and Sascha Fahl. “‘Always Contribute Back’: A Qualitative Study on Security Challenges of the Open Source Supply Chain.” In 44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023, 1545–1560. IEEE, 2023. https://doi.org/10.1109/SP46215.2023.10179378.
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2023 | Conference Paper | LibreCat-ID: 47299
Krause, Alexander, Jan H. Klemmer, Nicolas Huaman, Dominik Wermke, Yasemin Acar, and Sascha 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, edited by Joseph A. Calandrino and Carmela Troncoso. USENIX Association, 2023.
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