Bentler, Dominik, Stefan Gabriel, Benedikt A. Latos, Oliver  Dietrich, Roman Dumitrescu, and Günter W. Maier. “Partizipatives Gestaltungsvorgehen Bei Der Einführung Künstlicher Intelligenz in Produzierenden Unternehmen.” In GfA-Frühjahrskongress 2023. GfA, Sankt Augustin, 2023.
LibreCat: /record/47799

Weller, Julian, Daniel Roesmann, Sönke Eggert, Sebastian von Enzberg, Iris Gräßler, and Roman Dumitrescu. “Identification and Prediction of Standard Times in Machining for Precision Steel Tubes through the Usage of Data Analytics.”https://doi.org/10.1016/j.procir.2023.01.011__Procedia CIRP 119 (2023): 514–20.https://doi.org/10.1016/j.procir.2023.01.011 .
LibreCat: /record/47827
DOI: 10.1016/j.procir.2023.01.011

Machon, Fabian, Stefan Gabriel, Benedikt Latos, Christoph Holtkötter, Ben Lütkehoff, Laban Asmar, Arno Kühn, and Roman Dumitrescu. “Design of Individual Simulation Games in Manufacturing Companies for Game-Based Learning.”https://doi.org/10.1016/j.procir.2023.03.145__Procedia CIRP 119 (2023): 1017–22.https://doi.org/10.1016/j.procir.2023.03.145 .
LibreCat: /record/47822
DOI: 10.1016/j.procir.2023.03.145

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.”https://doi.org/10.1016/j.procir.2023.03.114__Procedia CIRP 119 (2023): 602–7.https://doi.org/10.1016/j.procir.2023.03.114 .
LibreCat: /record/47824
DOI: 10.1016/j.procir.2023.03.114

Wilke, Daria, Anja Schierbaum, Harald Anacker, and Roman Dumitrescu. “Targeted-Oriented Selection of Engineering Methods.”https://doi.org/10.1016/j.procir.2023.02.166__Procedia CIRP 119 (2023): 788–93.https://doi.org/10.1016/j.procir.2023.02.166 .
LibreCat: /record/47826
DOI: 10.1016/j.procir.2023.02.166

König, Jürgen. On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.
LibreCat: /record/47833

Hansmeier, Tim. XCS for Self-Awareness in Autonomous Computing Systems, 2023.
LibreCat: /record/47837

Gharibian, Sevag, Ryu Hayakawa, François Le Gall, and Tomoyuki Morimae. “Improved Hardness Results for the Guided Local Hamiltonian Problem.”https://doi.org/10.4230/LIPIcs.ICALP.2023.32__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: /record/32407
DOI: 10.4230/LIPIcs.ICALP.2023.32
arXiv: 2207.10250

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.”https://doi.org/10.1016/j.procir.2023.02.160__Procedia CIRP 119 (2023): 693–98.https://doi.org/10.1016/j.procir.2023.02.160 .
LibreCat: /record/48051
DOI: 10.1016/j.procir.2023.02.160

Winkel, Fabian, Oliver Wallscheid, Peter Scholz, and Joachim Böcker. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.”https://doi.org/10.1109/ojies.2023.3323870__IEEE Open Journal of the Industrial Electronics Society, 2023, 1–14.https://doi.org/10.1109/ojies.2023.3323870 .
LibreCat: /record/48059
DOI: 10.1109/ojies.2023.3323870

Winkel, Fabian, Johannes Deuse-Kleinsteuber, and Joachim Böcker. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.”https://doi.org/10.1109/tr.2023.3255786__IEEE Transactions on Reliability, 2023, 1–14.https://doi.org/10.1109/tr.2023.3255786 .
LibreCat: /record/48058
DOI: 10.1109/tr.2023.3255786

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.”https://doi.org/10.1145/3594805.3607136__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 .
LibreCat: /record/47522
DOI: 10.1145/3594805.3607136

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.
LibreCat: /record/46297

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.
LibreCat: /record/46298

Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.”https://doi.org/10.1162/evco_a_00341__Evolutionary Computation, 2023, 1–25.https://doi.org/10.1162/evco_a_00341 .
LibreCat: /record/46299
DOI: 10.1162/evco_a_00341

Habernal, Ivan, Fatemehsadat Mireshghallah, Patricia Thaine, Sepideh Ghanavati, and Oluwaseyi Feyisetan. “Privacy-Preserving Natural Language Processing.”https://doi.org/10.18653/v1/2023.eacl-tutorials.6__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 .
LibreCat: /record/48289
DOI: 10.18653/v1/2023.eacl-tutorials.6

Matzken, Cleo, Steffen Eger, and Ivan Habernal. “Trade-Offs Between Fairness and Privacy in Language Modeling.”https://doi.org/10.18653/v1/2023.findings-acl.434__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 .
LibreCat: /record/48288
DOI: 10.18653/v1/2023.findings-acl.434

Mouhammad, Nina, Johannes Daxenberger, Benjamin Schiller, and Ivan Habernal. “Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting.”https://doi.org/10.18653/v1/2023.law-1.8__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 .
LibreCat: /record/48291
DOI: 10.18653/v1/2023.law-1.8

Yin, Ying, and Ivan Habernal. “Privacy-Preserving Models for Legal Natural Language Processing.”https://doi.org/10.18653/v1/2022.nllp-1.14__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 .
LibreCat: /record/48296
DOI: 10.18653/v1/2022.nllp-1.14

Unruh, Roland, Joachim Böcker, and Frank Schafmeister. “An Optimized Third-Harmonic Injection Reduces DC-Link Voltage Ripple in Cascaded H-Bridge Converters up to 50% for All Power Factors.”https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313__In 2023 25th European Conference on Power Electronics and Applications (EPE’23 ECCE Europe). IEEE, 2023.https://doi.org/10.23919/epe23ecceeurope58414.2023.10264313 .
LibreCat: /record/48352
DOI: 10.23919/epe23ecceeurope58414.2023.10264313