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5711 Publications
2023 | Dissertation | LibreCat-ID: 47833
König, Jürgen. On the Membership and Correctness Problem for State Serializability and Value Opacity, 2023.
LibreCat
2023 | Dissertation | LibreCat-ID: 47837
Hansmeier, Tim. XCS for Self-Awareness in Autonomous Computing Systems, 2023.
LibreCat
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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.
LibreCat
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.
LibreCat
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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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| DOI