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9736 Publications


2023 | Conference Paper | LibreCat-ID: 32407
Gharibian, Sevag, et al. “Improved Hardness Results for the Guided Local Hamiltonian Problem.” Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), vol. 261, no. 32, 2023, pp. 1–19, doi:10.4230/LIPIcs.ICALP.2023.32.
LibreCat | DOI | arXiv
 

2023 | Journal Article | LibreCat-ID: 48051
Humpert, Lynn, et al. “Stakeholder-Oriented Elaboration of Artificial Intelligence Use Cases Using the Example of Special-Purpose Engineering.” Procedia CIRP, vol. 119, Elsevier BV, 2023, pp. 693–98, doi:10.1016/j.procir.2023.02.160.
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 48059
Winkel, Fabian, et al. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” IEEE Open Journal of the Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/ojies.2023.3323870.
LibreCat | DOI
 

2023 | Journal Article | LibreCat-ID: 48058
Winkel, Fabian, et al. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” IEEE Transactions on Reliability, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/tr.2023.3255786.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 47522
Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2023, pp. 129–139, doi: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.” Applications of Evolutionary Computation, edited by João Correia et al., Springer Nature Switzerland, 2023, pp. 411–425.
LibreCat
 

2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich et al., Springer Nature Switzerland, 2023, pp. 291–304.
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, pp. 1–25, doi:10.1162/evco_a_00341.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48289
Habernal, Ivan, et al. “Privacy-Preserving Natural Language Processing.” Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.eacl-tutorials.6.
LibreCat | DOI
 

2023 | Conference Paper | LibreCat-ID: 48288
Matzken, Cleo, et al. “Trade-Offs Between Fairness and Privacy in Language Modeling.” Findings of the Association for Computational Linguistics: ACL 2023, Association for Computational Linguistics, 2023, doi:10.18653/v1/2023.findings-acl.434.
LibreCat | DOI
 

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