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9766 Publications


2023 | Dissertation | LibreCat-ID: 47837
Hansmeier T. XCS for Self-Awareness in Autonomous Computing Systems.; 2023.
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2023 | Conference Paper | LibreCat-ID: 32407
Gharibian S, Hayakawa R, Gall FL, Morimae T. Improved Hardness Results for the Guided Local Hamiltonian Problem. In: Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP). Vol 261. ; 2023:1-19. doi:10.4230/LIPIcs.ICALP.2023.32
LibreCat | DOI | arXiv
 

2023 | Journal Article | LibreCat-ID: 48051
Humpert L, Wäschle M, Horstmeyer S, Anacker H, Dumitrescu R, Albers A. Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP. 2023;119:693-698. doi:10.1016/j.procir.2023.02.160
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2023 | Journal Article | LibreCat-ID: 48059
Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society. Published online 2023:1-14. doi:10.1109/ojies.2023.3323870
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2023 | Journal Article | LibreCat-ID: 48058
Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability. Published online 2023:1-14. doi:10.1109/tr.2023.3255786
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2023 | Conference Paper | LibreCat-ID: 47522
Prager RP, Dietrich K, Schneider L, et al. 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. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136
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2023 | Conference Paper | LibreCat-ID: 46297
Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.
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2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier L, Kerschke P, Grimme C, Trautmann H. Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In: Emmerich M, Deutz A, Wang H, et al., eds. Evolutionary Multi-Criterion Optimization. Springer Nature Switzerland; 2023:291–304.
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2023 | Journal Article | LibreCat-ID: 46299
Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation. Published online 2023:1–25. doi:10.1162/evco_a_00341
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2023 | Conference Paper | LibreCat-ID: 48289
Habernal I, Mireshghallah F, Thaine P, Ghanavati S, Feyisetan O. 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. doi:10.18653/v1/2023.eacl-tutorials.6
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