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9765 Publications
2023 | Conference Paper | LibreCat-ID: 32407
Gharibian, S., Hayakawa, R., Gall, F. L., & Morimae, T. (2023). Improved Hardness Results for the Guided Local Hamiltonian Problem. Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 261(32), 1–19. https://doi.org/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. (2023). Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering. Procedia CIRP, 119, 693–698. https://doi.org/10.1016/j.procir.2023.02.160
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48059
Winkel, F., Wallscheid, O., Scholz, P., & Böcker, J. (2023). Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society, 1–14. https://doi.org/10.1109/ojies.2023.3323870
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 48058
Winkel, F., Deuse-Kleinsteuber, J., & Böcker, J. (2023). Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability, 1–14. https://doi.org/10.1109/tr.2023.3255786
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 47522
Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 46297
Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp. 411–425). Springer Nature Switzerland.
LibreCat
2023 | Conference Paper | LibreCat-ID: 46298
Schäpermeier, L., Kerschke, P., Grimme, C., & Trautmann, H. (2023). Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K. Miettinen, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization (pp. 291–304). Springer Nature Switzerland.
LibreCat
2023 | Journal Article | LibreCat-ID: 46299
Prager, R. P., & Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 1–25. https://doi.org/10.1162/evco_a_00341
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48289
Habernal, I., Mireshghallah, F., Thaine, P., Ghanavati, S., & Feyisetan, O. (2023). Privacy-Preserving Natural Language Processing. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts. https://doi.org/10.18653/v1/2023.eacl-tutorials.6
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48288
Matzken, C., Eger, S., & Habernal, I. (2023). Trade-Offs Between Fairness and Privacy in Language Modeling. Findings of the Association for Computational Linguistics: ACL 2023. https://doi.org/10.18653/v1/2023.findings-acl.434
LibreCat
| DOI