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

Improved Hardness Results for the Guided Local Hamiltonian Problem
S. Gharibian, R. Hayakawa, F.L. Gall, T. Morimae, in: Proceedings of the 50th EATCS International Colloquium on Automata, Languages and Programming (ICALP), 2023, pp. 1–19.
LibreCat: /record/32407
DOI: 10.4230/LIPIcs.ICALP.2023.32
arXiv: 2207.10250

Stakeholder-oriented Elaboration of Artificial Intelligence use cases using the example of Special-Purpose engineering
L. Humpert, M. Wäschle, S. Horstmeyer, H. Anacker, R. Dumitrescu, A. Albers, Procedia CIRP 119 (2023) 693–698.
LibreCat: /record/48051
DOI: 10.1016/j.procir.2023.02.160

Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays
F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14.
LibreCat: /record/48059
DOI: 10.1109/ojies.2023.3323870

Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning
F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14.
LibreCat: /record/48058
DOI: 10.1109/tr.2023.3255786

Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features
R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.
LibreCat: /record/47522
DOI: 10.1145/3594805.3607136

Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features
R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.
LibreCat: /record/46297

Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets
L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.
LibreCat: /record/46298

Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python
R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25.
LibreCat: /record/46299
DOI: 10.1162/evco_a_00341

Privacy-Preserving Natural Language Processing
I. Habernal, F. Mireshghallah, P. Thaine, S. Ghanavati, O. Feyisetan, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, Association for Computational Linguistics, 2023.
LibreCat: /record/48289
DOI: 10.18653/v1/2023.eacl-tutorials.6