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5693 Publications
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
LibreCat
| DOI
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
LibreCat
| DOI
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.
LibreCat
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.
LibreCat
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
LibreCat
| DOI
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48288
Matzken C, Eger S, Habernal I. Trade-Offs Between Fairness and Privacy in Language Modeling. In: Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.findings-acl.434
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48291
Mouhammad N, Daxenberger J, Schiller B, Habernal I. Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting. In: Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII). Association for Computational Linguistics; 2023. doi:10.18653/v1/2023.law-1.8
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 48296
Yin Y, Habernal I. Privacy-Preserving Models for Legal Natural Language Processing. In: Proceedings of the Natural Legal Language Processing Workshop 2022. Association for Computational Linguistics; 2023. doi:10.18653/v1/2022.nllp-1.14
LibreCat
| DOI