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37495 Publications
2020 | Conference Paper | LibreCat-ID: 46323
Bossek J, Grimme C, Trautmann H. Dynamic Bi-Objective Routing of Multiple Vehicles. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20). ACM; 2020:166–174.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46327
Lena C, Frischlich L, Trautmann H, Grimme C. Automated detection of nostalgic text in the context of societal pessimism. In: Grimme C, Preuß M, Takes F, Waldherr A, eds. Disinformation in Open Online Media. ; 2020:48–58.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46330
Seiler MV, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Bäck T, Preuss M, Deutz A, et al., eds. Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI). ; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46329
Riehle DM, Niemann M, Brunk J, Assenmacher D, Trautmann H, Becker J. Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In: Meiselwitz G, ed. Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. Springer International Publishing; 2020:71–86.
LibreCat
2020 | Journal Article | LibreCat-ID: 46333
Assenmacher D, Clever L, Frischlich L, Quandt T, Trautmann H, Grimme C. Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. Social Media + Society. 2020;6(3):2056305120939264. doi:10.1177/2056305120939264
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46331
Seiler MV, Trautmann H, Kerschke P. Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN). ; 2020:1–8. doi:10.1109/IJCNN48605.2020.9207338
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff V, Kerschke P, Aspar P, Trautmann H, Grimme C. Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI). ; 2020:2445–2452. doi:10.1109/SSCI47803.2020.9308259
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 48301
Glockner M, Habernal I, Gurevych I. Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision. In: Findings of the Association for Computational Linguistics: EMNLP 2020. Association for Computational Linguistics; 2020. doi:10.18653/v1/2020.findings-emnlp.97
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 29940
Unruh R, Schafmeister F, Fröhleke N, Böcker J. 1-MW Full-Bridge MMC for High-Current Low-Voltage (100V-400V) DC-Applications. In: PCIM Europe Digital Days 2020; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management. VDE; 2020.
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