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36760 Publications


2020 | Book Chapter | LibreCat-ID: 30954
Schuster, B.-M. (2020). Linguistik des Briefs. In M. I. Matthews-Schlinzig, J. Schuster, G. Steinbrink , & J. Strobel (Eds.), Handbuch Brief. Von der Frühen Neuzeit bis zur Gegenwart (Bd. 1: Interdisziplinarität – Systematische Perspektiven – Briefgenres) (Vol. 1, pp. 19–39). de Gruyter.
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2020 | Book Chapter | LibreCat-ID: 31120
Schuster, B.-M. (2020). The contribution of terminology research to the understanding of science communication. In A. Leßmöllmann, M. Dascal , & T. Gloning (Eds.), Science Communication (Handbooks of Communication Science) (Vol. 17, pp. 167–186). de Gruyter.
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2020 | Book Chapter | LibreCat-ID: 31129
Schuster, B.-M., Markewitz, F., & Wilk, N. M. (2020). Was bedeutet Ehre? Diskursethische Überlegungen zu den BBC-Reden Thomas Manns. In Heidrun Kämper & Ingo H Warnke (Eds.), Diskurs – ethisch. (pp. 9–32).
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2020 | Conference Paper | LibreCat-ID: 47960
Reitzig, S., Rüsing, M., Kirbus, B., Gossel, J., Singh, E., Eng, L. M., Zhao, J., & Mookherjea, S. (2020). micro-Raman Investigations of Periodically-Poled X-Cut Thin-Film Lithium Niobate for Integrated Optics. 2020 Joint Conference of the IEEE International Frequency Control Symposium and International Symposium on Applications of Ferroelectrics (IFCS-ISAF). https://doi.org/10.1109/ifcs-isaf41089.2020.9234951
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2020 | Book | LibreCat-ID: 35966
Sloane, P. F. E., Daniel, D., Meier, K., Schwabl, F., & Volgmann, S. (2020). Selbstreguliertes Lernen - Können die das überhaupt? Gestaltung von Lernprozessen in berufsvorbereitenden Bildungsgängen. Eusl-Verlagsgesellschaft mbH.
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2020 | Conference Paper | LibreCat-ID: 46328
Prager, R. P., Trautmann, H., Wang, H., Bäck, T. H. W., & Kerschke, P. (2020). Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 996–1003. https://doi.org/10.1109/SSCI47803.2020.9308510
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2020 | Conference Paper | LibreCat-ID: 46320
Assenmacher, D., Clever, L., Pohl, J., Trautmann, H., & Grimme, C. (2020). A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. In G. Meiselwitz (Ed.), Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis (pp. 201–214). Springer International Publishing. https://doi.org/10.1007/978-3-030-49570-1_14
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2020 | Conference Paper | LibreCat-ID: 46325
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). Towards Automated Configuration of Stream Clustering Algorithms. Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 137–143. https://doi.org/10.1007/978-3-030-43823-4_12
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2020 | Conference Paper | LibreCat-ID: 46321
Assenmacher, D., Frischlich , L., Trautmann, H., Grimme, C., & Adam, L. (2020). Inside the tool set of automation: Free social bot code revisited. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 101–114). Springer.
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2020 | Conference Paper | LibreCat-ID: 46326
Carnein, M., Trautmann, H., Bifet, A., & Pfahringer, B. (2020). confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 80–95. https://doi.org/10.1007/978-3-030-53552-0_10
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2020 | Conference Paper | LibreCat-ID: 46324
Bossek, J., Kerschke, P., & Trautmann, H. (2020). Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8.
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2020 | Conference Paper | LibreCat-ID: 46322
Bossek, J., Grimme, C., Rudolph, G., & Trautmann, H. (2020). Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1–8. https://doi.org/10.1109/CEC48606.2020.9185778
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2020 | Conference Paper | LibreCat-ID: 46323
Bossek, J., Grimme, C., & Trautmann, H. (2020). Dynamic Bi-Objective Routing of Multiple Vehicles. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’20), 166–174.
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2020 | Conference Paper | LibreCat-ID: 46327
Lena, C., Frischlich, L., Trautmann, H., & Grimme, C. (2020). Automated detection of nostalgic text in the context of societal pessimism. In C. Grimme, M. Preuß, F. Takes, & A. Waldherr (Eds.), Disinformation in open online media (pp. 48–58).
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2020 | Conference Paper | LibreCat-ID: 46330
Seiler, M. V., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In T. Bäck, M. Preuss, A. Deutz, H. Wang, C. Doerr, M. Emmerich, & H. Trautmann (Eds.), Proceedings of the 16$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XVI) (pp. 48–64). https://doi.org/10.1007/978-3-030-58112-1_4
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2020 | Conference Paper | LibreCat-ID: 46329
Riehle, D. M., Niemann, M., Brunk, J., Assenmacher, D., Trautmann, H., & Becker, J. (2020). Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool. In G. Meiselwitz (Ed.), Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing (pp. 71–86). Springer International Publishing.
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2020 | Journal Article | LibreCat-ID: 46333
Assenmacher, D., Clever, L., Frischlich, L., Quandt, T., Trautmann, H., & Grimme, C. (2020). Demystifying Social Bots: On the Intelligence of Automated Social Media Actors. Social Media + Society, 6(3), 2056305120939264. https://doi.org/10.1177/2056305120939264
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2020 | Journal Article | LibreCat-ID: 46334
Bossek, J., Kerschke, P., & Trautmann, H. (2020). A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing, 88, 105901. https://doi.org/10.1016/j.asoc.2019.105901
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2020 | Conference Paper | LibreCat-ID: 46331
Seiler, M. V., Trautmann, H., & Kerschke, P. (2020). Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN48605.2020.9207338
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2020 | Conference Paper | LibreCat-ID: 46332
Steinhoff, V., Kerschke, P., Aspar, P., Trautmann, H., & Grimme, C. (2020). Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2445–2452. https://doi.org/10.1109/SSCI47803.2020.9308259
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