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204 Publications
2021 | Conference Paper | LibreCat-ID: 46313
J. Heins, J. Bossek, J. Pohl, M. Seiler, H. Trautmann, and P. Kerschke, “On the Potential of Normalized TSP Features for Automated Algorithm Selection,” in Proceedings of the 16$^th$ ACM/SIGEVO Conference on Foundations of genetic Algorithms (FOGA XVI), 2021, pp. 1–15, doi: 10.1145/3450218.3477308.
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2020 | Conference Paper | LibreCat-ID: 46319
D. Assenmacher, L. Adam, H. Trautmann, and C. Grimme, “Towards Real-Time and Unsupervised Campaign Detection in Social Media,” 2020.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46328
R. P. Prager, H. Trautmann, H. Wang, T. H. W. Bäck, and P. Kerschke, “Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis,” in Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI), 2020, pp. 996–1003, doi: 10.1109/SSCI47803.2020.9308510.
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2020 | Conference Paper | LibreCat-ID: 46320
D. Assenmacher, L. Clever, J. Pohl, H. Trautmann, and C. Grimme, “A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media,” in Proceedings of the International Conference on Human-Computer Interaction (HCII 2020): Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis, 2020, pp. 201–214, doi: 10.1007/978-3-030-49570-1_14.
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2020 | Conference Paper | LibreCat-ID: 46325
M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “Towards Automated Configuration of Stream Clustering Algorithms,” in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD ’19), 2020, pp. 137–143, doi: 10.1007/978-3-030-43823-4_12.
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2020 | Conference Paper | LibreCat-ID: 46321
D. Assenmacher, L. Frischlich , H. Trautmann, C. Grimme, and L. Adam, “Inside the tool set of automation: Free social bot code revisited,” in Disinformation in open online media, 2020, pp. 101–114.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46326
M. Carnein, H. Trautmann, A. Bifet, and B. Pfahringer, “confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms,” in Proceedings of the 14$^th$ Learning and Intelligent Optimization Conference (LION 2020), 2020, pp. 80–95, doi: 10.1007/978-3-030-53552-0_10.
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2020 | Conference Paper | LibreCat-ID: 46327
C. Lena, L. Frischlich, H. Trautmann, and C. Grimme, “Automated detection of nostalgic text in the context of societal pessimism,” in Disinformation in open online media, 2020, pp. 48–58.
LibreCat
2020 | Conference Paper | LibreCat-ID: 46329
D. M. Riehle, M. Niemann, J. Brunk, D. Assenmacher, H. Trautmann, and J. Becker, “Building an Integrated Comment Moderation System – Towards a Semi-automatic Moderation Tool,” in Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing, 2020, pp. 71–86.
LibreCat
2020 | Journal Article | LibreCat-ID: 46333
D. Assenmacher, L. Clever, L. Frischlich, T. Quandt, H. Trautmann, and C. Grimme, “Demystifying Social Bots: On the Intelligence of Automated Social Media Actors,” Social Media + Society, vol. 6, no. 3, p. 2056305120939264, 2020, doi: 10.1177/2056305120939264.
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2020 | Conference Paper | LibreCat-ID: 46332
V. Steinhoff, P. Kerschke, P. Aspar, H. Trautmann, and C. Grimme, “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, pp. 2445–2452, doi: 10.1109/SSCI47803.2020.9308259.
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2020 | Conference Paper | LibreCat-ID: 48847
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “More Effective Randomized Search Heuristics for Graph Coloring through Dynamic Optimization,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1277–1285, doi: 10.1145/3377930.3390174.
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2020 | Conference Paper | LibreCat-ID: 48849
J. Bossek, C. Doerr, P. Kerschke, A. Neumann, and F. Neumann, “Evolving Sampling Strategies for One-Shot Optimization Tasks,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 111–124, doi: 10.1007/978-3-030-58112-1_8.
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2020 | Conference Paper | LibreCat-ID: 48851
J. Bossek, K. Casel, P. Kerschke, and F. Neumann, “The Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 1286–1294, doi: 10.1145/3377930.3390243.
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2020 | Conference Paper | LibreCat-ID: 48845
J. Bossek, C. Grimme, and H. Trautmann, “Dynamic Bi-Objective Routing of Multiple Vehicles,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 166–174, doi: 10.1145/3377930.3390146.
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2020 | Conference Paper | LibreCat-ID: 48844
J. Bossek, P. Kerschke, and H. Trautmann, “Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185613.
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2020 | Conference Paper | LibreCat-ID: 48850
J. Bossek, C. Doerr, and P. Kerschke, “Initial Design Strategies and Their Effects on Sequential Model-Based Optimization: An Exploratory Case Study Based on BBOB,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 778–786, doi: 10.1145/3377930.3390155.
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2020 | Conference Paper | LibreCat-ID: 48852
J. Bossek, A. Neumann, and F. Neumann, “Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions,” in Parallel Problem Solving from Nature (PPSN XVI), 2020, pp. 346–359, doi: 10.1007/978-3-030-58112-1_24.
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2020 | Conference Paper | LibreCat-ID: 48846
J. Bossek, C. Grimme, G. Rudolph, and H. Trautmann, “Towards Decision Support in Dynamic Bi-Objective Vehicle Routing,” in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8, doi: 10.1109/CEC48606.2020.9185778.
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2020 | Conference Paper | LibreCat-ID: 48879
A. V. Do, J. Bossek, A. Neumann, and F. Neumann, “Evolving Diverse Sets of Tours for the Travelling Salesperson Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2020, pp. 681–689, doi: 10.1145/3377930.3389844.
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