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5948 Publications
2020 | Conference Paper | LibreCat-ID: 29298 | 
Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp. 176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
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2020 | Journal Article | LibreCat-ID: 29722
Yigitbas, E., Jovanovikj, I., Biermeier, K., Sauer, S., & Engels, G. (2020). Integrated model-driven development of self-adaptive user interfaces. Software and Systems Modeling, 19(5), 1057–1081. https://doi.org/10.1007/s10270-020-00777-7
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2020 | Conference Paper | LibreCat-ID: 3776
Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154.
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2020 | Conference Paper | LibreCat-ID: 20137
Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.
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2020 | Conference Paper | LibreCat-ID: 3818
Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.
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2020 | Conference Paper | LibreCat-ID: 15826
Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319.
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2020 | Conference Paper | LibreCat-ID: 16868
Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345.
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2020 | Journal Article | LibreCat-ID: 21267
Budde, L., Schulte, C., Buhl, H. M., & Muehling, A. (2020). Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows). Seventh International Conference on Learning and Teaching in Computing and Engineeringe.
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2020 | Conference Paper | LibreCat-ID: 20141 |
Heindorf, S., Scholten, Y., Wachsmuth, H., Ngonga Ngomo, A.-C., & Potthast, M. (2020). CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020), 3023–3030. https://doi.org/10.1145/3340531.3412763
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2020 | Bachelorsthesis | LibreCat-ID: 18638
Kramer, P. (2020). Comparison of Zero-Knowledge Range Proofs. Universität Paderborn.
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2020 | Conference Paper | LibreCat-ID: 20838
Lösch, A., & Platzner, M. (2020). MigHEFT: DAG-based Scheduling of Migratable Tasks on Heterogeneous Compute Nodes. 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). https://doi.org/10.1109/ipdpsw50202.2020.00012
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2020 | Conference Paper | LibreCat-ID: 13226 |
Gharibian, S., Piddock, S., & Yirka, J. (2020). Oracle complexity classes and local measurements on physical Hamiltonians. Proceedings of the 37th Symposium on Theoretical Aspects of Computer Science (STACS 2020), 38.
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| arXiv
2020 | Conference Paper | LibreCat-ID: 46319
Assenmacher, D., Adam, L., Trautmann, H., & Grimme, C. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media. Proceedings of the Florida Artificial Intelligence Research Society Conference.
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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: 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: 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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