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5363 Publications
2020 | Conference Paper | LibreCat-ID: 35660
Kucklick, J.-P., Kamm, M. R., Schneider, J., & vom Brocke, J. (2020). Extending Loyalty Programs with BI Functionalities A Case Study for Brick-and-Mortar Stores. Proceedings of the 53rd Hawaii International Conference on System Sciences. 53th Annual Hawaii International Conference on System Sciences (HICSS-53).
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2020 | Journal Article | LibreCat-ID: 36265 | 
Weber, J. (2020). Introduction: Technosecurity Cultures. Technosecurity Cultures, Sonderausgabe „Science as Culture“ (Hg.: Jutta Weber/Katrin M. Kämpf), Vol. 29(1), 1–10.
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2020 | Journal Article | LibreCat-ID: 37021
Chiapello, E., & Knoll, L. (2020). The Welfare Conventions Approach: A Comparative Perspective on Social Impact Bonds. Journal of Comparative Policy Analysis: Research and Practice, 22(2), 100–115. https://doi.org/10.1080/13876988.2019.1695965
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2020 | Journal Article | LibreCat-ID: 37023
Chiapello, E., & Knoll, L. (2020). Social Finance and Impact Investing: Governing Welfare in the Era of Financialization. Historical Social Research, 45(3), 7–30.
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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 | Journal Article | LibreCat-ID: 47956
Tan, D., Kirbus, B., Rüsing, M., Pietsch, T., Ruck, M., & Eng, L. M. (2020). Resource‐Efficient Low‐Temperature Synthesis of Microcrystalline Pb2B5O9X (X = Cl, Br) for Surfaces Studies by Optical Second Harmonic Generation. Small, 16(23), Article 2000857. https://doi.org/10.1002/smll.202000857
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2020 | Journal Article | LibreCat-ID: 47955
Zhao, J., Rüsing, M., Roeper, M., Eng, L. M., & Mookherjea, S. (2020). Poling thin-film x-cut lithium niobate for quasi-phase matching with sub-micrometer periodicity. Journal of Applied Physics, 127(19), Article 193104. https://doi.org/10.1063/1.5143266
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2020 | Journal Article | LibreCat-ID: 33299 |
Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6.
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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 | Journal Article | LibreCat-ID: 48523
Gales, A., & Hubner-Benz, S. (2020). Perceptions of the Self Versus One’s Own Social Group: (Mis)conceptions of Older Women’s Interest in and Competence With Technology. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00848
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2020 | Journal Article | LibreCat-ID: 48382
Schnettler, T., Bobe, J., Scheunemann, A., Fries, S., & Grunschel, C. (2020). Is it still worth it? Applying expectancy-value theory to investigate the intraindividual motivational process of forming intentions to drop out from university. Motivation and Emotion, 44(4), 491–507. https://doi.org/10.1007/s11031-020-09822-w
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2020 | Conference Paper | LibreCat-ID: 20764 |
von Neumann, T., Boeddeker, C., Drude, L., Kinoshita, K., Delcroix, M., Nakatani, T., & Haeb-Umbach, R. (2020). Multi-Talker ASR for an Unknown Number of Sources: Joint Training of Source Counting, Separation and ASR. Proc. Interspeech 2020, 3097–3101. https://doi.org/10.21437/Interspeech.2020-2519
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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: 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).
LibreCat
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 | 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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