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117 Publications
2020 | Working Paper | LibreCat-ID: 17019 | 
Schryen, Guido, Gerit Wagner, and Alexander Benlian. Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre, 2020.
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2020 | Conference Paper | LibreCat-ID: 15580
Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.
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2020 | Journal Article | LibreCat-ID: 20143 |
Otroshi, Mortaza, Moritz Rossel, and Gerson Meschut. “Stress State Dependent Damage Modeling of Self-Pierce Riveting Process Simulation Using GISSMO Damage Model.” Journal of Advanced Joining Processes 1 (2020). https://doi.org/10.1016/j.jajp.2020.100015.
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2020 | Journal Article | LibreCat-ID: 11946 |
Schryen, Guido, Gerit Wagner, Alexander Benlian, and Guy Paré. “A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field.” Communications of the AIS 46 (2020): 134–86. https://doi.org/10.17705/1CAIS.04607.
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2020 | Journal Article | LibreCat-ID: 21948 |
Pawelczyk, Sebastian, Marieluise Kniepkamp, Steffen Jesinghausen, and Hans-Joachim Schmid. “Absolute Rheological Measurements of Model Suspensions: Influence and Correction of Wall Slip Prevention Measures.” Materials, 2020. https://doi.org/10.3390/ma13020467.
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2020 | Conference Paper | LibreCat-ID: 48850
Bossek, Jakob, Carola Doerr, and Pascal 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, 778–786. GECCO ’20. New York, NY, USA: Association for Computing Machinery, 2020. https://doi.org/10.1145/3377930.3390155.
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.
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2019 | Journal Article | LibreCat-ID: 4682
Schmiedel, T., Oliver Müller, and J. vom Brocke. “Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture.” Organizational Research Methods, 2019, 941--968. https://doi.org/10.1177/1094428118773858.
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2019 | Conference Paper | LibreCat-ID: 9850
Szopinski, Daniel. “Can Stimuli Improve Business Model Idea Generation? Developing Software-Based Tools for Business Model Innovation.” In Proceedings of the ACM Creativity & Cognition, 2019.
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2019 | Journal Article | LibreCat-ID: 9853
Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.
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