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13161 Publications


2019 | Mastersthesis | LibreCat-ID: 6627
Selig, M. J. (2019). The effects of driver variables on online review metrics: A meta-analysis. Universität Paderborn.
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2019 | Bachelorsthesis | LibreCat-ID: 10289
Brockmeier, F. K. (2019). Feasibility study on the use of Hypermedia/HATEOAS using an example of a RESTful API from the financial services environment based on OpenAPI/Swagger. Universität Paderborn.
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2019 | Bachelorsthesis | LibreCat-ID: 14541
Post, H. (2019). Haben B2B-Kunden auch Gefühle? Eine semantische Analyse von Online-Kundenbewertungen auf digitalen B2B-Märkten. Universität Paderborn.
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2019 | Bachelorsthesis | LibreCat-ID: 10203
Rohde, L. (2019). Sozioökonomische Implikationen des Sharing Economy Trends. Universität Paderborn.
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2019 | Conference Paper | LibreCat-ID: 20810
Jean, F., & Maslovskaya, S. (2019). Inverse optimal control problem: the linear-quadratic case. In 2018 IEEE Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc.2018.8619204
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2019 | Conference Abstract | LibreCat-ID: 20670
Büchel, D., Lehmann, T., & Baumeister, J. (2019). Effect of age on reactive multidirectional speed in highly trained youth soccer players. In Book of abstracts - German Exercise Science and Training conference (Vol. 49).
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2019 | Journal Article | LibreCat-ID: 15424
Paschen, L., Lehmann, T., Kehne, M., & Baumeister, J. (2019). Effects of Acute Physical Exercise With Low and High Cognitive Demands on Executive Functions in Children: A Systematic Review. Pediatr Exerc Sci, 31(3), 267–281. https://doi.org/10.1123/pes.2018-0215
LibreCat | DOI | PubMed | Europe PMC
 

2020 | Dissertation | LibreCat-ID: 15482
Löken, N. (2020). Cryptography for the Crowd — A Study of Cryptographic Schemes with Applications to Crowd Work. https://doi.org/10.17619/UNIPB/1-854
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2020 | Conference Abstract | LibreCat-ID: 15211
Szopinski, D., Schoormann, T., & Kundisch, D. (2020). Visualize different: Towards researching the fit between taxonomy visualizations and taxonomy tasks. In Tagungsband der 15. Internationalen Tagung Wirtschaftsinformatik 2020 (WI). Potsdam, Germany.
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2020 | Journal Article | LibreCat-ID: 16288
Klus, S., Nüske, F., Peitz, S., Niemann, J.-H., Clementi, C., & Schütte, C. (2020). Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406. https://doi.org/10.1016/j.physd.2020.132416
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