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13796 Publications


2019 | Journal Article | LibreCat-ID: 9920
M. Fritz, T. Gries, and Y. Feng, “Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?,” Economics Letters, vol. 181, pp. 47–50, 2019.
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2019 | Conference Paper | LibreCat-ID: 9778
D. Gutt and J. Neumann, “The Virtues of Anonymity - An Empirical Investigation of the Relationship between B2B Online Ratings and Reviewer Self-Disclosure,” in Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm, Sweden, 2019.
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2019 | Conference Paper | LibreCat-ID: 9780
N. Bohn, “Do Digital Startups Prepare for Technology Pivots? - An Initial Analysis of Job Adverts,” in Proceedings of the 25th Americas Conference on Information Systems (AMCIS), Cancun, Mexico, 2019.
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2019 | Journal Article | LibreCat-ID: 9634
K.-H. Luo et al., “Nonlinear integrated quantum electro-optic circuits,” Science Advances, 2019.
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2019 | Conference Paper | LibreCat-ID: 16959
A. Ferreri, P. Sharapova, K. H. Luo, H. Herrmann, and C. Silberhorn, “Theoretical description of a multimode SU(1,1) interferometer,” in Quantum Information and Measurement (QIM) V: Quantum Technologies, 2019.
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2019 | Book Chapter | LibreCat-ID: 16966
C. Kuklinski et al., “Features of innovative lectures that distinguish them from traditional lectures and their evaluation by attending students,” in Proceedings of {CERME} 11, Utrecht, 2019.
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2019 | Journal Article | LibreCat-ID: 17077
C. Wiebeler and I. Schapiro, “QM/MM Benchmarking of Cyanobacteriochrome Slr1393g3 Absorption Spectra,” Molecules, 2019.
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2019 | Conference Paper | LibreCat-ID: 17096
P. Sommerauer, O. Müller, L. Maxim, and N. Østman, “The Effect of Marker-less Augmented Reality on Task and Learning Performance,” in International Conference on Wirtschaftsinformatik, 2019.
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2019 | Journal Article | LibreCat-ID: 12919
P. Georgi et al., “Metasurface interferometry toward quantum sensors,” Light: Science & Applications, vol. 8, p. 70, 2019.
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2019 | Conference Paper | LibreCat-ID: 15007
V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101), 2019.
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