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5319 Publications
2022 | Journal Article | LibreCat-ID: 34154 | 
T. F. Auer, H. Ekemen, C. Hagedorn, C. Heise, and C. Rese, “Same Different but not Same Same: Ethnic Discrimination in Application Procedures in the German Public Sector,” Empirical Economics Letters, vol. 21, no. 7, pp. 47–55, 2022.
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2022 | Conference Paper | LibreCat-ID: 49315
L. Kaiser et al., “Report on the E-TEMS 2022 Doctoral Workshop ‘Smart Cities as System of Systems,’” 2022, doi: 10.1109/e-tems53558.2022.9944419.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34191
K. Knorr and F. Hein-Pensel, “Since Albert and Whetten: the dissemination of Albert and Whetten’s conceptualization of organizational identity,” Management Review Quarterly, 2022, doi: 10.1007/s11301-022-00311-7.
LibreCat
| DOI
2022 | Working Paper | LibreCat-ID: 47097
B. Chlond, T. Goeschl, and M. Kesternich, Wie lässt sich die Energieeffizienz in einkommensschwachen Haushalten steigern? ZEW Policy Brief 22-01, 2022.
LibreCat
2022 | Conference Paper | LibreCat-ID: 48861
J. Bossek and F. Neumann, “Exploring the Feature Space of TSP Instances Using Quality Diversity,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2022, pp. 186–194, doi: 10.1145/3512290.3528851.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48868
J. Bossek, A. Neumann, and F. Neumann, “Evolutionary Diversity Optimization for Combinatorial Optimization: Tutorial at GECCO’22, Boston, USA,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 824–842, doi: 10.1145/3520304.3533626.
LibreCat
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2022 | Conference Paper | LibreCat-ID: 48894
A. Nikfarjam, A. Neumann, J. Bossek, and F. Neumann, “Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem,” in Parallel Problem Solving from Nature (PPSN XVII), 2022, pp. 237–249, doi: 10.1007/978-3-031-14714-2_17.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48878
L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi: 10.3390/app12189094.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 48896
J. Rook, H. Trautmann, J. Bossek, and C. Grimme, “On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems,” in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, pp. 356–359, doi: 10.1145/3520304.3528998.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 32565 |
R. Kurock, N. Gruchel, S. Bonanati, and H. M. Buhl, “Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review,” Adolescent Research Review, 2022, doi: 10.1007/s40894-022-00189-2.
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2022 | Conference Paper | LibreCat-ID: 34317
K. Arslan and M. Trier, “Towards a Process Model for Social Media Marketing,” presented at the ACIS 2022, Melbourne, Australia, 2022.
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2022 | Conference Paper | LibreCat-ID: 36912
B. Löhr, K. Brennig, C. Bartelheimer, D. Beverungen, and O. Müller, “Process Mining of Knowledge-Intensive Processes: An Action Design Research Study in Manufacturing,” 2022, doi: 10.1007/978-3-031-16103-2_18.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 21214
E. A. Jakob, H. Steinmetz, M. Wehner, C. Engelhardt, and R. Kabst, “Like It or not: When corporate social responsibility does not attract potential applicants,” Journal of Business Ethics, vol. 178, pp. 105–127.
LibreCat
2022 | Conference Paper | LibreCat-ID: 32509
U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs,” in The Semantic Web -- ISWC 2022, Hanghzou, China, pp. 462--480, doi: 10.1007/978-3-031-19433-7_27.
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| DOI
2022 | Journal Article | LibreCat-ID: 34473 |
W. Schnedler, “The broken chain: Evidence against emotionally driven upstream indirect reciprocity,” Games and Economic Behavior, vol. 136, pp. 542–558, 2022, doi: 10.1016/j.geb.2022.10.008.
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2022 | Conference Paper | LibreCat-ID: 42631
M. Caron, “Shortcut Learning in Financial Text Mining: Exposing the Overly Optimistic Performance Estimates of Text Classification Models under Distribution Shift,” presented at the 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, doi: 10.1109/bigdata55660.2022.10020933.
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