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37 Publications
2022 | Conference Paper | LibreCat-ID: 33997
Özcan L, Kirchberg L, Koldewey C, Dumitrescu R. Performance Management Approach for Digital Platforms in B2B Markets. In: Bitran I, Bitetti L, Conn S, et al., eds. The Role of Innovation: Past, Present, Future. ; 2022.
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2022 | Journal Article | LibreCat-ID: 32416
Berg M-T, Herberg A, Kuckling D. Hyphenation of ultra-high-performance liquid chromatography and ion mobility mass spectrometry for the analysis of sequence-defined oligomers with different functionalities and tacticity. International Journal of Polymer Analysis and Characterization. Published online 2022:1-12. doi:10.1080/1023666x.2022.2100968
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2022 | Journal Article | LibreCat-ID: 44529 | 
Auer TF. Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre. 2022;8(1):662-675. doi:http://doi.org/10.3278/HSL2248W
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2022 | Conference Paper | LibreCat-ID: 48882
Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G, Tusar T, eds. Parallel Problem Solving from Nature (PPSN XVII). Lecture Notes in Computer Science. Springer International Publishing; 2022:192–206. doi:10.1007/978-3-031-14714-2_14
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2021 | Conference Paper | LibreCat-ID: 24550
Krauter S, Bendfeld J. Module-Inverters (Microinverters): Influence of Module Size on Conversion Efficiencies and Energy Yields. In: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2021). ; 2021:659-663. doi:10.4229/EUPVSEC20212021-4CO.3.4
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2020 | Conference Paper | LibreCat-ID: 18387
Krauter S, Bendfeld J. Elevated Temperatures Affecting Efficiency, Overall Performance and Energy Yield of PV Microinverters. In: Proceedings of the EU PVSEC 2020 . ; 2020:1179-1180. doi:10.4229/EUPVSEC20202020-4AV.3.6
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2020 | Journal Article | LibreCat-ID: 46334
Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Applied Soft Computing. 2020;88:105901. doi:https://doi.org/10.1016/j.asoc.2019.105901
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2020 | Journal Article | LibreCat-ID: 48848
Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. Applied Soft Computing. 2020;88(C). doi:10.1016/j.asoc.2019.105901
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2019 | Journal Article | LibreCat-ID: 20688
Hüther N, Robinson DT, Sievers S, Hartmann-Wendels T. Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships. Management Science (VHB-JOURQUAL 3 Ranking A+). 2019;66(4):1756-1782. doi:10.1287/mnsc.2018.3274
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2019 | Journal Article | LibreCat-ID: 6512 |
Rauchecker G, Schryen G. Using High Performance Computing for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setup Times: Development and Computational Evaluation of a Parallel Branch-and-Price Algorithm. Computers & Operations Research. 2019;(104):338-357.
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2019 | Journal Article | LibreCat-ID: 4562
Hippert B, Uhde A, Wengerek ST. Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe. Review of Derivatives Research . 2019;22(2):203-259. doi:https://doi.org/10.1007/s11147-018-9148-8
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2019 | Conference Paper | LibreCat-ID: 48875
Bossek J, Trautmann H. Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. In: Battiti R, Brunato M, Kotsireas I, Pardalos PM, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2019:215–219. doi:10.1007/978-3-030-05348-2_19
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2018 | Conference Paper | LibreCat-ID: 48867
Bossek J. Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO ’18. Association for Computing Machinery; 2018:1350–1356. doi:10.1145/3205651.3208312
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2018 | Conference Paper | LibreCat-ID: 48885
Kerschke P, Bossek J, Trautmann H. Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO’18. Association for Computing Machinery; 2018:1737–1744. doi:10.1145/3205651.3208233
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2018 | Journal Article | LibreCat-ID: 48884
Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation. 2018;26(4):597–620. doi:10.1162/evco_a_00215
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2017 | Journal Article | LibreCat-ID: 5185
Hüther N, Robinson D, Sievers S, Hartmann-Wendels T. Paying for Performance in Private Equity: Evidence from VC Partnerships. SSRN Electronic Journal. 2017. doi:10.2139/ssrn.3087320
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2017 | Conference Paper | LibreCat-ID: 10780
Guettatfi Z, Hübner P, Platzner M, Rinner B. Computational self-awareness as design approach for visual sensor nodes. In: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC). ; 2017:1-8. doi:10.1109/ReCoSoC.2017.8016147
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2015 | Conference Paper | LibreCat-ID: 5678 |
Rauchecker G, Schryen G. High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic. In: Australasian Conference on Information Systems. ; 2015:1-13.
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2015 | Journal Article | LibreCat-ID: 5705
Breugelmans E, Bijmolt THA, Zhang J, et al. Advancing Research on Loyalty Programs: A Future Research Agenda. Marketing Letters. 2015;26(2):127-139.
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2014 | Conference Paper | LibreCat-ID: 10674
Ho N, Kaufmann P, Platzner M. A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms. In: 24th Intl. Conf. on Field Programmable Logic and Applications (FPL). ; 2014:1-4. doi:10.1109/FPL.2014.6927437
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