Performance Management Approach for Digital Platforms in B Markets
L. Özcan, L. Kirchberg, C. Koldewey, R. Dumitrescu, in: I. Bitran, L. Bitetti, S.  Conn, J. Fishburn, E. Huizingh, M. Torkkeli, J. Yang (Eds.), The Role of Innovation: Past, Present, Future, Athens, 2022.
LibreCat: /record/33997

Hyphenation of ultra-high-performance liquid chromatography and ion mobility mass spectrometry for the analysis of sequence-defined oligomers with different functionalities and tacticity
M.-T. Berg, A. Herberg, D. Kuckling, International Journal of Polymer Analysis and Characterization (2022) 1–12.
LibreCat: /record/32416
DOI: 10.1080/1023666x.2022.2100968

Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie
T.F. Auer, die hochschullehre 8 (2022) 662–675.
LibreCat: /record/44529
DOI: http://doi.org/10.3278/HSL2248W

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.
LibreCat: /record/48882
DOI: 10.1007/978-3-031-14714-2_14

Module-Inverters (Microinverters): Influence of Module Size on Conversion Efficiencies and Energy Yields
S. Krauter, J. Bendfeld, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC 2021), 2021, pp. 659–663.
LibreCat: /record/24550
DOI: 10.4229/EUPVSEC20212021-4CO.3.4

Elevated Temperatures Affecting Efficiency, Overall Performance and Energy Yield of PV Microinverters
S. Krauter, J. Bendfeld, in: Proceedings of the EU PVSEC 2020 , 2020, pp. 1179–1180.
LibreCat: /record/18387
DOI: 10.4229/EUPVSEC20202020-4AV.3.6

A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.
LibreCat: /record/46334
DOI: https://doi.org/10.1016/j.asoc.2019.105901

A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms
J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020).
LibreCat: /record/48848
DOI: 10.1016/j.asoc.2019.105901

Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships
N. Hüther, D.T. Robinson, S. Sievers, T. Hartmann-Wendels, Management Science (VHB-JOURQUAL 3 Ranking A+) 66 (2019) 1756–1782.
LibreCat: /record/20688
DOI: 10.1287/mnsc.2018.3274

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
G. Rauchecker, G. Schryen, Computers &; Operations Research (2019) 338–357.
LibreCat: /record/6512

Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe
B. Hippert, A. Uhde, S.T. Wengerek, Review of Derivatives Research  22 (2019) 203–259.
LibreCat: /record/4562
DOI: https://doi.org/10.1007/s11147-018-9148-8

Multi-Objective Performance Measurement: Alternatives to PA and Expected Running Time
J. Bossek, H. Trautmann, in: R. Battiti, M. Brunato, I. Kotsireas, P.M. Pardalos (Eds.), Learning and Intelligent Optimization, Springer International Publishing, Cham, 2019, pp. 215–219.
LibreCat: /record/48875
DOI: 10.1007/978-3-030-05348-2_19

Performance Assessment of Multi-Objective Evolutionary Algorithms with the R Package ecr
J. Bossek, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1350–1356.
LibreCat: /record/48867
DOI: 10.1145/3205651.3208312

Parameterization of State-of-the-Art Performance Indicators: A Robustness Study Based on Inexact TSP Solvers
P. Kerschke, J. Bossek, H. Trautmann, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2018, pp. 1737–1744.
LibreCat: /record/48885
DOI: 10.1145/3205651.3208233

Leveraging TSP Solver Complementarity through Machine Learning
P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620.
LibreCat: /record/48884
DOI: 10.1162/evco_a_00215

Paying for Performance in Private Equity: Evidence from VC Partnerships
N. Hüther, D. Robinson, S. Sievers, T. Hartmann-Wendels, SSRN Electronic Journal (2017).
LibreCat: /record/5185
DOI: 10.2139/ssrn.3087320

Computational self-awareness as design approach for visual sensor nodes
Z. Guettatfi, P. Hübner, M. Platzner, B. Rinner, in: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.
LibreCat: /record/10780
DOI: 10.1109/ReCoSoC.2017.8016147

High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic
G. Rauchecker, G. Schryen, in: Australasian Conference on Information Systems, 2015, pp. 1–13.
LibreCat: /record/5678

Advancing Research on Loyalty Programs: A Future Research Agenda.
E. Breugelmans, T.H.A. Bijmolt, J. Zhang, L.J. Basso, M. Dorotic, P. Kopalle, A. Minnema, W.J. Mijnlieff, N. Wünderlich, Marketing Letters 26 (2015) 127–139.
LibreCat: /record/5705

A hardware/software infrastructure for performance monitoring on LEON3 multicore platforms
N. Ho, P. Kaufmann, M. Platzner, in: 24th Intl. Conf. on Field Programmable Logic and Applications (FPL), 2014, pp. 1–4.
LibreCat: /record/10674
DOI: 10.1109/FPL.2014.6927437