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1556 Publications
2019 | Journal Article | LibreCat-ID: 4562
B. Hippert, A. Uhde, and S. T. Wengerek, “Portfolio Benefits of Adding Corporate Credit Default Swap Indices: Evidence from North America and Europe,” Review of Derivatives Research , vol. 22, no. 2, pp. 203–259, 2019, doi: https://doi.org/10.1007/s11147-018-9148-8.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 19300
M. Mäck et al., “Optimization with constraints considering polymorphic uncertainties,” GAMM-Mitteilungen, Art. no. e201900005, 2019, doi: 10.1002/gamm.201900005.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 27026
L. Libuda et al., “Vitamin D and the Risk of Depression: A Causal Relationship? Findings from a Mendelian Randomization Study,” Nutrients, Art. no. 1085, 2019, doi: 10.3390/nu11051085.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 27025
N. Knoll-Pientka et al., “Risk factors for a low weight gain in the early stage of adolescent anorexia nervosa inpatient treatment: findings from a pilot study,” Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, pp. 911–919, 2019, doi: 10.1007/s40519-019-00705-9.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 27521
J. Hebebrand et al., “Clinical Trials Required to Assess Potential Benefits and Side Effects of Treatment of Patients With Anorexia Nervosa With Recombinant Human Leptin,” Frontiers in Psychology, 2019, doi: 10.3389/fpsyg.2019.00769.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 47947
M. Rüsing, P. O. Weigel, J. Zhao, and S. Mookherjea, “Toward 3D Integrated Photonics Including Lithium Niobate Thin Films: A Bridge Between Electronics, Radio Frequency, and Optical Technology,” IEEE Nanotechnology Magazine, vol. 13, no. 4, pp. 18–33, 2019, doi: 10.1109/mnano.2019.2916115.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46343
C. Grimme, P. Kerschke, and H. Trautmann, “Multimodality in Multi-Objective Optimization — More Boon than Bane?,” in Proceedings of the 10$^th$ International Conference on Evolutionary Multi-Criterion Optimization (EMO), 2019, vol. 11411, pp. 126–138, doi: 10.1007/978-3-030-12598-1_11.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 46342
C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H. Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization,” in AIP Conference Proceedings, 2019, pp. 020052-1-020052–4, doi: 10.1063/1.5090019.
LibreCat
| DOI
2019 | Book Chapter | LibreCat-ID: 48341
M. Wille, “Prinzipien und Strategien der Textgliederung in den Zeitungen des 18. Jahrhunderts – Eine computerbasierte Korpusanalyse,” in Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress vom 22. bis 24. Juni 2017 an der Universität St. Petersburg, vol. 34, F. Simmler and G. Baeva, Eds. Berlin: Weidler, 2019, pp. 507–531.
LibreCat
2019 | Book Chapter | LibreCat-ID: 31142
B.-M. Schuster, “Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878,” in Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen in Texten vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress an der Staatlichen Universität St. Petersburg vom 22. bis 24. Juni 2017, F. Simmler and G. Baeva, Eds. Berlin : WEIDLER, 2019, pp. 293–312.
LibreCat
2019 | Book Chapter | LibreCat-ID: 46336
P. Kerschke and H. Trautmann, “Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco,” in Applications in Statistical Computing, N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, and M. Vichi, Eds. Springer, 2019, pp. 93–123.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 46346
P. Kerschke and H. Trautmann, “Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning,” Evolutionary Computation (ECJ), vol. 27, no. 1, pp. 99–127, 2019, doi: 10.1162/evco_a_00236.
LibreCat
| DOI
2019 | Journal Article | LibreCat-ID: 46347
P. Kerschke et al., “Search Dynamics on Multimodal Multi-Objective Problems,” Evolutionary Computation (ECJ), vol. 27, no. 4, pp. 577–609, 2019, doi: 10.1162/evco_a_00234.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 23720
I. Gräßler, J. Pottebaum, P. Taplick, D. Roesmann, and D. Preuß, “Unterstützung des Lernens für kritische Situationen: Potenzial von Augmented Reality für die Instandsetzung auf See,” in Go-3D 2019 “Mit 3D Richtung Maritim 4.0” - Tagungsband zur Konferenz Go-3D 2019, 2019, pp. 45–57.
LibreCat
2019 | Conference Paper | LibreCat-ID: 48841
J. Bossek, C. Grimme, S. Meisel, G. Rudolph, and H. Trautmann, “Bi-Objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm,” in Evolutionary Multi-Criterion Optimization (EMO), 2019, pp. 516–528, doi: 10.1007/978-3-030-12598-1_41.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48842
J. Bossek, P. Kerschke, A. Neumann, M. Wagner, F. Neumann, and H. Trautmann, “Evolving Diverse TSP Instances by Means of Novel and Creative Mutation Operators,” in Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019, pp. 58–71, doi: 10.1145/3299904.3340307.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48843
J. Bossek, F. Neumann, P. Peng, and D. Sudholt, “Runtime Analysis of Randomized Search Heuristics for Dynamic Graph Coloring,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 1443–1451, doi: 10.1145/3321707.3321792.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48840
J. Bossek, C. Grimme, and F. Neumann, “On the Benefits of Biased Edge-Exchange Mutation for the Multi-Criteria Spanning Tree Problem,” in Proceedings of the Genetic and Evolutionary Computation Conference, 2019, pp. 516–523, doi: 10.1145/3321707.3321818.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48858
J. Bossek and C. Grimme, “Solving Scalarized Subproblems within Evolutionary Algorithms for Multi-criteria Shortest Path Problems,” in Learning and Intelligent Optimization, 2019, pp. 184–198, doi: 10.1007/978-3-030-05348-2_17.
LibreCat
| DOI
2019 | Conference Paper | LibreCat-ID: 48875
J. Bossek and H. Trautmann, “Multi-Objective Performance Measurement: Alternatives to PAR10 and Expected Running Time,” in Learning and Intelligent Optimization, 2019, pp. 215–219, doi: 10.1007/978-3-030-05348-2_19.
LibreCat
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