Y. Acar, M. Backes, S. Bugiel, S. Fahl, P. McDaniel, and M. Smith, “SoK: Lessons Learned from Android Security Research for Appified Software Platforms,”10.1109/sp.2016.33__2016, doi:10.1109/sp.2016.33 .
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DOI: 10.1109/sp.2016.33

A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework,”10.1007/978-3-319-50349-3_3__in LION 2016: Learning and Intelligent Optimization, 2016, vol. 10079, pp. 32–47, doi:10.1007/978-3-319-50349-3_3 .
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DOI: 10.1007/978-3-319-50349-3_3

G. Rudolph, O. Schütze, and H. Trautmann, “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front,” in Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, G. Squillero and P. Burelli, Eds. Cham: Springer International Publishing, 2016, pp. 42–55.
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DOI: 10.1007/978-3-319-31153-1_4

J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers,”10.1007/978-3-319-50349-3_4__in Learning and Intelligent Optimization, 2016, vol. 10079, pp. 48–59, doi:10.1007/978-3-319-50349-3_4 .
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DOI: 10.1007/978-3-319-50349-3_4

J. Bossek and H. Trautmann, “Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference,”10.1007/978-3-319-49130-1_1__in AI*IA 2016 Advances in Artificial Intelligence, 2016, vol. 10037, pp. 3–12, doi:10.1007/978-3-319-49130-1_1 .
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DOI: 10.1007/978-3-319-49130-1_1

P. Kerschke et al., “Towards Analyzing Multimodality of Multiobjective Landscapes,”10.1007/978-3-319-45823-6_90__in Proceedings of the 14$^th$ International Conference on Parallel Problem Solving from Nature (PPSN XIV), 2016, pp. 962–972, doi:10.1007/978-3-319-45823-6_90 .
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DOI: 10.1007/978-3-319-45823-6_90

P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models,”10.1145/2908812.2908845__in Proceedings of the 18$^th$ Annual Conference on Genetic and Evolutionary Computation, 2016, pp. 229–236, doi:10.1145/2908812.2908845 .
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DOI: 10.1145/2908812.2908845

G. Rudolph, O. Schütze, C. Grimme, C. Domínguez-Medina, and H. Trautmann, “Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results,”10.1007/s10589-015-9815-8__Computational Optimization and Applications (Comput. Optim. Appl.), vol. 64, no. 2, pp. 589–618, 2016, doi:10.1007/s10589-015-9815-8 .
LibreCat: /record/46371
DOI: 10.1007/s10589-015-9815-8

O. Schütze, H. V. Sosa, H. Trautmann, and G. Rudolph, “The Hypervolume based Directed Search Method for Multi-Objective Optimization Problems,”10.1007/s10732-016-9310-0__Journal of Heuristics, vol. 22, no. 3, pp. 273–300, 2016, doi:10.1007/s10732-016-9310-0 .
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DOI: 10.1007/s10732-016-9310-0

P. Kerschke and H. Trautmann, “The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems,”10.1109/CEC.2016.7748359__2016, doi:10.1109/CEC.2016.7748359 .
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DOI: 10.1109/CEC.2016.7748359

F. Neumann and H. Trautmann, “Working Group Report: Bridging the Gap Between Experiments and Theory Using Feature-Based Run-Time Analysis; Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211),”10.4230/DagRep.5.5.57__Dagstuhl Reports, vol. 5, no. 5, pp. 78–79, 2016, doi:10.4230/DagRep.5.5.57 .
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DOI: 10.4230/DagRep.5.5.57

I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical analysis and detecting            attributes of convincingness in Web argumentation,”10.18653/v1/d16-1129__2016, doi:10.18653/v1/d16-1129 .
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DOI: 10.18653/v1/d16-1129

J. Schmalenstroeer and R. Haeb-Umbach, “Investigations into Bluetooth Low Energy Localization Precision Limits,” 2016.
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Y. Acar, M. Backes, S. Fahl, D. Kim, M. L. Mazurek, and C. Stransky, “You Get Where You’re Looking for: The Impact of Information Sources on Code Security,”10.1109/sp.2016.25__2016, doi:10.1109/sp.2016.25 .
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DOI: 10.1109/sp.2016.25

S. Dechand, D. Schürmann, K. Busse, Y. Acar, S. Fahl, and M. Smith, “An Empirical Study of Textual Key-Fingerprint Representations,” in 25th USENIX Security Symposium, USENIX Security 16, Austin, TX, USA, August 10-12, 2016, 2016, pp. 193–208.
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J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers,”10.1007/978-3-319-50349-3_4__in Learning and Intelligent Optimization, 2016, pp. 48–59, doi:10.1007/978-3-319-50349-3_4 .
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DOI: 10.1007/978-3-319-50349-3_4

J. Hilgert, “Schwierigkeiten beim Übergang von Schule zu Hochschule im zeitlichen Vergleich - Ein Blick auf Defizite beim Erwerb von Schlüsselkompetenzen,” in Lehren und Lernen von Mathematik in der Studieneingangsphase, A. Hoppenbrock and et al., Eds. Springer Spektrum, 2016.
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J. Hilgert, A. Pasquale, and T. Przebinda, “Resonances for the Laplacian: the cases B and  (except SO(p,2) with p&;2 odd),” in Geometric Methods in Physics, P. Kielanowski and et al., Eds. Birkhäuser, 2016.
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J. Hilgert, Ed., Mathematische Strukturen. Springer Spektrum, 2016.
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S. Borgwardt, T. Mailis, R. Peñaloza, and A.-Y. Turhan, “Answering Fuzzy Conjunctive Queries Over Finitely Valued Fuzzy Ontologies,”10.1007/s13740-015-0055-y__Journal on Data Semantics, vol. 5, no. 2, pp. 55–75, 2016, doi:10.1007/s13740-015-0055-y .
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DOI: 10.1007/s13740-015-0055-y