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5719 Publications
2013 | Conference Paper | LibreCat-ID: 13190
Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary data streams. In: Burduk R, Jackowski K, Kurzynski M, Wozniak W, Zolnierek A, eds. In Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland. Springer; 2013:289-298.
LibreCat
2013 | Conference Paper | LibreCat-ID: 13645
Graf T, Schäfers L, Platzner M. On Semeai Detection in Monte-Carlo Go. In: Proceedings of the International Conference on Computers and Games (CG). Springer; 2013.
LibreCat
2013 | Conference Paper | LibreCat-ID: 36919
Mischkalla F, Müller W. Efficient Power-Intent Validation Using “Loosely-Timed” Simulation Models: A Non-Invasive Approach. In: IEEE; 2013. doi:10.1109/PATMOS.2013.6662171
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| DOI
2013 | Conference Paper | LibreCat-ID: 36920
He D, Müller W. An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors. In: Weghorn H, ed. Proceedings of the International Conference on Applied Computing (AC). ; 2013.
LibreCat
2013 | Dissertation | LibreCat-ID: 8425 | 
Gharibian S. Approximation, Proof Systems, and Correlations in a Quantum World.; 2013.
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| arXiv
2013 | Journal Article | LibreCat-ID: 8173 |
Gharibian S, Sikora J, Upadhyay S. QMA variants with polynomially many provers. Quantum Information & Computation. 2013;13(1-2):135-157.
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| Download (ext.)
| arXiv
2013 | Conference Paper | LibreCat-ID: 528
Riebler H, Kenter T, Sorge C, Plessl C. FPGA-accelerated Key Search for Cold-Boot Attacks against AES. In: Proceedings of the International Conference on Field-Programmable Technology (FPT). IEEE; 2013:386-389. doi:10.1109/FPT.2013.6718394
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| Files available
| DOI
2013 | Conference Paper | LibreCat-ID: 505
Happe M, Kling P, Plessl C, Platzner M, Meyer auf der Heide F. On-The-Fly Computing: A Novel Paradigm for Individualized IT Services. In: Proceedings of the 9th IEEE Workshop on Software Technology for Future Embedded and Ubiquitous Systems (SEUS). IEEE; 2013. doi:10.1109/ISORC.2013.6913232
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| Files available
| DOI
2013 | Conference Paper | LibreCat-ID: 1787
Suess T, Schoenrock A, Meisner S, Plessl C. Parallel Macro Pipelining on the Intel SCC Many-Core Computer. In: Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW). IEEE Computer Society; 2013:64-73. doi:10.1109/IPDPSW.2013.136
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| DOI
2013 | Book Chapter | LibreCat-ID: 46385
Sosa HV, Schütze O, Rudolph G, Trautmann H. The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume. In: Emmerich M, Deutz A, Schuetze O, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Vol 227. Advances in Intelligent Systems and Computing. Springer International Publishing; 2013:189–205. doi:10.1007/978-3-319-01128-8_13
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| DOI
2013 | Book Chapter | LibreCat-ID: 46386
Trautmann H, Rudolph G, Dominguez-Medina C, Schütze O. Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. In: Schütze O, Coello CC, Tantar A, et al., eds. EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Vol 175. Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg; 2013:89–105. doi:10.1007/978-3-642-31519-0_6
LibreCat
| DOI
2013 | Conference Paper | LibreCat-ID: 46388
Nallaperuma S, Wagner M, Neumann F, Bischl B, Mersmann O, Trautmann H. A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem. In: Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII. FOGA XII ’13. Association for Computing Machinery; 2013:147–160. doi:10.1145/2460239.2460253
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| DOI
2013 | Conference Paper | LibreCat-ID: 46390
Rudolph G, Trautmann H, Sengupta S, Schütze O. Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. In: Purshouse R, Fleming P, Fonseca C, Greco S, Shaw J, eds. Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings. Vol 7811. Lecture Notes in Computer Science. Springer; 2013:443–458. doi:https://doi.org/10.1007/978-3-642-37140-0_34
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| DOI
2013 | Conference Paper | LibreCat-ID: 46391
Sosa-Hernandez V, Schütze O, Rudoph G, Trautmann H. Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms. In: Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion. GECCO ’13 Companion. ACM; 2013:1699–1702. doi:10.1145/2464576.2482756
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| DOI
2013 | Conference Paper | LibreCat-ID: 46387
Dominguez-Medina C, Rudolph G, Schütze O, Trautmann H. Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. In: Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC). ; 2013:3190–3197. doi:https://doi.org/10.1109/CEC.2013.6557960
LibreCat
| DOI
2013 | Conference Paper | LibreCat-ID: 46389
Preuss M, Kozakowski D, Hagelbäck J, Trautmann H. Reactive strategy choice in StarCraft by means of Fuzzy Control. In: 2013 IEEE Conference on Computational Inteligence in Games (CIG). ; 2013:1-8. doi:10.1109/CIG.2013.6633627
LibreCat
| DOI
2013 | Journal Article | LibreCat-ID: 46395
Trautmann H, Wagner T, Biermann D, Weihs C. Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index. Journal of Multi-Criteria Decision Analysis. 2013;20(5-6):319–337. doi:https://doi.org/10.1002/mcda.1503
LibreCat
| DOI
2013 | Conference Paper | LibreCat-ID: 46393
Wagner T, Trautmann H, Brockhoff D. Preference Articulation by Means of the R2 Indicator. In: Purshouse RC, Fleming PJ, Fonseca CM, Greco S, Shaw J, eds. Evolutionary Multi-Criterion Optimization. Springer Berlin Heidelberg; 2013:81–95.
LibreCat
2013 | Conference Paper | LibreCat-ID: 46392
Trautmann H, Wagner T, Brockhoff D. R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. In: Nicosia G, Pardalos P, eds. Learning and Intelligent Optimization. Springer Berlin Heidelberg; 2013:70–74.
LibreCat
2013 | Journal Article | LibreCat-ID: 46394
Mersmann O, Bischl B, Trautmann H, Wagner M, Bossek J, Neumann F. A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem. Annals of Mathematics and Artificial Intelligence. 2013;69:151–182.
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