Shaker, A., &; Hüllermeier, E. (2013). Recovery analysis for adaptive learning from non-stationary data streams. In R. Burduk, K. Jackowski, M. Kurzynski, W. Wozniak, &; A. Zolnierek (Eds.), in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland (pp. 289–298). Springer.
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Graf, T., Schäfers, L., &; Platzner, M. (2013). On Semeai Detection in Monte-Carlo Go. In Proceedings of the International Conference on Computers and Games (CG). Springer.
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Mischkalla, F., &; Müller, W. (2013). Efficient Power-Intent Validation Using “Loosely-Timed”https://doi.org/10.1109/PATMOS.2013.6662171__Simulation Models: A Non-Invasive Approach. 23rd International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS).https://doi.org/10.1109/PATMOS.2013.6662171 
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He, D., &; Müller, W. (2013). An Energy-Efficient Heuristic for Hard Real-Time System on Multi-Core Processors. In H. Weghorn (Ed.), Proceedings of the International Conference on Applied Computing (AC).
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Gharibian, S. (2013). Approximation, Proof Systems, and Correlations in a Quantum World.
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Gharibian, S., Sikora, J., &; Upadhyay, S. (2013). QMA variants with polynomially many provers. Quantum Information &; Computation, 13(1–2), 135–157.
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arXiv: 1108.0617

Riebler, H., Kenter, T., Sorge, C., &; Plessl, C. (2013). FPGA-accelerated Key Search for Cold-Boot Attacks against AES. Proceedings of the International Conference on Field-Programmable Technology (FPT), 386–389.https://doi.org/10.1109/FPT.2013.6718394 
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Happe, M., Kling, P., Plessl, C., Platzner, M., &; Meyer auf der Heide, F. (2013). On-The-Fly Computing: A Novel Paradigm for Individualized IT Services. Proceedings of the 9th IEEE Workshop on Software Technology for Future Embedded and Ubiquitous Systems (SEUS).https://doi.org/10.1109/ISORC.2013.6913232 
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Suess, T., Schoenrock, A., Meisner, S., &; Plessl, C. (2013). Parallel Macro Pipelining on the Intel SCC Many-Core Computer. Proc. Int. Symp. on Parallel and Distributed Processing Workshops (IPDPSW), 64–73.https://doi.org/10.1109/IPDPSW.2013.136 
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Sosa, H. V., Schütze, O., Rudolph, G., &; Trautmann, H. (2013). The Directed Search Method for Pareto Front Approximations with Maximum Dominated Hypervolume. In M. Emmerich, A. Deutz, O. Schuetze, T. Bäck, A. Tantar, P. Moral, P. Legrand, P. Bouvry, &; C. Coello (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV (Vol. 227, pp. 189–205). Springer International Publishing.https://doi.org/10.1007/978-3-319-01128-8_13 
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Trautmann, H., Rudolph, G., Dominguez-Medina, C., &; Schütze, O. (2013). Finding Evenly Spaced Pareto Fronts for Three-Objective Optimization Problems. In O. Schütze, C. C. Coello, A. Tantar, E. Tantar, P. Bouvry, M. P. Del, &; P. Legrand (Eds.), EVOLVE — A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II (Vol. 175, pp. 89–105). Springer Berlin Heidelberg.https://doi.org/10.1007/978-3-642-31519-0_6 
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DOI: 10.1007/978-3-642-31519-0_6

Nallaperuma, S., Wagner, M., Neumann, F., Bischl, B., Mersmann, O., &; Trautmann, H. (2013). A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem. Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 147–160.https://doi.org/10.1145/2460239.2460253 
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Rudolph, G., Trautmann, H., Sengupta, S., &; Schütze, O. (2013). Evenly Spaced Pareto Front Approximations for Tricriteria Problems Based on Triangulation. In R. Purshouse, P. Fleming, C. Fonseca, S. Greco, &; J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization — 7$^th$ International Conference, EMO 2013, Sheffield, UK, Proceedings (Vol. 7811, pp. 443–458). Springer.https://doi.org/10.1007/978-3-642-37140-0_34 
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DOI: https://doi.org/10.1007/978-3-642-37140-0_34

Sosa-Hernandez, V., Schütze, O., Rudoph, G., &; Trautmann, H. (2013). Directed Search Method for Indicator-based Multi-objective Evolutionary Algorithms. Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion, 1699–1702.https://doi.org/10.1145/2464576.2482756 
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Dominguez-Medina, C., Rudolph, G., Schütze, O., &; Trautmann, H. (2013). Evenly spaced Pareto fronts of quad-objective problems using PSA partitioning technique. Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC), 3190–3197.https://doi.org/10.1109/CEC.2013.6557960 
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DOI: https://doi.org/10.1109/CEC.2013.6557960

Preuss, M., Kozakowski, D., Hagelbäck, J., &; Trautmann, H. (2013). Reactive strategy choice in StarCraft by means of Fuzzy Control. 2013 IEEE Conference on Computational Inteligence in Games (CIG), 1–8.https://doi.org/10.1109/CIG.2013.6633627 
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DOI: 10.1109/CIG.2013.6633627

Trautmann, H., Wagner, T., Biermann, D., &; Weihs, C. (2013). Indicator-based Selection in Evolutionary Multiobjective Optimization Algorithms Based On the Desirability Index. Journal of Multi-Criteria Decision Analysis, 20(5–6), 319–337.https://doi.org/10.1002/mcda.1503 
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DOI: https://doi.org/10.1002/mcda.1503

Wagner, T., Trautmann, H., &; Brockhoff, D. (2013). Preference Articulation by Means of the  Indicator. In R. C. Purshouse, P. J. Fleming, C. M. Fonseca, S. Greco, &; J. Shaw (Eds.), Evolutionary Multi-Criterion Optimization (pp. 81–95). Springer Berlin Heidelberg.
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Trautmann, H., Wagner, T., &; Brockhoff, D. (2013). -EMOA: Focused Multiobjective Search Using -Indicator-Based Selection. In G. Nicosia &; P. Pardalos (Eds.), Learning and Intelligent Optimization (pp. 70–74). Springer Berlin Heidelberg.
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Mersmann, O., Bischl, B., Trautmann, H., Wagner, M., Bossek, J., &; Neumann, F. (2013). A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem. Annals of Mathematics and Artificial Intelligence, 69, 151–182.
LibreCat: /record/46394