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8 Publications
2021 | Conference Paper | LibreCat-ID: 27652
Aimiyekagbon OK, Bender A, Sextro W. Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten . In: VDI-Berichte 2391. VDI Verlag GmbH; 2021:197-210.
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2021 | Conference Paper | LibreCat-ID: 22507 | 
Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features as health indicators for technical systems operating under varying conditions. In: Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).
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2021 | Conference Paper | LibreCat-ID: 27111 |
Aimiyekagbon OK, Muth L, Wohlleben MC, Bender A, Sextro W. Rule-based Diagnostics of a Production Line. In: Do P, King S, Fink O, eds. Proceedings of the European Conference of the PHM Society 2021. Vol 6. ; 2021:527-536. doi:10.36001/phme.2021.v6i1.3042
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2016 | Conference Paper | LibreCat-ID: 48873
Bossek J, Trautmann H. Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. In: Festa P, Sellmann M, Vanschoren J, eds. Learning and Intelligent Optimization. Lecture Notes in Computer Science. Springer International Publishing; 2016:48–59. doi:10.1007/978-3-319-50349-3_4
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| DOI
2014 | Conference Paper | LibreCat-ID: 9880
Kimotho JK, Sextro W. An approach for feature extraction and selection from non-trending data for machinery prognosis. In: Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014. Vol 5. ; 2014.
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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 | Journal Article | LibreCat-ID: 48889
Mersmann O, Bischl B, Trautmann H, Wagner M, Bossek J, Neumann F. A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesperson Problem. Annals of Mathematics and Artificial Intelligence. 2013;69(2):151–182. doi:10.1007/s10472-013-9341-2
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| DOI
2012 | Conference Paper | LibreCat-ID: 48890
Mersmann O, Bischl B, Bossek J, Trautmann H, Wagner M, Neumann F. Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness. In: Revised Selected Papers of the 6th International Conference on Learning and Intelligent Optimization - Volume 7219. LION 6. Springer-Verlag; 2012:115–129.
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