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8 Publications
2021 | Conference Paper | LibreCat-ID: 27652
O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ,” in VDI-Berichte 2391, Würzburg, 2021, pp. 197–210.
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2021 | Conference Paper | LibreCat-ID: 22507 | 
O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time series features as health indicators for technical systems operating under varying conditions,” presented at the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).
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2021 | Conference Paper | LibreCat-ID: 27111 |
O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based Diagnostics of a Production Line,” in Proceedings of the European Conference of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.
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2016 | Conference Paper | LibreCat-ID: 48873
J. Bossek and H. Trautmann, “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers,” in Learning and Intelligent Optimization, 2016, pp. 48–59, doi: 10.1007/978-3-319-50349-3_4.
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| DOI
2014 | Conference Paper | LibreCat-ID: 9880
J. K. Kimotho and W. Sextro, “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, 2014, vol. 5.
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2013 | Conference Paper | LibreCat-ID: 46388
S. Nallaperuma, M. Wagner, F. Neumann, B. Bischl, O. Mersmann, and H. Trautmann, “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, 2013, pp. 147–160, doi: 10.1145/2460239.2460253.
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2013 | Journal Article | LibreCat-ID: 48889
O. Mersmann, B. Bischl, H. Trautmann, M. Wagner, J. Bossek, and F. Neumann, “A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesperson Problem,” Annals of Mathematics and Artificial Intelligence, vol. 69, no. 2, pp. 151–182, 2013, doi: 10.1007/s10472-013-9341-2.
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2012 | Conference Paper | LibreCat-ID: 48890
O. Mersmann, B. Bischl, J. Bossek, H. Trautmann, M. Wagner, and F. Neumann, “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, 2012, pp. 115–129.
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