Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten .” In VDI-Berichte 2391, 197–210. Düsseldorf: VDI Verlag GmbH, 2021.
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Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “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), n.d.
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Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.”https://doi.org/10.36001/phme.2021.v6i1.3042__In Proceedings of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve King, and Olga Fink, 6:527–36, 2021.https://doi.org/10.36001/phme.2021.v6i1.3042 .
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Bossek, Jakob, and Heike Trautmann. “Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers.”https://doi.org/10.1007/978-3-319-50349-3_4__In Learning and Intelligent Optimization, edited by Paola Festa, Meinolf Sellmann, and Joaquin Vanschoren, 48–59. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016.https://doi.org/10.1007/978-3-319-50349-3_4 .
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Kimotho, James Kuria, and Walter 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, Vol. 5, 2014.
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Nallaperuma, Samadhi, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, and Heike Trautmann. “A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem.”https://doi.org/10.1145/2460239.2460253__In Proceedings of the Twelfth Workshop on Foundations of Genetic Algorithms XII, 147–160. FOGA XII ’13. New York, NY, USA: Association for Computing Machinery, 2013.https://doi.org/10.1145/2460239.2460253 .
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Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, and Frank Neumann. “A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesperson Problem.”https://doi.org/10.1007/s10472-013-9341-2__Annals of Mathematics and Artificial Intelligence 69, no. 2 (2013): 151–182.https://doi.org/10.1007/s10472-013-9341-2 .
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DOI: 10.1007/s10472-013-9341-2

Mersmann, Olaf, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, and Frank 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, 115–129. LION 6. Berlin, Heidelberg: Springer-Verlag, 2012.
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