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26 Publications
2023 | Journal Article | LibreCat-ID: 46310
Heins J, Bossek J, Pohl J, Seiler M, Trautmann H, Kerschke P. A study on the effects of normalized TSP features for automated algorithm selection. Theoretical Computer Science. 2023;940:123-145. doi:https://doi.org/10.1016/j.tcs.2022.10.019
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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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2020 | Conference Paper | LibreCat-ID: 16933 |
Gottschalk S, Rittmeier F, Engels G. Hypothesis-driven Adaptation of Business Models based on Product Line Engineering. In: Proceedings of the 22nd IEEE International Conference on Business Informatics. IEEE; 2020. doi:10.1109/CBI49978.2020.00022
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2020 | Conference Paper | LibreCat-ID: 48897
Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Parallel Problem Solving from {Nature} (PPSN XVI). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4
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2019 | Conference Paper | LibreCat-ID: 15488
Thiel C, Steidl C, Henning B. P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In: AMA Service GmbH, ed. 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf; 2019. doi:10.5162/SENSOREN2019/P2.9
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2019 | Conference Paper | LibreCat-ID: 13138 |
Gottschalk S, Rittmeier F, Engels G. Intertwined Development of Business Model and Product Functions for Mobile Applications: A Twin Peak Feature Modeling Approach. In: Hyrynsalmi S, Suoranta M, Nguyen-Duc A, Tyrväinen P, Abrahamsson P, eds. Software Business. Vol 370. Lecture Notes in Business Information Processing. Cham: Springer International Publishing; 2019:192-207. doi:10.1007/978-3-030-33742-1_16
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2018 | Journal Article | LibreCat-ID: 2331
Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12
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2016 | Conference Paper | LibreCat-ID: 15873
Boschmann A, Agne A, Witschen LM, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2016. doi:10.1109/reconfig.2015.7393312
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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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2015 | Conference Paper | LibreCat-ID: 11813 |
Heymann J, Haeb-Umbach R, Golik P, Schlueter R. Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. In: Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference On. ; 2015:5053-5057. doi:10.1109/ICASSP.2015.7178933
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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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2014 | Journal Article | LibreCat-ID: 11861
Leutnant V, Krueger A, Haeb-Umbach R. A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2014;22(1):95-109. doi:10.1109/TASLP.2013.2285480
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2013 | Conference Paper | LibreCat-ID: 11716
Abdelaziz AH, Zeiler S, Kolossa D, Leutnant V, Haeb-Umbach R. GMM-based significance decoding. In: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. ; 2013:6827-6831. doi:10.1109/ICASSP.2013.6638984
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2013 | Journal Article | LibreCat-ID: 11862
Leutnant V, Krueger A, Haeb-Umbach R. Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing. 2013;21(8):1640-1652. doi:10.1109/TASL.2013.2258013
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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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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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2012 | Conference Paper | LibreCat-ID: 11864 |
Leutnant V, Krueger A, Haeb-Umbach R. A Statistical Observation Model For Noisy Reverberant Speech Features and its Application to Robust ASR. In: Signal Processing, Communications and Computing (ICSPCC), 2012 IEEE International Conference On. ; 2012.
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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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