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100 Publications


2016 | Conference Paper | LibreCat-ID: 9967
Schulze, S., Sextro, W., & Kohl, S. (2016). Using Adequate Reduced Models for Flexible Multibody Systems of Automotive Mechatronic Systems. In 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV) Malaysia 2016 (pp. 1–11).
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2015 | Conference Paper | LibreCat-ID: 48838
Bossek, J., Bischl, B., Wagner, T., & Rudolph, G. (2015). Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement. Proceedings of the Genetic and Evolutionary Computation Conference, 1319–1326. https://doi.org/10.1145/2739480.2754673
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2014 | Conference Paper | LibreCat-ID: 1134 | OA
Weber, J., Minhee, C., Lee, M., Song, S., Geierhos, M., & Jung, H. (2014). System Thinking: Crafting Scenarios for Prescriptive Analytics. In H. Jung, T. Mandl, C. Womsen-Hacker, & S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) co-located with Konvens 2014 (Vol. 1292). Hildesheim, Germany: CEUR-WS.org.
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2014 | Conference Paper | LibreCat-ID: 4474
Brahm, T., & Jenert, T. (2014). The crucial first year: The development of students’ motivation at a Business School-a Mixed Methods Study. Presented at the SIG4 Higher Education & SIG17 Qualitative and Quantitative Approaches to Learning and Instruction Earli SIG Conference 2014, Leuven.
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2014 | Conference Paper | LibreCat-ID: 9868
Althoff, S., Neuhaus, J., Hemsel, T., & Sextro, W. (2014). Improving the bond quality of copper wire bonds using a friction model approach. In Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th (pp. 1549–1555). https://doi.org/10.1109/ECTC.2014.6897500
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2014 | Conference Paper | LibreCat-ID: 9879
Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics using particle filter with model parameter adaptation. In Prognostics and Health Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406
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2014 | Conference Paper | LibreCat-ID: 9880
Kimotho, J. K., & Sextro, W. (2014). 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).
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2014 | Conference Paper | LibreCat-ID: 9895
Unger, A., Sextro, W., Althoff, S., Eichwald, P., Meyer, T., Eacock, F., & Brökelmann, M. (2014). Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds. In Proceedings of the 47th International Symposium on Microelectronics (IMAPS) (pp. 289–294). San Diego, CA, US.
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2014 | Conference Paper | LibreCat-ID: 11753 | OA
Drude, L., Chinaev, A., Tran Vu, D. H., & Haeb-Umbach, R. (2014). Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models. In 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014) (pp. 213–217).
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2014 | Journal Article | LibreCat-ID: 11861
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2014). 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, 22(1), 95–109. https://doi.org/10.1109/TASLP.2013.2285480
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2014 | Journal Article | LibreCat-ID: 11867 | OA
Li, J., Deng, L., Gong, Y., & Haeb-Umbach, R. (2014). An Overview of Noise-Robust Automatic Speech Recognition. IEEE Transactions on Audio, Speech and Language Processing, 22(4), 745–777. https://doi.org/10.1109/TASLP.2014.2304637
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2013 | Journal Article | LibreCat-ID: 5113
Heinrichs, N., Hess, D., Homburg, C., Lorenz, M., & Sievers, S. (2013). Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions. Contemporary Accounting Research (VHB-JOURQUAL 3 Ranking A), 30(1), 42–79. https://doi.org/10.2139/ssrn.1145201
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2013 | Journal Article | LibreCat-ID: 5192
Klobucnik, J., & Sievers, S. (2013). Valuing high technology growth firms. Journal of Business Economics (VHB-JOURQUAL 3 Ranking B), 83(9), 947–984. https://doi.org/10.1007/s11573-013-0684-2
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2013 | Conference Paper | LibreCat-ID: 11740 | OA
Chinaev, A., & Haeb-Umbach, R. (2013). MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 3352–3356). https://doi.org/10.1109/ICASSP.2013.6638279
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2013 | Journal Article | LibreCat-ID: 11862
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 21(8), 1640–1652. https://doi.org/10.1109/TASL.2013.2258013
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2013 | Conference Paper | LibreCat-ID: 11917
Vu, D. H. T., & Haeb-Umbach, R. (2013). Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation. In 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013) (pp. 863–867). https://doi.org/10.1109/ICASSP.2013.6637771
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2012 | Conference Paper | LibreCat-ID: 22737
Becker, M., Luckey, M., & Becker, S. (2012). Model-driven Performance Engineering of Self-adaptive Systems: A Survey. In {Proceedings of the 8th International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)} (pp. 117–122). New York, NY, USA: ACM. https://doi.org/10.1145/2304696.2304716
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2012 | Conference Paper | LibreCat-ID: 9784
Hunstig, M., Hemsel, T., & Sextro, W. (2012). An efficient simulation technique for high-frequency piezoelectric inertia motors. In Ultrasonics Symposium (IUS), 2012 IEEE International (pp. 277–280). https://doi.org/10.1109/ULTSYM.2012.0068
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2012 | Conference Paper | LibreCat-ID: 11864 | OA
Leutnant, V., Krueger, A., & Haeb-Umbach, R. (2012). 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.
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2010 | Journal Article | LibreCat-ID: 11846 | OA
Krueger, A., & Haeb-Umbach, R. (2010). Model-Based Feature Enhancement for Reverberant Speech Recognition. IEEE Transactions on Audio, Speech, and Language Processing, 18(7), 1692–1707. https://doi.org/10.1109/TASL.2010.2049684
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