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9 Publications
2023 | Journal Article | LibreCat-ID: 45575
T. de los Arcos, H. Müller, C. Weinberger, and G. Grundmeier, “UV-enhanced environmental charge compensation in near ambient pressure XPS,” Journal of Electron Spectroscopy and Related Phenomena, vol. 264, no. 264, Art. no. 147317, 2023, doi: 10.1016/j.elspec.2023.147317.
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| DOI
2019 | Journal Article | LibreCat-ID: 20688
N. Hüther, D. T. Robinson, S. Sievers, and T. Hartmann-Wendels, “Paying for Performance in Private Equity: Evidence from Venture Capital Partnerships,” Management Science (VHB-JOURQUAL 3 Ranking A+), vol. 66, no. 4, pp. 1756–1782, 2019.
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2018 | Book Chapter | LibreCat-ID: 2322
F. S. Bäumer and M. Geierhos, “How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges,” in Proceedings of the 23rd International Conference on Natural Language and Information Systems, vol. 10859, M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, and F. Meziane, Eds. Cham, Switzerland: Springer, 2018, pp. 509–513.
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2016 | Journal Article | LibreCat-ID: 3376
A. Uhde, “Risk-taking incentives through excess variable compensation: Evidence from European banks,” The Quarterly Review of Economics and Finance, vol. 60, no. 5, pp. 12–28, 2016, doi: https://doi.org/10.1016/j.qref.2015.11.009.
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| DOI
2014 | Journal Article | LibreCat-ID: 11861
V. Leutnant, A. Krueger, and R. Haeb-Umbach, “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, vol. 22, no. 1, pp. 95–109, 2014.
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| DOI
2014 | Journal Article | LibreCat-ID: 11867 |

J. Li, L. Deng, Y. Gong, and R. Haeb-Umbach, “An Overview of Noise-Robust Automatic Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 22, no. 4, pp. 745–777, 2014.
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2006 | Conference Paper | LibreCat-ID: 11824 |

V. Ion and R. Haeb-Umbach, “An Inexpensive Packet Loss Compensation Scheme for Distributed Speech Recognition Based on Soft-Features,” in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), 2006, vol. 1, p. I.
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