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Platzner, M., &; Plessl, C. (2019). FPGAs im Rechenzentrum. Informatik Spektrum.https://doi.org/10.1007/s00287-019-01187-w 
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Kaul, T., Bender, A., &; Sextro, W. (2019). Digital Twin for Reliability Analysis During Design and Operation of Mechatronic Systems. In M. Beer &; E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL2019) (Issue 29, pp. 2340–2347).
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Deppe, M., Henksmeier, T., Gerlach, J. W., Reuter, D., &; As, D. J. (2019). Molecular Beam Epitaxy Growth and Characterization of GermaniumDoped Cubic Al                          x                        Ga            1                          x                        N. Physica Status Solidi (b), Article 1900532.https://doi.org/10.1002/pssb.201900532 
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Rüsing, M., Zhao, J., &; Mookherjea, S. (2019). Second harmonic microscopy of poled x-cut thin film lithium niobate: Understanding the contrast mechanism. Journal of Applied Physics, 126(11), Article 114105.https://doi.org/10.1063/1.5113727 
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Meusel, S., Abendroth, S., Hoeft, M., &; Albers, T. (2019). Leitfaden zur Gestaltung von Zugängen.
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Gburrek, T., Glarner, T., Ebbers, J., Haeb-Umbach, R., &; Wagner, P. (2019). Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion. Proc. 10th ISCA Speech Synthesis Workshop, 81–86.https://doi.org/10.21437/SSW.2019-15 
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Ebbers, J., &; Haeb-Umbach, R. (2019). Convolutional Recurrent Neural Network and Data Augmentation for Audio Tagging with Noisy Labels and Minimal Supervision. DCA Workshop, New York, USA.
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Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., &; Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies.
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Nelus, A., Ebbers, J., Haeb-Umbach, R., &; Martin, R. (2019). Privacy-preserving Variational Information Feature Extraction for Domestic Activity Monitoring Versus Speaker Identification. INTERSPEECH 2019, Graz, Austria.
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