Meisner, S., &; Platzner, M. (2015). Comparison of thread signatures for error detection in hybrid multi-cores. In Field Programmable Technology (FPT), 2015 International Conference on (pp. 212–215).https://doi.org/10.1109/FPT.2015.7393153 
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Meißner, R. (2015). Konzept und Implementation einer Benutzeroberfläche zur Generierung virtueller FPGAs. Universität Paderborn.
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Posewsky, T. (2015). Acceleration of Artificial Neural Networks on a Zynq Platform. Paderborn University.
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M. Mora, A., Squillero, G., Agapitos, A., Burelli, P., S. Bush, W., Cagnoni, S.,  Zhang (editors), M. (2015). Applications of Evolutionary Computation - 18th European Conference, EvoApplications (Vol. 9028). Copenhagen, Denmark: Springer.
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H.W. Leong, P., Amano, H., Anderson, J., Bertels, K., M.P. Cardoso, J., Diessel, O.,https://doi.org/10.1109/FPL.2015.7293747__Wang, Y. (2015). Significant papers from the first 25 years of the FPL conference. In Proceedings of the 25th International Conference on Field Programmable Logic and Applications (FPL) (pp. 1–3). Imperial College.https://doi.org/10.1109/FPL.2015.7293747 
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Ghribi, I., Ben Abdallah, R., Khalgui, M., &; Platzner, M. (2015). New Codesign Solutions for Modelling and Partitioning of Probabilistic Reconfigurable Embedded Software. In Proceedings of the 29th European Simulation and Modelling Conference (ESM).
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Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., &; De Micheli, G. (2015). From Defect Analysis to Gate-Level Fault Modeling of Controllable-Polarity Silicon Nanowires. IEEE Transactions on Nanotechnology, 14(6), 1117–1126.https://doi.org/10.1109/TNANO.2015.2482359 
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Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Zhang, J., De Micheli, G., Sanchez, E., &; Reorda, M. S. (2015). On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors. In 2015 IEEE Computer Society Annual Symposium on VLSI (pp. 491–496). IEEE.https://doi.org/10.1109/ISVLSI.2015.13 
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Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., &; De Micheli, G. (2015). Fault modeling in controllable polarity silicon nanowire circuits. In Proceedings of the 2015 Design, Automation &; Test in Europe Conference \'26; Exhibition (pp. 453–458). EDA Consortium.https://doi.org/10.7873/DATE.2015.0428 
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Guettatfi, Z., Kermia, O., &; Khouas, A. (2015). Over effective hard real-time hardware tasks scheduling and allocation. In 25th International Conference on Field Programmable Logic and Applications (FPL). Imperial College.https://doi.org/10.1109/FPL.2015.7293994 
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Chinaev, A., &; Haeb-Umbach, R. (2015). On Optimal Smoothing in Minimum Statistics Based Noise Tracking. In Interspeech 2015 (pp. 1785–1789).
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Despotovic, V., Walter, O., &; Haeb-Umbach, R. (2015). Semantic Analysis of Spoken Input using Markov Logic Networks. In INTERSPEECH 2015.
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Drude, L., Jacob, F., &; Haeb-Umbach, R. (2015). DOA-Estimation based on a Complex Watson Kernel Method. In 23th European Signal Processing Conference (EUSIPCO 2015).
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Heymann, J., Drude, L., Chinaev, A., &; Haeb-Umbach, R. (2015). BLSTM supported GEV Beamformer Front-End for the 3RD CHiME Challenge. In Automatic Speech Recognition and Understanding Workshop (ASRU 2015).
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Heymann, J., Haeb-Umbach, R., Golik, P., &; Schlueter, R. (2015). 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 (pp. 5053–5057).https://doi.org/10.1109/ICASSP.2015.7178933 
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Jacob, F., &; Haeb-Umbach, R. (2015). Absolute Geometry Calibration of Distributed Microphone Arrays in an Audio-Visual Sensor Network. ArXiv E-Prints.
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Li, J., Deng, L., Haeb-Umbach, R., &; Gong, Y. (2015). Robust Automatic Speech Recognition. Elsevier.
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Marchi, E., Schuller, B., Baron-Cohen, S., Golan, O., Boelte, S., Arora, P., &; Haeb-Umbach, R. (2015). Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages. In INTERSPEECH 2015.
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Walter, O., Drude, L., &; Haeb-Umbach, R. (2015). Source Counting in Speech Mixtures by Nonparametric Bayesian Estimation of an infinite Gaussian Mixture Model. In 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015).
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Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., &; Hammer, B. (2015). Autonomous Learning of Representations. KI - Kuenstliche Intelligenz, 1–13.http://dx.doi.org/10.1007/s13218-015-0372-1 
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DOI: http://dx.doi.org/10.1007/s13218-015-0372-1