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A. Boschmann, S. Dosen, A. Werner, A. Raies, and D. Farina, “A novel immersive augmented reality system for prosthesis training and assessment,” in Proc. IEEE Int. Conf. Biomed. Health Informatics (BHI), 2016.
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T. Graf and M. Platzner, “Adaptive playouts for online learning of policies during Monte Carlo Tree Search,” Journal Theoretical Computer Science, vol. 644, pp. 53–62, 2016.
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J. Horstmann, Beschleunigte Simulation elektrischer Stromnetze mit GPUs. Paderborn University, 2016.
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C. Ma, P. Kaufmann, J.-C. Töbermann, and M. Braun, “Optimal Generation Dispatch of Distributed Generators Considering Fair Contribution to Grid Voltage Control,” Renewable Energy, vol. 87, no. (part 2), pp. 946–953, 2016.
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V. Makeswaran, Operating System Support for Reconfigurable Cache. Paderborn University, 2016.
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I. Ibne Ashraf, Private/Shared Data Classification and Implementation for a Multi-Softcore Platform. Paderborn University, 2016.
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S. Meisner and M. Platzner, “Thread Shadowing: On the Effectiveness of Error Detection at the Hardware Thread Level,” in Reconfigurable Computing and FPGAs (ReConFig), 2016 International Conference on, 2016, pp. 1–8.
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M. Schmidt, Konzeption und Implementierung einer digitalen Ansteuerung für den Betrieb einer elektrischen Sendereinheit für induktive Energieübertragung. Paderborn University, 2016.
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G. Squillero et al., Applications of Evolutionary Computation - 19th European Conference, EvoApplications, vol. 9597. Springer, 2016.
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I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “RCo-Design: New Visual Environment for Reconfigurable Embedded Systems,” in Proceedings of the 30th European Simulation and Modelling Conference (ESM), 2016.
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I. Ghribi, R. Ben Abdallah, M. Khalgui, and M. Platzner, “New Co-design Methodology for Real-time Embedded Systems,” in Proceedings of the 11th International Conference on Software Engineering and Applications (ICSOFT-EA), 2016, pp. 185–195.
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H. Ghasemzadeh Mohammadi, P.-E. Gaillardon, and G. De Micheli, “Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. PP, no. 99, pp. 1–1, 2016.
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S. Hermansen, Custom Memory Controller for ReconOS. Paderborn University, 2016.
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J. Fürnkranz and E. Hüllermeier, “Preference Learning,” in Encyclopedia of Machine Learning and Data Mining, C. Sammut and G. I. Webb, Eds. Springer, 2016.
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T. Handirk, Über die Rolle von Informationen in Verkehrsnetzwerken. Universität Paderborn, 2016.
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A. Chinaev and R. Haeb-Umbach, “A Priori SNR Estimation Using a Generalized Decision Directed Approach,” in INTERSPEECH 2016, San Francisco, USA, 2016.
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A. Chinaev, J. Heitkaemper, and R. Haeb-Umbach, “A Priori SNR Estimation Using Weibull Mixture Model,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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A. Chinaev, J. Heymann, L. Drude, and R. Haeb-Umbach, “Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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L. Drude, C. Boeddeker, and R. Haeb-Umbach, “Blind Speech Separation based on Complex Spherical k-Mode Clustering,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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L. Drude, B. Raj, and R. Haeb-Umbach, “On the appropriateness of complex-valued neural networks for speech enhancement,” in INTERSPEECH 2016, San Francisco, USA, 2016.
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T. Glarner, M. Mahdi Momenzadeh, L. Drude, and R. Haeb-Umbach, “Factor Graph Decoding for Speech Presence Probability Estimation,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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J. Heymann, L. Drude, and R. Haeb-Umbach, “Neural Network Based Spectral Mask Estimation for Acoustic Beamforming,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
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F. Jacob and R. Haeb-Umbach, “On the Bias of Direction of Arrival Estimation Using Linear Microphone Arrays,” in 12. ITG Fachtagung Sprachkommunikation (ITG 2016), 2016.
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J. Heymann, L. Drude, and R. Haeb-Umbach, “Wide Residual BLSTM Network with Discriminative Speaker Adaptation for Robust Speech Recognition,” in Computer Speech and Language, 2016.
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K. Kinoshita et al., “A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research,” EURASIP Journal on Advances in Signal Processing, 2016.
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A. Plinge, F. Jacob, R. Haeb-Umbach, and G. A. Fink, “Acoustic Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art algorithms,” IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 14–29, 2016.
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T. Isenberg, Induction-based Verification of Timed Systems. Universität Paderborn, 2016.
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T. Menne et al., “The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation,” in Computer Speech and Language, 2016.
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O. Walter and R. Haeb-Umbach, “Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models,” in 38th German Conference on Pattern Recognition (GCPR 2016), 2016.
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J. Blobel, C. Sommer, and F. Dressler, “Protocol options for low power sensor network MAC using wake-up receivers with duty cycling,” in 2016 IEEE International Conference on Communications (ICC), 2016.
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C. Campolo, C. Sommer, F. Dressler, and A. Molinaro, “On the impact of adjacent channel interference in multi-channel VANETs,” in 2016 IEEE International Conference on Communications (ICC), 2016.
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C. Campolo, L. Cheng, C. Sommer, and H.-M. (Michael) Tsai, “Special Issue on Multi-radio, Multi-technology, Multi-system Vehicular Communications,” Computer Communications, pp. 1–2, 2016.
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F. Hagenauer, C. Sommer, S. Merschjohann, T. Higuchi, F. Dressler, and O. Altintas, “Cars as the base for service discovery and provision in highly dynamic networks,” in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016.
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F. Hagenauer, C. Sommer, R. Onishi, M. Wilhelm, F. Dressler, and O. Altintas, “Interconnecting smart cities by vehicles: How feasible is it?,” in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016.
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F. Hagenauer, F. Dressler, O. Altintas, and C. Sommer, “Cars as a main ICT resource of smart cities,” in Smart Cities and Homes, 2016.
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F. Klingler, F. Dressler, and C. Sommer, “IEEE 802.11p unicast considered harmful,” in 2015 IEEE Vehicular Networking Conference (VNC), 2016.
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A. Memedi, F. Hagenauer, F. Dressler, and C. Sommer, “Cluster-based transmit power control in heterogeneous vehicular networks,” in 2015 IEEE Vehicular Networking Conference (VNC), 2016.
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K. Bernhardt, Zertifikate als Qualitätssignal – Wie die Zertifizierung von Produkten und Verkäufern das Vertrauen von Kunden im Onlinehandel beeinflussen. Universität Paderborn, 2016.
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M. Beutner and J. Schneider, Handbuch für Lehrkräfte. Ein Handbuch zur Nutzung des SEEL-Online-Course-Creators. Paderborn: IK Verlag, 2016.
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A. Schmidt, Wie entsteht Kreativität? Ein Überblick über vergleichende Studien zu verschiedenen Formen des Brainstormings. Universität Paderborn, 2016.
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A. M. Komprecht and D. Röwenstrunk, “Projektmanagement in digitalen Forschungsprojekten,” in eEi, dem alten Herrn zoll9 ich Achtung gern“, Allitera Verlag, München, 2016.
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P. R. Lewis, M. Platzner, B. Rinner, J. Tørresen, and X. Yao, Eds., Self-aware Computing Systems: An Engineering Approach. Cham: Springer, 2016.
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M. Kampmann and S. Hellebrand, “X Marks the Spot: Scan-Flip-Flop Clustering for Faster-than-at-Speed Test,” in 25th IEEE Asian Test Symposium (ATS’16), 2016, pp. 1–6.
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J. Kaczorkowski, Wettbewerb im Internet - Eine wettbewerbspolitische Analyse des E-Commerce. Universität Paderborn, 2016.
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J. König, Shared Resource Scheduling with Interconnected Services. Universität Paderborn, 2016.
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A. Cord-Landwehr, Selfish Network Creation - On Variants of Network Creation Games, vol. 353. Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn, 2016.
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C. Labreuche, E. Hüllermeier, P. Vojtas, and A. Fallah Tehrani, “On the identifiability of models  in multi-criteria preference learning,” in in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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D. Schäfer and E. Hüllermeier, “Preference -based reinforcement learning using dyad ranking,” in in Proceedings DPL16 Euro Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn, Germany, 2016.
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I. Couso, M. Ahmadi Fahandar, and E. Hüllermeier, “Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators,” in in Proceedings DPL 2016 EURO Mini Conference From Multiple Criteria Decision Aid to Preference Learning, Paderborn Germany, 2016.
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