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17398 Publications


2014 | Journal Article | LibreCat-ID: 26344
J. Sperling, W. Vogel, and G. S. Agarwal, “Quantum state engineering by click counting,” Physical Review A, 2014, doi: 10.1103/physreva.89.043829.
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2014 | Conference Paper | LibreCat-ID: 26541
R. Keil and C. Schild, “Hypothesengeleitete Gestaltung von Benutzungsoberfl{\"a}chen,” 2014, pp. 265–274.
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2014 | Journal Article | LibreCat-ID: 26914
G. Joslowski et al., “Dietary glycemic load, insulin load, and weight loss in obese, insulin resistant adolescents: RESIST study,” Clinical Nutrition, pp. 89–94, 2014, doi: 10.1016/j.clnu.2014.01.015.
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2014 | Report | LibreCat-ID: 20909
S. Becker et al., The MechatronicUML Design Method - Process and Language for Platform-Independent Modeling. 2014.
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2013 | Conference Paper | LibreCat-ID: 10634
A. Boschmann, B. Nofen, and M. Platzner, “Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes,” in Proc. IEEE Int. Conf. Eng. Med. Biolog. (EMBC), 2013.
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2013 | Journal Article | LibreCat-ID: 10684
P. Kaufmann, K. Glette, T. Gruber, M. Platzner, J. Torresen, and B. Sick, “Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers,” IEEE Transactions on Evolutionary Computation, vol. 17, no. 1, pp. 46–63, 2013.
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2013 | Mastersthesis | LibreCat-ID: 10730
H. Riebler, Identifikation und Wiederherstellung von kryptographischen Schlüsseln mit FPGAs. Paderborn University, 2013.
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2013 | Conference Paper | LibreCat-ID: 11740
A. Chinaev and R. Haeb-Umbach, “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), 2013, pp. 3352–3356.
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2013 | Conference Paper | LibreCat-ID: 11815
J. Heymann, O. Walter, R. Haeb-Umbach, and B. Raj, “Unsupervised Word Segmentation from Noisy Input,” in Automatic Speech Recognition and Understanding Workshop (ASRU 2013), 2013.
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2013 | Conference Paper | LibreCat-ID: 11841
K. Kinoshita et al., “The reverb challenge: a common evaluation framework for dereverberation and recognition of reverberant speech,” in IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.
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