Evolvable caches: Optimization of reconfigurable cache mappings for a LEON3/Linux-based multi-core processor
N. Ho, P. Kaufmann, M. Platzner, in: 2017 International Conference on Field Programmable Technology (ICFPT), 2017, pp. 215–218.
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DOI: 10.1109/FPT.2017.8280144

Computational self-awareness as design approach for visual sensor nodes
Z. Guettatfi, P. Hübner, M. Platzner, B. Rinner, in: 12th International Symposium on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC), 2017, pp. 1–8.
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Mathematics-related Competence of Early Childhood Teachers Visiting a Continuous Professional Development Course: An Intervention Study
J. Bruns, L. Eichen, H. Gasteiger, Mathematics Teacher Education and Development (MTED) 19 (2017) 76–93.
LibreCat: /record/36481

How to Complete Customer Requirements: Using Concept Expansion for Requirement Refinement
M. Geierhos, F.S. Bäumer, in: E. Métais, F. Meziane, M. Saraee, V. Sugumaran, S. Vadera (Eds.), Proceedings of the 21st International Conference on Applications of Natural Language to Information Systems (NLDB), Springer, Cham, Switzerland, 2016, pp. 37–47.
LibreCat: /record/191
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The crucial first year: a longitudinal study of students’ motivational development at a Swiss Business School
T. Brahm, T. Jenert, D. Wagner, Higher Education 73 (2016) 459–478.
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Contrasting Risk Perceptions of Technology-Based Service Innovations in Inter-Organizational Settings.
S. Paluch, N. Wünderlich, Journal of Business Research 69 (2016) 2424--2431.
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Aspects of Flexible Viscoelastic Suspension Modeling for Frictional Rolling Contact Analysis using ADAMS
S. Kohl, W. Sextro, S. Schulze, in: The 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV 2016), Cyberjaya, Malaysia, 2016., Cyberjaya, Malaysia, 2016, 2016, pp. 1–12.
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Using Adequate Reduced Models for Flexible Multibody Systems of Automotive Mechatronic Systems
S. Schulze, W. Sextro, S. Kohl, in: 2nd International Conference on Automotive Innovation and Green Energy Vehicle (AiGEV) Malaysia 2016, 2016, pp. 1–11.
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A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory
E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.
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Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement
J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery, New York, NY, USA, 2015, pp. 1319–1326.
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System Thinking: Crafting Scenarios for Prescriptive Analytics
J. Weber, C. Minhee, M. Lee, S. Song, M. Geierhos, H. Jung, in: H. Jung, T. Mandl, C. Womsen-Hacker, S. Xu (Eds.), Proceedings of the First International Workshop on Patent Mining and Its Applications (IPaMin 2014) Co-Located with Konvens 2014, CEUR-WS.org, 2014.
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The crucial first year: The development of students' motivation at a Business School-a Mixed Methods Study
T. Brahm, T. Jenert, in: 2014.
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Wie kann über DBR die wissenschaftliche und praktische Relevanz der Forschung gesichert werden?
T. Brahm, T. Jenert, in: Humboldt-Universität, 2014.
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Improving the bond quality of copper wire bonds using a friction model approach
S. Althoff, J. Neuhaus, T. Hemsel, W. Sextro, in: Electronic Components and Technology Conference (ECTC), 2014 IEEE 64th, 2014, pp. 1549–1555.
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DOI: 10.1109/ECTC.2014.6897500

PEM fuel cell prognostics using particle filter with model parameter adaptation
J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management (PHM), 2014 IEEE Conference On, 2014, pp. 1–6.
LibreCat: /record/9879
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An approach for feature extraction and selection from non-trending data for machinery prognosis
J.K. Kimotho, W. Sextro, in: Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014, 2014.
LibreCat: /record/9880

Experimental and Numerical Simulation Study of Pre-Deformed Heavy Copper Wire Wedge Bonds
A. Unger, W. Sextro, S. Althoff, P. Eichwald, T. Meyer, F. Eacock, M. Brökelmann, in: Proceedings of the 47th International Symposium on Microelectronics (IMAPS), San Diego, CA, US, 2014, pp. 289–294.
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Towards Online Source Counting in Speech Mixtures Applying a Variational EM for Complex Watson Mixture Models
L. Drude, A. Chinaev, D.H. Tran Vu, R. Haeb-Umbach, in: 14th International Workshop on Acoustic Signal Enhancement (IWAENC 2014), 2014, pp. 213–217.
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A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (2014) 95–109.
LibreCat: /record/11861
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An Overview of Noise-Robust Automatic Speech Recognition
J. Li, L. Deng, Y. Gong, R. Haeb-Umbach, IEEE Transactions on Audio, Speech and Language Processing 22 (2014) 745–777.
LibreCat: /record/11867
DOI: 10.1109/TASLP.2014.2304637