NEW APPROACHES IN LIGHTWEIGHT DESIGN: V-MODEL OF LIGHTWEIGHT DESIGN BY COMPOSITES AS AN APPROACH OF INTER- AND TRANSDISCIPLINARY RESEARCH
B. Weiß, H. Ilona, A. lena Berscheid, S.D. Fischer, T. Tröster, in: 2018.
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DOI: WeiÃŸ-Borkowski, N.; Horwath, I.; Berscheid, A.-L.; TrÃ¶ster, T. (2018)

Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education
J. Gorges, P. Neumann, E. Wild, D. Stranghöner, B. Lütje-Klose, Learning and Individual Differences 61 (2018) 11–20.
LibreCat: /record/34498
DOI: 10.1016/j.lindif.2017.11.005

Welcome back to school: Aussprache in Klasse 5 prüfen
M. Bredenbröcker, C.A. Hahn, Englisch 5 - 10 41 (2018) 32–34.
LibreCat: /record/33301

Formulation of reliability-related objective functions for design of intelligent mechatronic systems
T. Kaul, T. Meyer, W. Sextro, SAGE Journals Vol. 231(4) (2017) 390–399.
LibreCat: /record/9976
DOI: 10.1177/1748006X17709376

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.
LibreCat: /record/4421
DOI: 10.1007/s10734-016-0095-8

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.
LibreCat: /record/9963

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.
LibreCat: /record/9967

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.
LibreCat: /record/48838
DOI: 10.1145/2739480.2754673

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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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
DOI: 10.1109/ICPHM.2014.7036406

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.
LibreCat: /record/9895

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
DOI: 10.1109/TASLP.2013.2285480

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

Extended dividend, cash flow, and residual income valuation models: Accounting for deviations from ideal conditions
N. Heinrichs, D. Hess, C. Homburg, M. Lorenz, S. Sievers, Contemporary Accounting Research (VHB-JOURQUAL 3 Ranking A) 30 (2013) 42–79.
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DOI: 10.2139/ssrn.1145201

Valuing high technology growth firms
J. Klobucnik, S. Sievers, Journal of Business Economics (VHB-JOURQUAL 3 Ranking B) 83 (2013) 947–984.
LibreCat: /record/5192
DOI: https://doi.org/10.1007/s11573-013-0684-2

MAP-based Estimation of the Parameters of a Gaussian Mixture Model in the Presence of Noisy Observations
A. Chinaev, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 3352–3356.
LibreCat: /record/11740
DOI: 10.1109/ICASSP.2013.6638279