Contrasting Risk Perceptions of Technology-Based Service Innovations in Inter-Organizational Settings.
S. Paluch, N. Wünderlich, Journal of Business Research 69 (2016) 2424--2431.

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.

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.

Wie kann über DBR die wissenschaftliche und praktische Relevanz der Forschung gesichert werden?
T. Brahm, T. Jenert, in: Humboldt-Universität, 2014.

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.

Wissenschafts-Praxis-Kooperation in designbasierter Forschung: Im Spannungsfeld zwischen wissenschaftlicher Gültigkeit und praktischer Relevanz
T. Brahm, T. Jenert, Zeitschrift Für Berufs-Und Wirtschaftspädagogik-Beihefte (ZBW-B) (2014) 45–62.

Dynamic reliability management: Reconfiguring reliability-levels of hardware designs at runtime
J. Anwer, S. Meisner, M. Platzner, in: Reconfigurable Computing and FPGAs (ReConFig), 2013 International Conference On, 2013, pp. 1–6.

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.

Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition
V. Leutnant, A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 21 (2013) 1640–1652.

Server based indoor navigation using RSSI and inertial sensor information
M.K. Hoang, S. Schmitz, C. Drueke, D.H.T. Vu, J. Schmalenstroeer, R. Haeb-Umbach, in: Positioning Navigation and Communication (WPNC), 2013 10th Workshop On, 2013, pp. 1–6.

Non-perturbing cavitation detection / monitoring in sonochemical reactors
P. Bornmann, T. Hemsel, W. Sextro, T. Maeda, T. Morita, in: Ultrasonics Symposium (IUS), 2012 IEEE International, 2012, pp. 1141–1144.

MAP-based estimation of the parameters of non-stationary Gaussian processes from noisy observations
A. Krueger, R. Haeb-Umbach, in: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 2011, pp. 3596–3599.

Speech Enhancement With a GSC-Like Structure Employing Eigenvector-Based Transfer Function Ratios Estimation
A. Krueger, E. Warsitz, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 19 (2011) 206–219.

Model-Based Feature Enhancement for Reverberant Speech Recognition
A. Krueger, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 18 (2010) 1692–1707.

People modify their tutoring behavior in robot-directed interaction for action learning
A.-L. Vollmer, K.S. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6.

A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition
V. Ion, R. Haeb-Umbach, IEEE Transactions on Audio, Speech, and Language Processing 16 (2008) 1047–1060.

UML for Electronic Systems Design – A Comprehensive Overview
Y. Vanderperren, W. Müller, W. Dahaene, Design Automation for Embedded Systems 12 (2008) 261–292.

Server-based execution of periodic tasks on dynamically reconfigurable hardware
K. Danne, R. Mühlenbernd, M. Platzner, IET Computers Digital Techniques 1 (2007) 295–302.

A Low-Cost Positioning System for Location-Aware Applications in Smart Homes
R. Schäfer, W. Müller, R. Deimann, B. Kleinjohann, in: Proceedings of the Workshop on Mobile Spatial Interaction at CHI 2007, San Jose, USA, 2007.

Automatic generation of phonetic regression class trees for MLLR adaptation
R. Haeb-Umbach, IEEE Transactions on Speech and Audio Processing 9 (2001) 299–302.