Interacting with fallible AI: Is distrust helpful when receiving AI misclassifications?
T.M. Peters, I. Scharlau, Frontiers in Psychology 16 (n.d.).

Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit
R.-S. Götte, Online-Schätzung von Modellungenauigkeiten zur automatischen Modelladaption unter Beibehaltung einer physikalisch-technischen Interpretierbarkeit, 2024.

Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
R.-S. Götte, J. Timmermann, in: 12th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2022), 2023, pp. 85–90.

Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF
R.-S. Götte, J. Timmermann, in: IFAC-PapersOnLine, 2023, pp. 869–874.

Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments
K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein, M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.

Comparison and Validation of Irradiance Data: Satellite Meteorological Dataset MERRA-2 vs. Meteonorm and German Weather Service (DWD)
A. Khatibi, S. Krauter, in: Proceedings of the 38th European Photovoltaic Solar Energy Conference and Exhibition (EUPVSEC 2021), 2021, pp. 1141–1147.

Online State Estimation for Microscopic Traffic Simulations using Multiple Data Sources*
K. Malena, C. Link, S. Mertin, S. Gausemeier, A. Trächtler, in: VEHITS 2021 Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS, Portugal, 2021, pp. 386–395.

Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering Uncertainties
A. Bender, W. Sextro, in: P. Do, S. King,  Olga Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021, 2021.

Estimation of Remaining Useful Lifetime of Piezoelectric Transducers Based on Self-Sensing
J.K. Kimotho, W. Sextro, T. Hemsel, in: IEEE Transactions on Reliability, 2017, pp. 1–10.

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.

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.

GMM-based significance decoding
A.H. Abdelaziz, S. Zeiler, D. Kolossa, V. Leutnant, R. Haeb-Umbach, in: Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On, 2013, pp. 6827–6831.

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.

Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.

Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation
D.H.T. Vu, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), 2013, pp. 863–867.

Improved Noise Power Spectral Density Tracking by a MAP-based Postprocessor
A. Chinaev, A. Krueger, D.H. Tran Vu, R. Haeb-Umbach, in: 37th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), 2012.

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.

Performance Estimation Framework for Automated Exploration of CPU-Accelerator Architectures
T. Kenter, M. Platzner, C. Plessl, M. Kauschke, in: Proc. Int. Symp. on Field-Programmable Gate Arrays (FPGA), ACM, New York, NY, USA, 2011, pp. 177–180.

Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter
M. Bevermeier, O. Walter, S. Peschke, R. Haeb-Umbach, in: 7th Workshop on Positioning Navigation and Communication (WPNC 2010), 2010, pp. 128–134.