Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique
I. Gräßler, I. Mozgova, J. Pottebaum, M. Ott, P. Jung, P. Hesse, in: 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Elsevier, 2024, pp. 549–554.

IngridKG: A FAIR Knowledge Graph of Graffiti
M.A. Sherif, A.A.M. da Silva, S. Pestryakova, A.F. Ahmed, S. Niemann, A.-C.N. Ngomo, Scientific Data 10 (2023).

Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment
R. Fahr, E.A. Janssen, C. Sureth-Sloane, FinanzArchiv / Public Finance Analysis 78 (2022) 239–289.

The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series
Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.

A private sustainable partner selection model for green public-private partnerships and regional economic development
M. Tavana, A. Khalili Nasr, H. Mina, J. Michnik, Socio-Economic Planning Sciences 83 (2022).

The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series
Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.

How irreversible are steady-state trajectories of a trapped active particle?
L. Dabelow, S. Bo, R. Eichhorn, Journal of Statistical Mechanics: Theory and Experiment 2021 (2021).

A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties in RUL Predictions
A. Bender, Machines 9 (2021).

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.

Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story
P. Duman, Games 11 (2020).

Revenue Management for Cloud Computing Providers: Decision Models for Service Admission Control under Non-probabilistic Uncertainty
T. Püschel, G. Schryen, D. Hristova, D. Neumann, European Journal of Operational Research 244 (2015) 637–647.

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.

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.

Simultaneity and temporal order perception: Different sides of the same coin? Evidence from a visual prior-entry study.
K. Weiß, I. Scharlau, The Quarterly Journal of Experimental Psychology 64 (2011) 394–416.

Work roll cooling system design optimisation in presence of uncertainty and constrains
Y.T. Azene, R. Roy, D. Farrugia, C. Onisa, J. Mehnen, H. Trautmann, CIRP Journal of Manufacturing Science and Technology 2 (2010) 290–298.

On the negative Pell equation
É. Fouvry, J. Klüners, Annals of Mathematics 172 (2010) 2035–2104.

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.

Uncertainty decoding for distributed speech recognition over error-prone networks
V. Ion, R. Haeb-Umbach, Speech Communication 48 (2006) 1435–1446.