T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf. Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
S. Rau, F. Heyen, S. Wagner, and M. Sedlmair. Proceedings of the 23rd International Society for Music Information Retrieval Conference, page 151-159. International Society for Music Information Retrieval, (2022)
M. Miller, P. Burkhardt, K. Rudion, and H. Nägele. 13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2022), page 255-260. IEEE, (2022)
C. Homs Pons, and R. Lautenschlager. Software, (2024)Related to: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models, submitted to GAMM Mitteilungen.
B. Bursik, J. Eller, and J. Groß. Dataset, (2024)Related to: B. Bursik, J. Eller, J. Gross: Predicting Solvation Free Energies from the Minnesota Solvation Database Using Classical Density Functional Theory Based on the PC-SAFT Equation of State. Journal of Physical Chemistry B, (2024). Accepted manuscript.