T. Munz, D. Väth, P. Kuznecov, N. Vu, and D. Weiskopf. Software, (2022)Related to: T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visualization-based improvement of neural machine translation", Computers & Graphics, 2021. doi: 10.1016/j.cag.2021.12.003.
M. Alkämper, and J. Magiera. Software, (2022)Related to: M. Alkämper, J. M. Magiera and C. Rohde, “An Interface Preserving Moving Mesh in Multiple Space Dimensions” (2021), submitted. arXiv: 2112.11956.
T. Krake, D. Klötzl, B. Eberhardt, and D. Weiskopf. Software, (2022)Related to: Tim Krake, Daniel Klötzl, Bernhard Eberhardt and Daniel Weiskopf, "Constrained Dynamic Mode Decomposition", in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209437.
I. Banerjee, and P. Walter. Dataset, (2022)Related to: Banerjee, I., Walter, P., Guthke, A., Mumford, K.G. & Nowak, W. (2022). The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Computational Geosciences. Accepted for publication.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, and K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
B. Ceranski, D. Fritsch, G. Mammadov, M. Niklaus, T. Schweizer, S. Simon, J. Wagner, and K. Zhan. Dataset, (2022)Related to: FRITSCH, Dieter ; WAGNER, Jörg F ; CERANSKI, Beate ; SIMON, Sven ; NIKLAUS, Maria ; ZHAN, Kun ; MAMMADOV, Gasim: Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. In: Sensors, 21 (2021), Nr. 3, S. 957. doi: 10.3390/s21030957.
J. Gärtner. Software, (2022)Related to: D. Dietzel, "Modeling and simulation of flash-boiling of cryogenic liquids", PhD Thesis, University of Stuttgart, 2020. doi: 10.18419/opus-10974.
D. Holzmüller, V. Zaverkin, J. Kästner, and I. Steinwart. Software, (2022)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.