F. Huth, T. Blascheck, S. Koch, and T. Ertl. VINCI '22 : Proceedings of the 15th International Symposium on Visual Information Communication and Interaction, page 9. New York, Association for Computing Machinery, (2022)
Y. Boeva, T. Wortmann, C. Kropp, and A. Menges. The Routledge Companion to Ecological Design Thinking : Healthful Ecotopian Visions for Architecture and Urbanism, chapter 3.12, Routledge, New York, 1 edition, (2022)
A. Sahrmann, L. Gizzi, A. Zanker, G. Handsfield, and O. Röhrle. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), page 3899-3902. Piscataway, IEEE, (2022)
J. Yan, N. Rodrigues, L. Shao, T. Schreck, and D. Weiskopf. Software, (2022)Related to: Nils Rodrigues, Lin Shao, Jia Jun Yan, Tobias Schreck, and Daniel Weiskopf. 2022. Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection. In 2022 Symposium on Eye Tracking Research and Applications (ETRA '22). Association for Computing Machinery, New York, NY, USA, Article 59, 1-7. doi: 10.1145/3517031.3531165.
S. Vahid Dastjerdi, N. Karadimitriou, and H. Steeb. Dataset, (2022)Related to: Vahid Dastjerdi, S.,Karadimitriou N., Hassanizadeh M., & Steeb H. (2022)Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media To be submitted to AWR.
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.
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.
T. Krake, and M. Scheven. Software, (2022)Related to: Tim Krake, Malte von Scheven, Jan Gade, Moataz Abdelaal, Daniel Weiskopf,and Manfred Bischoff: "Efficient Update of Redundancy Matrices for Truss andFrame Structures", Journal of Theoretical, Computational and Applied Mechanics, November 11, 2022. doi: 10.46298/jtcam.9615.
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.
L. Triess, A. Bühler, D. Peter, F. Flohr, and J. Zöllner. Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 151, page 4462-4481. Journal of Machine Learning Research, (2022)
A. Beurer. Dataset, (2022)Related to: A.-K. Beurer, J. R. Bruckner, Y. Traa. Influence of the Template Removal Method on the Mechanical Stability of SBA-15. Chemestry Open 2021 10, 1123-1128. doi: 10.1002/open.202100225.
T. Schollenberger, and R. Helmig. Dataset, (2022)Related to: C. Bringedal, T. Schollenberger, G. J. M. Pieters, C. J. van Duijn, R. Helmig, Evaporation-driven density instabilities in saturated porous media. Transport in Porous Media. 2022. doi: 10.1007/s11242-022-01772-w.
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.
M. Kirchhof. Dataset, (2022)Related to: Manuel Kirchhof, Karina Abitaev, Abdulwahab Abouhaileh, Katrin Gugeler, Wolfgang Frey, Anna Zens, Johannes Kästner, Thomas Sottmann, Sabine Laschat. Interplay of Polarity and Confinement in Asymmetric Catalysis with Chiral Rh Diene Complexes in Microemulsions. Chem. Eur. J. 2021, 68, 16853-16870. doi: 10.1002/chem.202102752.
J. Gärtner. Software, (2022)Related to: Jan Wilhelm Gärtner, Andreas Kronenburg, Tobias Martin, Efficient WENO library for OpenFOAM, SoftwareX, Volume 12, 2020, 100611, ISSN 2352-7110. doi: 10.1016/j.softx.2020.100611.
D. Hägele, T. Krake, and D. Weiskopf. Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, Üncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.
J. Hommel, and L. Gehring. Dataset, (2022)Related to: Hommel, J., Gehring, L., Weinhardt, F., Ruf, M., & Steeb, H. (2022). Effects of enzymatically induced carbonate precipitation on capillary pressure-saturation relations. Minerals, 12(10), 1186. doi: 10.3390/min12101186.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: González, B., Calvar, N., Gómez, E., & Domínguez, Á. (2007). Density, dynamic viscosity, and derived properties of binary mixtures of methanol or ethanol with water, ethyl acetate, and methyl acetate at T=(293.15, 298.15, and 303.15)K. The Journal of Chemical Thermodynamics, 39(12), 1578-1588. doi: 10.1016/j.jct.2007.05.004.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
J. Nicodemus, J. Kneifl, J. Fehr, and B. Unger. 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 331-336. Elsevier, (2022)
S. König, and S. Schabio. FabLearn Europe / MakeEd 2022 : 6th FabLearn Europe / MakeEd Conference 2022, page 14. New York, Association for Computing Machinery, (2022)
C. Beschle, and A. Barth. Software, (2022)Related to: Hägele, David, Schulz, Christoph, Beschle, Cedric, Booth, Hannah, Butt, Miriam, Barth, Andrea, Deussen, Oliver, & Weiskopf, Daniel (2022). Uncertainty visualization: Fundamentals and recent developments. it - Information Technology 64(4-5), 121-132. doi: 10.1515/itit-2022-0033.