R. Hedeshy, R. Menges, und S. Staab. Dataset, (2024)Related to: CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice Expressions.R. Hedeshy, R. Menges, and S. Staab. Interspeech 2023, August 20-24, 2023. Dublin, Ireland, (2023). doi: 10.21437/Interspeech.2023-201.
R. Hedeshy, R. Menges, und S. Staab. Software, (2024)Related to: CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice Expressions. R. Hedeshy, R. Menges, and S. Staab. Interspeech 2023, August 20-24, 2023. Dublin, Ireland, (2023). doi: 10.21437/Interspeech.2023-201.
C. Homs Pons, und R. Lautenschlager. Software, (2024)Related to: Coupled Simulations and Parameter Inversion for Neural System and Electrophysiological Muscle Models, submitted to GAMM Mitteilungen.
P. Seifer, D. Hernández, R. Lämmel, und S. Staab. Software, (2024)Related to: Philipp Seifer, Daniel Hernández, Ralf Lämmel, and Steffen Staab. 2024. From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. In Proceedings of the ACM Web Conference 2024 (WWW ’24). ACM. doi: 10.1145/3589334.3645550.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
J. Pelzer. Software, (2024)Related to: Pelzer, Julia, and Miriam Schulte. "Efficient two-stage modeling of heat plume interactions of geothermal heat pumps in shallow aquifers using convolutional neural networks." Geoenergy Science and Engineering (2024): 212788. doi: 10.1016/j.geoen.2024.212788.
R. Hedeshy, R. Menges, und S. Staab. Dataset, (2024)Related to: CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice Expressions.R. Hedeshy, R. Menges, and S. Staab. Interspeech 2023, August 20-24, 2023. Dublin, Ireland, (2023). doi: 10.21437/Interspeech.2023-201.
Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, und K. Hose. Software, (2024)Related to: A. Zubaria, D. Hernández, L. Galárraga, G. Flouris, I. Fundulaki, and K. Hose. NPCS: Native Provenance Computation for SPARQL. Proceedings of the ACM Web Conference 2024 (WWW '24), May13-17, 2024, Singapore, Singapore, ACM, (May 2024). doi: 10.1145/3589334.3645557.
H. Kschidock. Dataset, (2024)Related to: Kschidock, Helena: Development of an Euler-Lagrangian framework for point-particle tracking to enable efficient multiscale simulations of complex flows.Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Masterarbeit Nr. 70 (2023). doi: 10.18419/opus-13813.
M. Breyer, A. Van Craen, und D. Pflüger. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, Seite 1-12. Association for Computing Machinery, (2023)
T. Schrader, D. Schneider, und B. Uekermann. Software, (2023)Related to: David Schneider, Timo Pierre Schrader, Benjamin Uekermann: "Data-Parallel Radial-Basis Function Interpolation in preCICE", International Conference on Computational Methods for Coupled Problems in Science and Engineering 2023 (in preparation).
L. Willeke, D. Schneider, und B. Uekermann. Software, (2023)Related to: Willeke, Leonard; Schneider, David; Uekermann, Benjamin; 2023; Ä preCICE-FMI runner to Couple FMUs to PDE-Based Simulations" (submitted).
L. Willeke. Software, (2023)Related to: L.Willeke, A preCICE-FMI Runner to couple controller models to PDEs, Master Thesis, University of Stuttgart, 2023. doi: 10.18419/opus-13130.
C. Zhang, D. Aspandi, und S. Staab. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, 4 : VISAPP, Seite 121-132. Setúbal, SciTePress, (2023)