J. Pelzer. Dataset, (2023)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. Dataset, (2023)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.
M. Heene, and D. Pflüger. Parallel Computing: On the Road to Exascale, Proceedings of the International Conference on Parallel Computing, ParCo 2015, 27, page 339-348. IOS Press, (2016)
M. Breyer, A. Van Craen, and D. Pflüger. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, page 1-12. Association for Computing Machinery, (2023)
S. Hirschmann, D. Pflüger, and C. Glass. 2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW), page 130-141. IEEE, (2016)
I. Desai, E. Scheurer, C. Bringedal, and B. Uekermann. Software, (2023)Related to: Desai, Ishaan, & Bringedal, Carina & Uekermann, Benjamin. A flexible software approach to simulate two-scale coupled problems. ECCOMAS Congress 2022. doi: 10.23967/eccomas.2022.037.
Y. Li, P. Hirmer, C. Stach, and B. Mitschang. IoT '22 : Proceedings of the 12th International Conference on the Internet of Things, page 135-138. New York, Association for Computing Machinery, (2022)
A. Iurshina, J. Pan, R. Boutalbi, and S. Staab. CIKM '22 : Proceedings of the 31st ACM International Conference on Information & Knowledge Management, page 4069-4073. New York, Association for Computing Machinery, (2022)
R. Hedeshy, R. Menges, and 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, and 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.
R. Hedeshy, R. Menges, and 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.
P. Seifer, D. Hernández, R. Lämmel, and 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.
R. Hedeshy, C. Kumar, M. Lauer, and S. Staab. Proceedings of the 2022 International Conference on Multimodal Interaction, page 278-287. New York, NY, United States, Association for Computing Machinery, (2022)
Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, and 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.
M. Heck, C. Becker, and V. Deutscher. Proceedings of the 56th Hawaii International Conference on System Sciences, page 6820-6829. Honolulu, Department of IT Management, Shidler College of Business, University of Hawaii, (2023)
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.
H. Geppert, S. Bhowmik, and K. Rothermel. GRADES-NDA '21 : Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), page 6. New York, Association for Computing Machinery, (2021)
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.
I. Desai, C. Bringedal, and B. Uekermann. The 8th European Congress on Computational Methods in Applied Sciences and Engineering : ECCOMAS Congress 2022, Barcelona, Scipedia, (2022)
C. Zhang, D. Aspandi, and S. Staab. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP, 4 : VISAPP, page 121-132. Setúbal, SciTePress, (2023)
J. Lu, J. Shen, B. Xiong, W. Ma, S. Staab, and C. Yang. SIGIR '23 : Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 2052-2056. New York, Association for Computing Machinery, (2023)
C. Mougan, J. Alvarez, S. Ruggieri, and S. Staab. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, page 454-465. New York, NY, United States, Association for Computing Machinery, (2023)
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.
F. Lindner, M. Mehl, and B. Uekermann. Proceedings of the VII International Conference on Coupled Problems in Science and Engineering, page 50-61. Barcelona, CIMNE, (2017)
M. Behringer, and P. Hirmer. Proceedings of the 35th International Conference on Scientific and Statistical Database Management, page 25. New York, NY, United States, Association for Computing Machinery, (2023)
J. Kässinger, H. Trötsch, F. Dürr, and J. Edinger. Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, page 181-190. Association for Computing Machinery, (2023)
M. Heck, J. Jeong, and C. Becker. Proceedings of the 25th International Conference on Multimodal Interaction, page 243-252. Association for Computing Machinery, (2023)
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
F. Huber, P. Bürkner, D. Göddeke, and M. Schulte. Dataset, (2023)Related to: Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, MiriamKnowledge-Based Modeling of Simulation Behavior for Bayesian OptimizationComputational Mechanics (submitted).
J. Pelzer. Dataset, (2023)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. Dataset, (2023)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. Dataset, (2023)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. Dataset, (2023)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.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
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.
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.
A. Baier, and D. Frank. Software, (2023)Related to: Baier, Alexandra, Boukhers, Zeyd, & Staab, Steffen (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. ArXiv, abs/2103.06727. arXiv: abs/2103.06727.