K. Gashteovski, M. Yu, B. Kotnis, C. Lawrence, M. Niepert, and G. Glavas. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 1 : Long Papers, page 4472-4490. Stroudsburg, Association for Computational Linguistics, (2022)
B. Peters, X. Besseron, A. Peyraut, M. Mehl, and B. Ueckermann. Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, page 186-193. Setúbal, SciTePress, (2022)
A. Craen, M. Breyer, and D. Pflüger. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), page 818-827. Piscataway, IEEE, (2022)
A. Iurshina, M. Shahid, T. Backes, P. Mayr, and S. Staab. JCDL '22 : Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, page 56. New York, Association for Computing Machinery, (2022)
J. Ziegler, P. Reimann, C. Schulz, F. Keller, and B. Mitschang. 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), page 222-227. Piscataway, IEEE, (2022)
C. Xu, F. Su, B. Xiong, and J. Lehmann. WWW '22 : Proceedings of the ACM Web Conference 2022, page 788-797. New York, Association for Computing Machinery, (2022)
R. Boutalbi, M. Ait-Saada, A. Iurshina, S. Staab, and M. Nadif. SIGIR '22 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 2227-2231. New York, Association for Computing Machinery, (2022)
C. Stach, C. Gritti, D. Przytarski, and B. Mitschang. SAC '22 : Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, page 1218-1227. New York, Association for Computing Machinery, (2022)
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.
A. Baier, D. Aspandi Latif, and S. Staab. Software, (2023)Related to: Alexandra Baier, Decky Aspandi and Steffen Staab, "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 2023.
T. Schrader. Software, (2023)Related to: Schrader, Timo Pierre, "Efficient Application of Accelerator Cards for the Coupling Library preCICE", Master’s Thesis, Informatics, University of Stuttgart, 2023. doi: 10.18419/opus-13027.
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.
L. Willeke, D. Schneider, and B. Uekermann. Software, (2023)Related to: Willeke, Leonard; Schneider, David; Uekermann, Benjamin; 2023; "A preCICE-FMI runner to Couple FMUs to PDE-Based Simulations" (submitted).
T. Schrader, D. Schneider, and 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).
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).
T. Pollinger. Dataset, (2023)Related to: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique (submitted).
A. Iurshina, J. Pan, R. Boutalbi, and S. Staab. Dataset, (2023)Related to: Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, and Steffen Staab. 2022. NILK: Entity Linking Dataset Targeting NIL-linking Cases. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22). Association for Computing Machinery, New York, NY, USA, 4069-4073. doi: 10.1145/3511808.3557659.
B. Xiong, S. Zhu, M. Nayyeri, C. Xu, S. Pan, C. Zhou, and S. Staab. KDD '22 : Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, page 2130-2139. New York, Association for Computing Machinery, (2022)
B. Xiong, S. Zhu, N. Potyka, S. Pan, C. Zhou, and S. Staab. Advances in Neural Information Processing Systems 35 (NeurIPS 2022), page 3488-3501. Red Hook, Curran Associates, Inc., (2022)
J. Kühnert, D. Göddeke, and M. Herschel. 13th International Workshop on Theory and Practice of Provenance, page 1-4. Red Hook, Curran Associates, Inc., (2021)
S. Oppold, and M. Herschel. TaPP '22 : Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, New York, Association for Computing Machinery, (2022)
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. 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, und 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, und B. Mitschang. IoT '22 : Proceedings of the 12th International Conference on the Internet of Things, Seite 135-138. New York, Association for Computing Machinery, (2022)
M. Heck, C. Becker, und V. Deutscher. Proceedings of the 56th Hawaii International Conference on System Sciences, Seite 6820-6829. Honolulu, Department of IT Management, Shidler College of Business, University of Hawaii, (2023)
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.
H. Geppert, S. Bhowmik, und 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), Seite 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, und B. Uekermann. The 8th European Congress on Computational Methods in Applied Sciences and Engineering : ECCOMAS Congress 2022, Barcelona, Scipedia, (2022)
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.