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.
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.
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.
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, 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.
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.
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, and D. Pflüger. IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL, page 1-12. Association for Computing Machinery, (2023)
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).
L. Willeke, D. Schneider, and 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).
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.
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)
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.
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.
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).
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).
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. 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.
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.
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. 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)
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.
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.
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.
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)
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.
A. Baier, and S. Staab. Dataset, (2022)Related to: Baier, A., Boukhers, Z., & Staab, S. (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. arXiv: 2103.06727.
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)
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)
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)
D. Del Gaudio, A. Imeri, and P. Hirmer. Proceedings of the 7th International Conference on Internet of Things, Big Data and Security, page 141-148. Setúbal, SciTePress, (2022)
J. Gerhards, T. Schneider, and P. Hirmer. Proceedings of the 7th International Conference on Internet of Things, Big Data and Security, page 189-196. Setúbal, SciTePress, (2022)
M. Spieß, P. Reimann, C. Weber, and B. Mitschang. Proceedings of the 24th International Conference on Enterprise Information Systems, 1, page 394-405. Setúbal, SciTePress, (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)
F. Simonis, K. Davis, and B. Uekermann. Software, (2022)Related to: Chourdakis, G., Davis, K., Rodenberg, B., Schulte, M., Simonis, F., Uekermann, B., Abrams, G., Bungartz, H.-J., Cheung Yau, L., Desai, I., Eder, K., Hertrich, R., Lindner, F., Rusch, A., Sashko, D., Schneider, D., Totounferoush, A., Volland, D., Vollmer, P. and Ziya Koseomur, O., 2021. preCICE v2: A Sustainable and User-Friendly Coupling Library. arXiv preprint. arXiv: 2109.14470.
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)
A. Craen, M. Breyer, and D. Pflüger. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), page 818-827. Piscataway, IEEE, (2022)
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. 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)
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. 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)