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. 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.
B. Peters, X. Besseron, A. Peyraut, M. Mehl, und B. Ueckermann. Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Seite 186-193. Setúbal, SciTePress, (2022)
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).
T. Pollinger. Software, (2021)Related to: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique; Theresa Pollinger, Marcel Hurler, Michael Obersteiner, and Dirk Pflüger, 2021. In: 2021 IEEE/ACM International Workshop on Hierarchical Parallelism for Exascale Computing (HiPar), pp. 1-9. doi: 10.1109/HiPar54615.2021.00006.
T. Pollinger. Software, (2022)Related to: Pollinger, T., Rentrop, J., Pflüger, D. & Kormann, K. (2022). A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations arXiv. doi: 10.48550/arXiv.2209.14064.
N. Potyka. Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 16th European Conference, ECSQARU 2021 Prague, Czech Republic, September 21-24, 2021, Proceedings, 12897, Seite 130-143. Cham, Springer, (2021)
N. Potyka. Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, Seite 677-686. IJCAI Organization, (2020)
N. Ratliff, M. Toussaint, und S. Schaal. 2015 IEEE International Conference on Robotics and Automation (ICRA 2015), Seite 4202-4209. Piscataway, NJ, IEEE, (2015)
Z. Riaz, F. Dürr, und K. Rothermel. 2015 International Conference and Workshops on Networked Systems (NetSys 2015), Seite 1-8. Piscataway, NJ, IEEE, (2015)
T. Rienstra, C. Schon, und S. Staab. Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, Seite 723-732. IJCAI Organization, (2020)
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.
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).
J. Schreiter, P. Englert, D. Nguyen-Tuong, und M. Toussaint. 2015 IEEE International Conference on Robotics and Automation (ICRA 2015) : Seattle, Washington, USA, 26 - 30 May 2015, Seite 2586-2591. Piscataway, NJ, IEEE, (2015)
J. Schreiter, D. Nguyen-Tuong, M. Eberts, B. Bischoff, H. Markert, und M. Toussaint. Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2015 : proceedings, Volume 3 von Lecture notes in computer science, Seite 133-149. Cham, Springer, (2015)
J. Schreiter, D. Nguyen-Tuong, H. Markert, M. Hanselmann, und M. Toussaint. Proceedings / 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015, Seite 101-106. Louvain-la-Neuve, Ciaco, (2015)
J. Schreiter, D. Nguyen-Tuong, und M. Toussaint. Advances in artificial neural networks, machine learning and computational intelligence : selected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015), 192, Seite 29-37. Amsterdam, Elsevier, (2016)
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.
P. Seifer, R. Lämmel, und S. Staab. The Semantic Web : ISWC 2021 : 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, 12922, Seite 392-409. Cham, Springer, (2021)
F. Simonis, K. Davis, und 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.
M. Spieß, P. Reimann, C. Weber, und B. Mitschang. Proceedings of the 24th International Conference on Enterprise Information Systems, 1, Seite 394-405. Setúbal, SciTePress, (2022)
C. Stach, C. Gritti, D. Przytarski, und B. Mitschang. SAC '22 : Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Seite 1218-1227. New York, Association for Computing Machinery, (2022)
C. Stach, C. Gritti, D. Przytarski, und B. Mitschang. 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Seite 1-4. IEEE, (2020)
C. Stach, und F. Steimle. Proceedings of the 34th ACMSIGAPP Symposium on Applied Computing, Seite 1500-1507. New York, NY, ACM, (2019)34th ACM/SIGAPP Annual International Symposium on Applied Computing (SAC), Univ Cyprus, Limassol, CYPRUS, APR 08-12, 2019.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und 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.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und 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.
M. Toussaint. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, Seite 1930-1936. Palo Alto, California, AAAI Press, (2015)
T. Trung-Hieu, G. Mammadov, K. Sun, und S. Simon. 2018 International Conference on Advanced Computing and Applications (ACOMP), Seite 7-13. IEEE, (2018)