C. Mougan, J. Alvarez, S. Ruggieri, und S. Staab. Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, Seite 454-465. New York, NY, United States, Association for Computing Machinery, (2023)
A. Baier, D. Aspandi Latif, und 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, und C. Yang. SIGIR '23 : Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Seite 2052-2056. New York, Association for Computing Machinery, (2023)
J. Kässinger, H. Trötsch, F. Dürr, und J. Edinger. Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, Seite 181-190. Association for Computing Machinery, (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.
A. Iurshina, J. Pan, R. Boutalbi, und 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, J. Jeong, und C. Becker. Proceedings of the 25th International Conference on Multimodal Interaction, Seite 243-252. Association for Computing Machinery, (2023)
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)
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.
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.
A. Baier, und 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.