| SystemDS: A declarative machine learning system for the end-to-end data science lifecycle M Boehm, I Antonov, S Baunsgaard, M Dokter, R Ginthör, K Innerebner, ... arXiv preprint arXiv:1909.02976, 2019 | 62 | 2019 |
| Daphne: An open and extensible system infrastructure for integrated data analysis pipelines P Damme, M Birkenbach, C Bitsakos, M Boehm, P Bonnet, F Ciorba, ... Conference on Innovative Data Systems Research, 2022 | 21 | 2022 |
| Exdra: Exploratory data science on federated raw data S Baunsgaard, M Boehm, A Chaudhary, B Derakhshan, S Geißelsöder, ... Proceedings of the 2021 International Conference on Management of Data, 2450 …, 2021 | 18 | 2021 |
| mcpt at semeval-2023 task 3: Multilingual label-aware contrastive pre-training of transformers for few-and zero-shot framing detection M Reiter-Haas, A Ertl, K Innerebner, E Lex arXiv preprint arXiv:2303.09901, 2023 | 5 | 2023 |
| Federated Data Preparation, Learning, and Debugging in Apache SystemDS S Baunsgaard, M Boehm, K Innerebner, M Kehayov, F Lackner, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
| DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines A Vontzalidis, S Psomadakis, C Bitsakos, M Dokter, K Innerebner, ... European Conference on Parallel Processing, 242-246, 2023 | | 2023 |
