| 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 | 74 | 2019 |
| Lima: Fine-grained lineage tracing and reuse in machine learning systems A Phani, B Rath, M Boehm Proceedings of the 2021 International Conference on Management of Data, 1426 …, 2021 | 30 | 2021 |
| UPLIFT: parallelization strategies for feature transformations in machine learning workloads A Phani, L Erlbacher, M Boehm Proceedings of the VLDB Endowment 15 (11), 2929-2938, 2022 | 9 | 2022 |
| Commit time materialized view maintenance for bulk load operations in teradata A Phani, C Tekur, RKNS Krishna 2019 IEEE International Conference on Electrical, Computer and Communication …, 2019 | 3 | 2019 |
| 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 |
| Improving performance by avoiding transaction logging on Load Isolated tables in Teradata C Tekur, A Phani, RKNS Krishna 2019 IEEE International Conference on Electrical, Computer and Communication …, 2019 | | 2019 |
| RepliSmart: A Smart Replication framework for optimal query throughput in read-heavy environments RKNS Krishna, C Tekur, A Phani Proceedings of the ACM India Joint International Conference on Data Science …, 2019 | | 2019 |
Matthias BoehmTechnische Universität BerlinBestätigte E-Mail-Adresse bei tu-berlin.de