Kevin Innerebner
Kevin Innerebner
University of Technology Graz
Dirección de correo verificada de
Citado por
Citado por
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
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
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
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
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
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–6