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Journal Articles
- 2021
[j1]Sascha Welten, Laurenz Neumann, Yeliz Ucer Yediel, Luiz Olavo Bonino da Silva Santos, Stefan Decker, Oya Beyan:
DAMS: A Distributed Analytics Metadata Schema. Data Intell. 3(4): 528-547 (2021)
Conference and Workshop Papers
- 2023
- [c4]Yongli Mou, Feifei Li, Sven Weber
, Sabith Haneef, Hans Meine, Liliana Caldeira, Mehrshad Jaberansary, Sascha Welten, Yeliz Ucer Yediel, Guido P. M. Prause, Stefan Decker, Oya Beyan, Toralf Kirsten:
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train. CoRDI 2023 - [c3]Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Sascha Welten, Adamantios Koumpis, Oya Beyan:
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. JCDL 2023: 251-252 - [c2]Mehrshad Jaberansary, Macedo Maia, Yeliz Ucer Yediel, Oya Beyan, Toralf Kirsten:
Analyzing Distributed Medical Data in FAIR Data Spaces. WWW (Companion Volume) 2023: 1480-1484 - 2021
- [c1]Yongli Mou, Sascha Welten, Mehrshad Jaberansary, Yeliz Ucer Yediel, Toralf Kirsten, Stefan Decker, Oya Beyan:
Distributed Skin Lesion Analysis Across Decentralised Data Sources. MIE 2021: 352-356
Informal and Other Publications
- 2023
- [i3]Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, Oya Beyan:
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. CoRR abs/2303.18200 (2023) - [i2]Maximilian Jugl, Sascha Welten, Yongli Mou, Yeliz Ucer Yediel, Oya Deniz Beyan, Ulrich Sax, Toralf Kirsten:
Privacy-Preserving Linkage of Distributed Datasets using the Personal Health Train. CoRR abs/2309.06171 (2023) - 2021
- [i1]Yongli Mou, Sascha Welten, Yeliz Ucer Yediel, Toralf Kirsten, Oya Deniz Beyan:
Distributed Learning for Melanoma Classification using Personal Health Train. CoRR abs/2103.13226 (2021)
Coauthor Index
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