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ORCIDLisa Kühnel
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- affiliation: ZB MED, Cologne, Germany
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2020 – today
- 2024
[b1]Lisa Kühnel:
From Hidden Data and Information towards Data-Driven Research in the Biomedical Domain. Bielefeld University, Germany, 2024- [j4]Sumit Madan
, Lisa Kühnel, Holger Fröhlich, Martin Hofmann-Apitius, Juliane Fluck:
Dataset of miRNA-disease relations extracted from textual data using transformer-based neural networks. Database J. Biol. Databases Curation 2024 (2024) - [j3]Eva Seidlmayer, Tetyana Melnychuk, Lukas Galke, Lisa Kühnel, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner:
Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19. Scientometrics 129(9): 5141-5179 (2024) - [c4]Sobhan Moazemi, Tim Adams, Hwei Geok Ng, Lisa Kühnel, Julian Schneider, Anatol-Fiete Näher, Juliane Fluck, Holger Fröhlich:
NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. GMDS 2024: 21-29 - [c3]Julian Schneider, Marvin Walter, Karen Otte, Thierry Meurers, Ines Perrar, Ute Nöthlings, Tim Adams, Holger Fröhlich, Fabian Prasser, Juliane Fluck, Lisa Kühnel:
Privacy Risk Assessment for Synthetic Longitudinal Health Data. GMDS 2024: 270-279 - [i3]Sobhan Moazemi, Tim Adams, Hwei Geok Ng, Lisa Kühnel, Julian Schneider, Anatol-Fiete Näher, Juliane Fluck, Holger Fröhlich:
NFDI4Health workflow and service for synthetic data generation, assessment and risk management. CoRR abs/2408.04478 (2024) - 2023
- [i2]Lisa Kühnel, Julian Schneider, Ines Perrar, Tim Adams, Fabian Prasser, Ute Nöthlings, Holger Fröhlich, Juliane Fluck:
Synthetic data generation for a longitudinal cohort study - Evaluation, method extension and reproduction of published data analysis results. CoRR abs/2305.07685 (2023) - 2022
- [j2]Lisa Langnickel, Johannes Darms, Katharina Heldt, Denise Ducks, Juliane Fluck:
Continuous development of the semantic search engine preVIEW: from COVID-19 to long COVID. Database J. Biol. Databases Curation 2022(2022) (2022) - [j1]Lisa Kühnel, Juliane Fluck:
We are not ready yet: limitations of state-of-the-art disease named entity recognizers. J. Biomed. Semant. 13(1): 26 (2022) - [i1]Lisa Langnickel, Alexander Schulz, Barbara Hammer, Juliane Fluck:
BERT WEAVER: Using WEight AVERaging to Enable Lifelong Learning for Transformer-based Models. CoRR abs/2202.10101 (2022) - 2021
- [c2]Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz:
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. IEEE BigData 2021: 4350-4355 - [c1]Lisa Langnickel, Roman Baum, Johannes Darms, Sumit Madan, Juliane Fluck:
COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints. MIE 2021: 78-82
Coauthor Index
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