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Found 6 papers, 2 papers with code
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines
Recent developments in transfer learning have boosted the advancements in natural language processing tasks.
Integrative Data Semantics through a Model-enabled Data Stewardship
The DST combined with this disease-specific data model shows how interoperability between multiple, heterogeneous dementia datasets can be achieved.
Interactive cohort exploration for spinocerebellar ataxias using synthetic cohort data for visualization
The service is deployed and can be tested with a synthetic cohort created based on a large, longitudinal dataset from observational studies in the most common SCAs.
Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis results
In this study, we use a state-of-the-art synthetic data generation method and perform in-depth quality analyses of the generated data for a specific use case in the field of nutrition.
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