2 papers
cs.LG2026
Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning
Noah Subedar, Colin Campbell, Wenjing Zhang +3
Machine learning (ML) studies using clinical data often rely on preprocessing and filtering pipelines before model development. The filtering decisions made in these pipelines can…
cs.IR2026
Extracting Semantics from Cattle Reporting Categories for Data Interoperability and Findability
Kassy Raymond, Andrew Hamilton-Wright, Deborah Stacey
Livestock population data disaggregated by age, sex, and production are important inputs to calculations and models that inform our understanding of global health, yet these data a…