3 papers
cs.HC2026
Integrating Causal Machine Learning into Clinical Decision Support Systems: Insights from Literature and Practice
Domenique Zipperling, Lukas Schmidt, Benedikt Hahn +2
Current clinical decision support systems (CDSSs) typically base their predictions on correlation, not causation. In recent years, causal machine learning (ML) has emerged as a pro…
cs.CY2025
On Large Language Models as Data Sources for Policy Deliberation on Climate Change and Sustainability
Rachel Bina, Kha Luong, Shrey Mehta +4
We pose the research question, "Can LLMs provide credible evaluation scores, suitable for constructing starter MCDM models that support commencing deliberation regarding climate an…
stat.CO2025
Resampling Methods that Generate Time Series Data to Enable Sensitivity and Model Analysis in Energy Modeling
Kelly Wang, Steven O. Kimbrough
Energy systems modeling frequently relies on time series data, whether observed or forecast. This is particularly the case, for example, in capacity planning models that use hourly…