A leakage-aware evaluation of explainable machine learning found modest prediction of nanoparticle tumor delivery, with ...
When machine learning models deliver problematic results, it can often happen in ways that humans can't make sense of, and this becomes dangerous when there are no limitations of the model, ...
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart ...
AI systems have tremendous potential, but the average user has little visibility and knowledge on how the machines make their decisions. AI explainability can build trust and further push the ...
Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health ...
Krishna, Satyapriya, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Transactions on ...
Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...