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 leakage-aware evaluation of explainable machine learning found modest prediction of nanoparticle tumor delivery, with ...
A study of Kenya's prepaid electricity grid found that XGBoost only modestly outperformed simple regression, with recent ...
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 ...
When large volumes of text are grouped into similar topics, being able to explain why they were grouped that way is useful ...