Explainable AI for food safety risk prediction with uncertainty quantification using RASFF data
Food safety incidents pose significant public health risks globally, necessitating robust predictive frameworks for identifying high-risk contamination notifications. This study presents an explainable artificial intelligence framework for food safety risk prediction that integrates SHAP-based feature attribution, temp...
Shinyclimensa C, P. A.
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