4 papers
Predicting food taste with bound-driven optimization
Pagkratis Tagkopoulos, Dimitris Sfondilis, Ilias Tagkopoulos +1
The prediction of sensory attributes from ingredient-level formulations is an emerging challenge at the intersection of food science and artificial intelligence. We address the fun…
SkillFlow: Scalable and Efficient Agent Skill Retrieval System
Fangzhou Li, Pagkratios Tagkopoulos, Ilias Tagkopoulos
AI agents can extend their capabilities at inference time by loading reusable skills into context, yet equipping an agent with too many skills, particularly irrelevant ones, degrad…
Translating Dietary Standards into Healthy Meals with Minimal Substitutions
Trevor Chan, Ilias Tagkopoulos
An important goal for personalized diet systems is to improve nutritional quality without compromising convenience or affordability. We present an end-to-end framework that convert…
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
Fanyu Meng, Jules Larke, Xin Liu +4
Machine learning is revolutionizing nutrition science by enabling systems to learn from data and make intelligent decisions. However, the complexity of these models often leads to…