FlavorMiner: A Machine Learning Platform for Extracting Molecular Flavor Profiles from Structural Data
Fabio Herrera-Rocha,
Miguel Fernández-Niño,
Jorge Duitama
et al.
Abstract:Flavor is the main factor driving consumers acceptance of food products. However, tracking the biochemistry of flavor is a formidable challenge due to the complexity of food composition. Current methodologies for linking individual molecules to flavor in foods and beverages are expensive and time-consuming. Predictive models based on machine learning (ML) are emerging as an alternative to speed up this process. Nonetheless, the optimal approach to predict flavor features of molecules remains elusive. In this w… Show more
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