Multi-label learning handles datasets where each instance is associated with multiple labels, which are often correlated. As other machine learning tasks, multi-label learning also suffers from the curse of dimensionality, ...

Front-of-package warning labels (WLs) are among the public health policies adopted by some countries, mainly in Latin-America, to tackle childhood obesity; however, their impact is still under review. The aim of this study ...

© 2018 World Obesity FederationChile approved the law of food labelling and advertising in 2012; this law aims to address the obesity epidemic, particularly in children. The implementation details were published in 2015, ...

Feature Selection plays an important role in machine learning and data mining, and it is often applied as a data pre-processing step. This task can speed up learning algorithms and sometimes improve their performance. In ...

The label function, among other things, is to guide consumers regarding the food itself, presenting the nutritional characteristics of the product, therefore clarify a healthy choice when buying. However, most consumers ...

Neste trabalho de conclusão do curso de Graduação em Ciência e Tecnologia de Alimentos foi realizada a revisão bibliográfica sobre a legislação de rotulagem geral e nutricional de alimentos embalados no Brasil. Para a ...

© 2019 World Obesity FederationThis study evaluated the anticipated food and beverage product reformulation by industry before the Chilean Law of Food Labeling and Advertising (Law 20.606) was implemented in June 2016 ...