1 code implementation • 6 Sep 2023 • Eduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost Van de Weijer
Uncertainty-based deep learning models have attracted a great deal of interest for their ability to provide accurate and reliable predictions.
no code implementations • 14 Nov 2017 • Eduardo Aguilar, Beatriz Remeseiro, Marc Bolaños, Petia Radeva
The increase in awareness of people towards their nutritional habits has drawn considerable attention to the field of automatic food analysis.
no code implementations • 14 Sep 2017 • Eduardo Aguilar, Marc Bolaños, Petia Radeva
One of the most common critical factors directly related to the cause of a chronic disease is unhealthy diet consumption.
no code implementations • 14 Sep 2017 • Eduardo Aguilar, Marc Bolaños, Petia Radeva
With the arrival of convolutional neural networks, the complex problem of food recognition has experienced an important improvement in recent years.