Repository containing the implementation of the models and experiments in the paper "Missing value imputation in Food Composition Data with Denoising Autoencoders"
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Updated
Nov 1, 2021 - Jupyter Notebook
Repository containing the implementation of the models and experiments in the paper "Missing value imputation in Food Composition Data with Denoising Autoencoders"
12 year nutrient intake analysis across financial classes with PySpark and KMeans clustering
First outcome of my PhD published in J. Food Compos. Anal.
Project focused on disseminate information from the Brazilian Food Composition Table (TACO).
Framework for standardising and harmonising FCT for nutrition published in Journal of Food Composition and Analysis
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