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This repository contains the code of our published work in IEEE JBHI. Our main objective was to demonstrate the feasibility of the use of synthetic data to effectively train Machine Learning algorithms, prooving that it benefits classification performance most of the times.

  • Updated Aug 8, 2022
  • Python

This capstone project was completed for the Winter 2018 Galvanize Data Science Immersive program. The project aid users in rooting out the usage of fake images on the internet by automatically scraping web pages related to a topic of interest, cross referencing the images from each each web page with a directory of known fake images, and identif…

  • Updated Feb 14, 2018
  • Python

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