<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Majid Ezzati | Global Pathogen Analysis Platform (GPAP) AI Research</title><link>https://gpap-project.github.io/author/majid-ezzati/</link><atom:link href="https://gpap-project.github.io/author/majid-ezzati/index.xml" rel="self" type="application/rss+xml"/><description>Majid Ezzati</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 23 Feb 2021 00:00:00 +0000</lastBuildDate><image><url>https://gpap-project.github.io/media/logo.svg</url><title>Majid Ezzati</title><link>https://gpap-project.github.io/author/majid-ezzati/</link></image><item><title>Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas</title><link>https://gpap-project.github.io/publication/suel-2021-multimodal/</link><pubDate>Tue, 23 Feb 2021 00:00:00 +0000</pubDate><guid>https://gpap-project.github.io/publication/suel-2021-multimodal/</guid><description/></item></channel></rss>