<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Faivishevsky Lev | Ravid Shwartz-Ziv</title><link>https://www.ravid-shwartz-ziv.com/author/faivishevsky-lev/</link><atom:link href="https://www.ravid-shwartz-ziv.com/author/faivishevsky-lev/index.xml" rel="self" type="application/rss+xml"/><description>Faivishevsky Lev</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><image><url>https://www.ravid-shwartz-ziv.com/img/ravid-shwartz-ziv-social-v2.png</url><title>Faivishevsky Lev</title><link>https://www.ravid-shwartz-ziv.com/author/faivishevsky-lev/</link></image><item><title>Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies</title><link>https://www.ravid-shwartz-ziv.com/publication/lev2018/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.ravid-shwartz-ziv.com/publication/lev2018/</guid><description/></item></channel></rss>