<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Salvatore Iiritano | Giuseppe Manco</title><link>https://gmanco.github.io/authors/salvatore-iiritano/</link><atom:link href="https://gmanco.github.io/authors/salvatore-iiritano/index.xml" rel="self" type="application/rss+xml"/><description>Salvatore Iiritano</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2026 Giuseppe Manco</copyright><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://gmanco.github.io/img/manco.jpg</url><title>Salvatore Iiritano</title><link>https://gmanco.github.io/authors/salvatore-iiritano/</link></image><item><title>Siamese Networks for Unsupervised Failure Detection in Smart Industry</title><link>https://gmanco.github.io/publication/liguori-2024-2/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/liguori-2024-2/</guid><description/></item><item><title>Neuro-Symbolic techniques for Predictive Maintenance</title><link>https://gmanco.github.io/publication/liguori-2023-2/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/liguori-2023-2/</guid><description/></item><item><title>A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels</title><link>https://gmanco.github.io/publication/barbara-2022/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/barbara-2022/</guid><description/></item><item><title>A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper)</title><link>https://gmanco.github.io/publication/liguori-2021-2/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/liguori-2021-2/</guid><description/></item></channel></rss>