<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Simone Mungari | Giuseppe Manco</title><link>https://gmanco.github.io/authors/simone-mungari/</link><atom:link href="https://gmanco.github.io/authors/simone-mungari/index.xml" rel="self" type="application/rss+xml"/><description>Simone Mungari</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2026 Giuseppe Manco</copyright><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://gmanco.github.io/img/manco.jpg</url><title>Simone Mungari</title><link>https://gmanco.github.io/authors/simone-mungari/</link></image><item><title>ARES: Anomaly Recognition Model For Edge Streams</title><link>https://gmanco.github.io/publication/mungari-2026/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/mungari-2026/</guid><description/></item><item><title>Algorithmic Drift: A simulation framework to study the effects of recommender systems on user preferences</title><link>https://gmanco.github.io/publication/coppolillo-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/coppolillo-2025/</guid><description/></item><item><title>ARES: Anomaly Recognition Model For Edge Streams</title><link>https://gmanco.github.io/publication/mungari-2025-2/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/mungari-2025-2/</guid><description/></item><item><title>Flexible Generation of Preference Data for Recommendation Analysis</title><link>https://gmanco.github.io/publication/mungari-2025/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/mungari-2025/</guid><description/></item><item><title>Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences</title><link>https://gmanco.github.io/publication/coppolillo-2024-7/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/coppolillo-2024-7/</guid><description/></item><item><title>Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity</title><link>https://gmanco.github.io/publication/caviglione-2024/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/caviglione-2024/</guid><description/></item><item><title>GenRec: A Flexible Data Generator for Recommendations</title><link>https://gmanco.github.io/publication/coppolillo-2024-4/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/coppolillo-2024-4/</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>Siamese Network for Fake Item Detection</title><link>https://gmanco.github.io/publication/coppolillo-2023-2/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/coppolillo-2023-2/</guid><description/></item><item><title>Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities</title><link>https://gmanco.github.io/publication/liguori-2023/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://gmanco.github.io/publication/liguori-2023/</guid><description/></item></channel></rss>