<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publications on Adnane Ez-zizi</title><link>https://www.aezzizi.com/publication/</link><description>Recent content in Publications on Adnane Ez-zizi</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://www.aezzizi.com/publication/index.xml" rel="self" type="application/rss+xml"/><item><title>A spatial analysis of ball recovery locations, ball recovery methods and eventual possession outcomes in elite women&#39;s football using a Bayesian network approach</title><link>https://www.aezzizi.com/publication/woman_football_bn25/</link><pubDate>Fri, 12 Sep 2025 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/woman_football_bn25/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Future-proofed intrusion detection for internet of things with machine learning</title><link>https://www.aezzizi.com/publication/iot_intrusion25/</link><pubDate>Wed, 29 Jan 2025 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/iot_intrusion25/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>An examination of how fielding outcomes in international and franchise T20 and 50-over cricket are associated with bowling performances and field positions</title><link>https://www.aezzizi.com/publication/cricket_fielding_outcomes25/</link><pubDate>Thu, 23 Jan 2025 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/cricket_fielding_outcomes25/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach</title><link>https://www.aezzizi.com/publication/obfuscated_malware25/</link><pubDate>Wed, 25 Dec 2024 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/obfuscated_malware25/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Error-correction mechanisms in language learning: modeling individuals</title><link>https://www.aezzizi.com/publication/perfectcue23/</link><pubDate>Mon, 20 Mar 2023 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/perfectcue23/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty</title><link>https://www.aezzizi.com/publication/rlunderuncertainty23/</link><pubDate>Sun, 20 Mar 2022 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/rlunderuncertainty23/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>What makes the past perfect and the future progressive? Experiential coordinates for a learnable, context-based model of tense and aspect</title><link>https://www.aezzizi.com/publication/tense22/</link><pubDate>Mon, 31 Jan 2022 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/tense22/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>What is learned from exposure: an error-driven approach to productivity in language</title><link>https://www.aezzizi.com/publication/allomorphy21/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/allomorphy21/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Optimal gut size of small birds and its dependence on environmental and physiological parameters</title><link>https://www.aezzizi.com/publication/optimalgut18/</link><pubDate>Tue, 08 May 2018 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/optimalgut18/</guid><description> Supplementary notes can be added here, including code and math. --</description></item><item><title>Bayesian reinforcement learning in Markovian and non-Markovian tasks</title><link>https://www.aezzizi.com/publication/bayesianrl15/</link><pubDate>Mon, 07 Dec 2015 00:00:00 +0100</pubDate><guid>https://www.aezzizi.com/publication/bayesianrl15/</guid><description> Supplementary notes can be added here, including code and math. --</description></item></channel></rss>