<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Home on Adolfo De Unánue</title><link>https://unanue.mx/</link><description>Recent content in Home on Adolfo De Unánue</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 27 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://unanue.mx/index.xml" rel="self" type="application/rss+xml"/><item><title>Thirteen Theses on Machine Learning</title><link>https://unanue.mx/research/thirteen-theses/</link><pubDate>Wed, 27 May 2026 00:00:00 +0000</pubDate><guid>https://unanue.mx/research/thirteen-theses/</guid><description>&lt;p&gt;Thirteen numbered theses on what the field optimizes, for whom, and&#10;what it refuses to count. Under review; the preprint stays citable&#10;throughout.&lt;/p&gt;</description></item><item><title>Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times</title><link>https://unanue.mx/research/container-moves/</link><pubDate>Mon, 06 Apr 2026 00:00:00 +0000</pubDate><guid>https://unanue.mx/research/container-moves/</guid><description>&lt;p&gt;Two models over a container terminal&amp;rsquo;s operational data: which&#10;containers will request pre-clearance service, and how long each will&#10;dwell in the yard. Evaluated with temporal validation against the&#10;terminal&amp;rsquo;s operating rules; the paper estimates a reduction of 13 % to&#10;23 % of total handling operations (Villalobos et al. 2026).&lt;/p&gt;</description></item></channel></rss>