<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Label Classification |</title><link>https://lelain.net/tags/multi-label-classification/</link><atom:link href="https://lelain.net/tags/multi-label-classification/index.xml" rel="self" type="application/rss+xml"/><description>Multi-Label Classification</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 00:00:00 +0000</lastBuildDate><image><url>https://lelain.net/media/icon.svg</url><title>Multi-Label Classification</title><link>https://lelain.net/tags/multi-label-classification/</link></image><item><title>Multi-label Classification of Ground-based Auroral Emission Spectra Using 1D Vision Transformers</title><link>https://lelain.net/publications/aurora-vit/</link><pubDate>Mon, 06 Jul 2026 00:00:00 +0000</pubDate><guid>https://lelain.net/publications/aurora-vit/</guid><description>&lt;p&gt;Paper presented at RFIAP 2026 (Reconnaissance des Formes, Image, Apprentissage et Perception), July 6-8, 2026, Montpellier, France. A joint work with the Royal Belgian Institute for Space Aeronomy, based on auroral spectra acquired by the ASIS spectrograph in Skibotn, Norway.&lt;/p&gt;</description></item></channel></rss>