<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Seiichi Uchida | ISLab, Osaka University</title><link>https://www.is.ids.osaka-u.ac.jp/ja/authors/seiichi-uchida/</link><atom:link href="https://www.is.ids.osaka-u.ac.jp/ja/authors/seiichi-uchida/index.xml" rel="self" type="application/rss+xml"/><description>Seiichi Uchida</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>ja</language><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://www.is.ids.osaka-u.ac.jp/media/logo_hu395f5bc88680994b3144d9b1afedc509_9245_300x300_fit_lanczos_3.png</url><title>Seiichi Uchida</title><link>https://www.is.ids.osaka-u.ac.jp/ja/authors/seiichi-uchida/</link></image><item><title>Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity</title><link>https://www.is.ids.osaka-u.ac.jp/ja/publication/kadota-2024-deep/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.is.ids.osaka-u.ac.jp/ja/publication/kadota-2024-deep/</guid><description/></item><item><title>Pseudo-Label Learning with Calibrated Confidence Using an Energy-Based Model</title><link>https://www.is.ids.osaka-u.ac.jp/ja/publication/toba-2024-pseudo/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://www.is.ids.osaka-u.ac.jp/ja/publication/toba-2024-pseudo/</guid><description/></item><item><title>Analyzing Font Style Usage and Contextual Factors in Real Images</title><link>https://www.is.ids.osaka-u.ac.jp/ja/publication/yasukochi-2023-analyzing/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://www.is.ids.osaka-u.ac.jp/ja/publication/yasukochi-2023-analyzing/</guid><description/></item><item><title>Deep Bayesian Active Learning to Rank for Endoscopic Image Data</title><link>https://www.is.ids.osaka-u.ac.jp/ja/publication/kadota-2022-deep/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://www.is.ids.osaka-u.ac.jp/ja/publication/kadota-2022-deep/</guid><description/></item></channel></rss>