<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Alexander Hepburn |</title><link>https://pc.inf.usi.ch/people/alexander-hepburn/</link><atom:link href="https://pc.inf.usi.ch/people/alexander-hepburn/index.xml" rel="self" type="application/rss+xml"/><description>Alexander Hepburn</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Oct 2022 00:00:00 +0000</lastBuildDate><item><title>What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components (Version 2022-jose)</title><link>https://pc.inf.usi.ch/publications/dblp-data-10-sokol-hsf-22/</link><pubDate>Sat, 01 Oct 2022 00:00:00 +0000</pubDate><guid>https://pc.inf.usi.ch/publications/dblp-data-10-sokol-hsf-22/</guid><description/></item><item><title>FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems</title><link>https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2209-03805/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2209-03805/</guid><description/></item><item><title>What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components</title><link>https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2209-03813/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://pc.inf.usi.ch/publications/dblp-journalscorrabs-2209-03813/</guid><description/></item></channel></rss>