<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jenessa Lancaster | MANIFOLD Lab</title><link>https://manifold-cs.ml/author/jenessa-lancaster/</link><atom:link href="https://manifold-cs.ml/author/jenessa-lancaster/index.xml" rel="self" type="application/rss+xml"/><description>Jenessa Lancaster</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 01 Jan 2018 00:00:00 +0000</lastBuildDate><image><url>https://manifold-cs.ml/media/icon_hu11734318148517933569.png</url><title>Jenessa Lancaster</title><link>https://manifold-cs.ml/author/jenessa-lancaster/</link></image><item><title>Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction</title><link>https://manifold-cs.ml/publication/bayesian-optimization-for-neuroimaging-pre-processing-in-brain-age-classification-and-prediction/</link><pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate><guid>https://manifold-cs.ml/publication/bayesian-optimization-for-neuroimaging-pre-processing-in-brain-age-classification-and-prediction/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Jenessa Lancaster, Romy Lorenz, Rob Leech, James H. Cole&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.3389/fnagi.2018.00028" target="_blank" rel="noopener">https://doi.org/10.3389/fnagi.2018.00028&lt;/a>&lt;/p></description></item><item><title>Bayesian Optimisation for Neuroimaging Pre-processing in Brain Age Prediction</title><link>https://manifold-cs.ml/publication/bayesian-optimisation-for-neuroimaging-pre-processing-in-brain-age-prediction/</link><pubDate>Sun, 01 Jan 2017 00:00:00 +0000</pubDate><guid>https://manifold-cs.ml/publication/bayesian-optimisation-for-neuroimaging-pre-processing-in-brain-age-prediction/</guid><description>&lt;p>&lt;strong>Authors:&lt;/strong> Jenessa Lancaster, Romy Lorenz, Rob Leech, James H Cole&lt;/p>
&lt;p>&lt;strong>DOI:&lt;/strong> &lt;a href="https://doi.org/10.1101/201061" target="_blank" rel="noopener">https://doi.org/10.1101/201061&lt;/a>&lt;/p></description></item></channel></rss>