<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
	<channel>
		<title>Clément Douarre on Imagine Team</title>
		<link>https://projet.liris.cnrs.fr/imagine/authors/cl%C3%A9ment-douarre/</link>
		<description>Recent content in Clément Douarre on Imagine Team</description>
		<generator>Hugo</generator>
		<language>en-US</language>
		
		
		
			<copyright>&amp;copy; 2026 IMAGINE team - LIRIS</copyright>
		
		
			<lastBuildDate>Fri, 01 Jan 2021 00:00:00 +0000</lastBuildDate>
		
			<atom:link href="https://projet.liris.cnrs.fr/imagine/authors/cl%C3%A9ment-douarre/index.xml" rel="self" type="application/rss+xml" />
			<item>
				<title>Apprendre l&#39;apprentissage automatique : un retour d&#39;expérience</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03341954/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03341954/</guid>
				<description></description>
			</item>
			<item>
				<title>CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03248567/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03248567/</guid>
				<description></description>
			</item>
			<item>
				<title>On the value of CTIS imagery for neural network based classification : experimental results</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03248645/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03248645/</guid>
				<description></description>
			</item>
			<item>
				<title>Spectro-imagerie et apprentissage comprimé</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03248616/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03248616/</guid>
				<description></description>
			</item>
			<item>
				<title>Spectro-imagerie et apprentissage profond : application à la détection de maladies de plantes</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/tel-03690297/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/tel-03690297/</guid>
				<description></description>
			</item>
			<item>
				<title>Spectro-imagerie et apprentissage profond : application à la détection de maladies de plantes</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/tel-04016133/</link>
				<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/tel-04016133/</guid>
				<description></description>
			</item>
			<item>
				<title>Apprentissage comprimé sur images hyperspectrales de feuilles de pommier atteintes de tavelure</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-03248632/</link>
				<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-03248632/</guid>
				<description></description>
			</item>
			<item>
				<title>On the value of CTIS imagery for neural-network-based classification: a simulation perspective</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02975030/</link>
				<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02975030/</guid>
				<description></description>
			</item>
			<item>
				<title>A strategy for multimodal canopy images registration</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02183837/</link>
				<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02183837/</guid>
				<description></description>
			</item>
			<item>
				<title>Data for : Novel Data Augmentation Strategies To Boost Supervised Segmentation of Plant Disease Images</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02307723/</link>
				<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02307723/</guid>
				<description></description>
			</item>
			<item>
				<title>Novel data augmentation strategies to boost supervised segmentation of plant disease</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02330900/</link>
				<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02330900/</guid>
				<description></description>
			</item>
			<item>
				<title>When spectro-imaging meets machine learning</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02514988/</link>
				<pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02514988/</guid>
				<description></description>
			</item>
			<item>
				<title>Data simulation to improve supervised segmentation of apple scab images</title>
				<link>https://projet.liris.cnrs.fr/imagine/publications/hal-02183848/</link>
				<pubDate>Mon, 01 Jan 2018 00:00:00 +0000</pubDate>
				<guid>https://projet.liris.cnrs.fr/imagine/publications/hal-02183848/</guid>
				<description></description>
			</item>
	</channel>
</rss>
