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Croisement de données biologiques et environnementales : outils et valorisation grâce au deep learning

Authors: Morand, Gaétan;

Croisement de données biologiques et environnementales : outils et valorisation grâce au deep learning

Abstract

Présentation de mon travail au sein du projet G2OI lors du séminaire Jeudi Marbec du 23 février 2023.

Keywords

offshore species, deep-sdm, marine ecology, SDM, deep learning, open data, species distribution, species occurrences, geoenrich, environmental variables

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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14
10
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