POSTER Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.

DOI

Contributed poster, XXth International Botanical Congress, Madrid, Spain, July 2024. Decombeix A-L, Verlingue K. 2024. Foss-AI, an exploratory project using deep learning to extract paleobiological and paleoenvironmental data from fossil woods.

Identifier
DOI https://doi.org/10.57745/U1ZCEE
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/U1ZCEE
Provenance
Creator Decombeix, Anne-Laure ORCID logo; Verlingue, Killian
Publisher Recherche Data Gouv
Contributor Decombeix, Anne-Laure; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2024
Funding Reference Montpellier Université d'Excellence (MUSE) Foss-AI
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Decombeix, Anne-Laure (CNRS)
Representation
Resource Type Image; Dataset
Format application/pdf
Size 2207514
Version 1.0
Discipline Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences