View in EDS PDF Full Text

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.

Saved in:
Bibliographic Details
Title: Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
Authors: Deneu, Benjamin1,2,3 (AUTHOR) benjamin.deneu@inria.fr, Servajean, Maximilien2,4 (AUTHOR), Bonnet, Pierre3,5 (AUTHOR), Botella, Christophe1,2,3 (AUTHOR), Munoz, François6 (AUTHOR), Joly, Alexis1,2 (AUTHOR)
Source: PLoS Computational Biology. 4/19/2021, Vol. 17 Issue 4, p1-21. 21p. 3 Color Photographs, 2 Charts, 5 Graphs, 3 Maps.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 149887274
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Deneu%2C+Benjamin%22">Deneu, Benjamin</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> benjamin.deneu@inria.fr</i><br /><searchLink fieldCode="AR" term="%22Servajean%2C+Maximilien%22">Servajean, Maximilien</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bonnet%2C+Pierre%22">Bonnet, Pierre</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Botella%2C+Christophe%22">Botella, Christophe</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munoz%2C+François%22">Munoz, François</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Joly%2C+Alexis%22">Joly, Alexis</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 4/19/2021, Vol. 17 Issue 4, p1-21. 21p. 3 Color Photographs, 2 Charts, 5 Graphs, 3 Maps.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=149887274
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pcbi.1008856
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1
    Titles:
      – TitleFull: Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Deneu, Benjamin
      – PersonEntity:
          Name:
            NameFull: Servajean, Maximilien
      – PersonEntity:
          Name:
            NameFull: Bonnet, Pierre
      – PersonEntity:
          Name:
            NameFull: Botella, Christophe
      – PersonEntity:
          Name:
            NameFull: Munoz, François
      – PersonEntity:
          Name:
            NameFull: Joly, Alexis
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 19
              M: 04
              Text: 4/19/2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 1553734X
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: PLoS Computational Biology
              Type: main
ResultId 1