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  Principled network extraction from images

Baptista, D., & De Bacco, C. (2021). Principled network extraction from images. Royal Society Open Science, 8(7): 210025. doi:10.1098/rsos.210025.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-0335-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-0336-3
Genre: Journal Article

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Locator:
https://doi.org/10.1098/rsos.210025 (Publisher version)
Description:
-
OA-Status:
Gold
Locator:
https://europepmc.org/article/MED/34350013 (Publisher version)
Description:
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OA-Status:
Green
Locator:
https://doi.org/10.48550/arXiv.2012.12758 (Preprint)
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OA-Status:
Green

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 Creators:
Baptista, Diego1, Author           
De Bacco, Caterina1, Author                 
Affiliations:
1Max Planck Research Group Physics for Inference and Optimization, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_3031010              

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Free keywords: Forschungsgruppe De Bacco
 Abstract: -

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Language(s): eng - English
 Dates: 2021-07-28
 Publication Status: Published online
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1098/rsos.210025
BibTex Citekey: Img2net
arXiv: 2012.12758
 Degree: -

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Title: Royal Society Open Science
  Abbreviation : R. Soc. open sci.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: London : Royal Society
Pages: - Volume / Issue: 8 (7) Sequence Number: 210025 Start / End Page: - Identifier: ISSN: 2054-5703
CoNE: https://pure.mpg.de/cone/journals/resource/2054-5703