(Q92011641)

English

Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods

scientific article published on 12 December 2019

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scholarly article

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods (English)

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

machine learning

1 reference

based on heuristic

inferred from title

invasive species

1 reference

based on heuristic

inferred from title

Asclepias syriaca

1 reference

based on heuristic

inferred from title

1 reference

based on heuristic

inferred from title

1

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

Gábor Szatmári

2

1 reference

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26 April 2020

László Pásztor

3

1 reference

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26 April 2020

7

1 reference

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26 April 2020

author name string

Mátyás Árvai

4

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26 April 2020

József Szatmári

5

1 reference

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26 April 2020

Katalin Szitár

6

1 reference

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26 April 2020

language of work or name

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based on heuristic

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publication date

12 December 2019

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26 April 2020

full work available at URL

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963816

1 reference

21 March 2022

1 reference

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26 April 2020

8

1 reference

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26 April 2020

12

1 reference

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26 April 2020

copyright license

Creative Commons Attribution 4.0 International

1 reference

https://api.crossref.org/v1/works/10.3390/PLANTS8120593

copyright status

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maintained by WikiProject

WikiProject Invasion Biology

0 references

Bayesian Thurstonian models for ranking data using JAGS.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=6963816

23 February 2021

Biological invasions: a field synopsis, systematic review, and database of the literature

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=6963816

23 February 2021

Global biodiversity scenarios for the year 2100

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=6963816

23 February 2021

Does global change increase the success of biological invaders?

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=6963816

23 February 2021

Challenges of predicting the potential distribution of a slow-spreading invader: a habitat suitability map for an invasive riparian tree

1 reference

27 May 2022

https://opencitations.net/index/coci/api/v1/citations/10.1007/S10530-010-9798-4

Identifiers

10.3390/PLANTS8120593

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31842272%20AND%20SRC:MED&resulttype=core&format=json

26 April 2020

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