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weecology/idtrees_competition_evaluation: IDTREES competition 2020 evaluation code

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 May 2020Publisher:Zenodo
Authors: Stewart, Dylan; Marconi, Sergio;
Code repository: https://github.com/weecology/idtrees_competition_evaluation/tree/1.0

doi: 10.5281/zenodo.3833216 , 10.5281/zenodo.3833215

weecology/idtrees_competition_evaluation: IDTREES competition 2020 evaluation code

Abstract

<h2> IDTreeS Data Science competition for identifying trees from remote sensing </h2> This repo hosts the code for running the evaluation metrics of the 2020 IDTreeS competition. To run it on your local machine be sure to have installed all the requirements for your environment (see installation instructions below); you can run the evaluation for both tasks by running the main(args) function (main.py), for other cases see Examples.

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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
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