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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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GoBo - A Handwriting Recognition dataset for Personalization

Research datakeyboard_double_arrow_right Dataset 17 Sep 2021 English Publisher:Zenodo
Authors: Gold, Christian; van den Boom, Dario; Zesch, Torsten;

doi: 10.5281/zenodo.8085511 , 10.5281/zenodo.8085510

GoBo - A Handwriting Recognition dataset for Personalization

Abstract

This dataset comprises the images for the personalization described in the paper Personalizing Handwriting Recognition Systems with Limited User-Specific Samples. Dataset Statistics (v.1.0) * Handwritten word-level images * English * 40 Participants * 5 sets from different sources for personalization * 2 sets from 2 domains (same domains as 2 personalization sets) for testing * 926 words/writer, 37k words in total More details can be found on the Github Repository: Github GoBo Model gobo_Baselinemodel.hdf5

Keywords

Personalization, Handwriting Recognition

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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).
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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.
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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.
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