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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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 . 2022
License: CC BY
Data sources: Datacite
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 . 2022
License: http://creativecommons.org/licenses/by/2.0/legalcode
Data sources: ZENODO
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Dataset for Painter Classification (Manet, Caravaggio, and VanGogh)

Research datakeyboard_double_arrow_right Dataset 13 Jul 2022 English Publisher:Zenodo
Authors: Anello Cione; Muhammad Irfan Khalid; Alessandro Recupido; Diego Rincon-Yanez;

doi: 10.5281/zenodo.6828816 , 10.5281/zenodo.6828817

Dataset for Painter Classification (Manet, Caravaggio, and VanGogh)

Abstract

The more significant part of the initial dataset was taken from the DeepArtist Dataset ( https://www.kaggle.com/datasets/ikarus777/best-artworks-of-all-time). The purpose of this dataset was equally to build a system to classify paintings from a larger number of painters; this list also included Manet, Caravaggio, and VanGogh.

Related Organizations
Keywords

Classification, Painters

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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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