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ZENODO
Dataset . 2020
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 . 2020
License: CC BY
Data sources: Datacite
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Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper

Authors: Ruberto, Stefano; Terragni, Valerio; Moore, Jason H.;

Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper

Abstract

The zip file contains Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper published at the PPSN 2020 conference. This package also contains a version of Lenet5 to classify the MNIST digits. MNIST dataset has been corrupted with salt noise. We made white a different proportion of the pixel at random (5% 10% 30% 40%).

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Keywords

Lenet5, noise, deep learning, genetic programming, GPFL, MNIST

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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!
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