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TINTO: A Novel Framework to Convert Tidy Data into Image for Deep Learning with Convolutional Neural Networks

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Jan 2023Publisher:Zenodo
Authors: Castillo-Cara, Manuel;
Code repository: https://github.com/oeg-upm/TINTO/tree/v1.2.0

doi: 10.5281/zenodo.7640749 , 10.5281/zenodo.7520959 , 10.5281/zenodo.7463972

TINTO: A Novel Framework to Convert Tidy Data into Image for Deep Learning with Convolutional Neural Networks

Abstract

In this version a filter is created since a matrix of size "2distancetotal_steps+1" is being created to act as a "filter", which covers the whole circular space of the minutiae determined by the distance and by the total number of steps. This "filter", which is a matrix, would be multiplied with a scalar, which is the intensity value. Finally, this resulting matrix is placed as a submatrix within the final matrix where the centre of the submatrix would be the position of the characteristic pixel. Blurring have been improved. Two new functions: createFilter and blurringFilter The distance now is in pixels (previously it was by percentage). By default is 2 Sub-matrices have been created for blurring. Fixed the vertical and horizontal pixels bug.

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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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