most citedBayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies

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astro-ph.GA2026

Deep learning from the crowd Fundamentals of morphological galaxy classification

Luis Enrique Sucar, Carlos del Burgo, Jonathan Serrano-Pérez

Aims. The objective of this work is to adapt a deep neural network model to perform galaxy morphological classification trained from crowd annotations, considering the training sch…