Ensemble of four CNNs classifies elliptical and spiral galaxies in S-PLUS images with approximately 99% accuracy on a held-out test set.
Training stochastic model recognition algorithms as networks can lead to maximum mutual information esti- mation of parameters
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Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks
Ensemble of four CNNs classifies elliptical and spiral galaxies in S-PLUS images with approximately 99% accuracy on a held-out test set.