A Lightweight Deep Learning Framework for Galaxy Morphology Classification

Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning

(2022) F Tarsitano et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Classifying Galaxy Morphologies with Few-Shot Learning

(2022) Zhang Zhirui et al.   Research in Astronomy and Astrophysics

Morphological classification of galaxies with deep learning: comparing 3-way and 4-way CNNs

(2021) Mitchell K Cavanagh et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Deep Learning Applications Based on SDSS Photometric Data: Detection and Classification of Sources

(2021) Zhendong He et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Optimising Automatic Morphological Classification of Galaxies with Machine Learning and Deep Learning using Dark Energy Survey Imaging

(2020) Ting-Yun Cheng et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Mask galaxy: Morphological segmentation of galaxies

(2020) H. Farias et al.   Astronomy and Computing

Radio frequency interference mitigation based on the asymmetrically reweighted penalized least squares and SumThreshold method

(2020) Qingguo Zeng et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Machine and Deep Learning applied to galaxy morphology - A comparative study

(2019) P.H. Barchi et al.   Astronomy and Computing

Galaxy detection and identification using deep learning and data augmentation

(2018) R.E. González et al.   Astronomy and Computing

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Galaxy pairs in the Sloan Digital Sky Survey – VII. The merger–luminous infrared galaxy connection

(2013) Sara L. Ellison et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY

(2009) Kevork N. Abazajian et al.   ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES