Crowdsourcing quality control for Dark Energy Survey images. - Peter Melchior; Erin Sheldon; Alex Drlica-Wagner; Eli S. Rykoff; Timothy M. C. Abbott; Filipe B. Abdalla; Sahar Allam; Aurélien Benoit-Lévy; David D. Brooks; Elizabeth Buckley-Geer; Aurelio Carnero Rosell; Matias Carrasco Kind; et al. (Astron. Comput., 2016)

Machine and Deep Learning applied to galaxy morphology - A comparative study. - Paulo H. Barchi; R. R. de Carvalho; Reinaldo R. Rosa; R. A. Sautter; Marcelle Soares-Santos; Bruno A. D. Marques; Esteban Clua; T. S. Gonçalves; C. de Sá-Freitas; T. C. Moura (Astron. Comput., 2020)

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. - Ken Herner; James Annis; Dillon Brout; Marcelle Soares-Santos; Richard Kessler; Masao Sako; Ray F. Butler; Zoheyr Doctor; Antonella Palmese; Sahar Allam; Douglas L. Tucker; Flavia Sobreira; et al. (Astron. Comput., 2020)

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. - Ben Henghes; Ofer Lahav; David W. Gerdes; E. Lin; Robert Morgan; Timothy M. C. Abbott; Michel Aguena; Sahar Allam; James Annis; Santiago Ávila; Emmanuel Bertin; David D. Brooks; et al. (CoRR, 2020)