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)

DES science portal: Creating science-ready catalogs. - Angelo Fausti Neto; Luiz Nicolaci da Costa; Aurelio Carnero Rosell; Julia Gschwend; R. L. C. Ogando; Flavia Sobreira; Marcio A. G. Maia; Basillio X. Santiago; Rogério Rosenfeld; C. Singulani; C. Adean; L. D. P. Nunes; et al. (Astron. Comput., 2018)

easyaccess: Enhanced SQL command line interpreter for astronomical surveys. - Matias Carrasco Kind; Alex Drlica-Wagner; Audrey Koziol; Donald Petravick (J. Open Source Softw., 2019)

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)

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Sunil Mucesh; William G. Hartley; Antonella Palmese; Ofer Lahav; L. Whiteway; A. Amon; Keith C. Bechtol; Gary M. Bernstein; Aurelio Carnero Rosell; Matias Carrasco Kind; A. Choi; K. Eckert; et al. (CoRR, 2020)

A machine learning approach to the detection of ghosting and scattered light artifacts in dark energy survey images. - Chihway L. Chang; Alex Drlica-Wagner; S. M. Kent; Brian Nord; Donah Michelle Wang; Michael H. L. S. Wang (Astron. Comput., 2021)

DeepShadows: Separating low surface brightness galaxies from artifacts using deep learning. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (Astron. Comput., 2021)

DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey images. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner; Brian Nord; Michael H. L. S. Wang; A. Jacob Amsellem; K. Downey; S. Jenkins; Diana Kafkes; Z. Zhang (Astron. Comput., 2022)

Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks. - Dimitrios Tanoglidis; Aleksandra Ciprijanovic; Alex Drlica-Wagner (CoRR, 2022)

A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys. - Yufeng Luo; Adam D. Myers; Alex Drlica-Wagner; Dario Dematties; Salma Borchani; Frank Valdes; Arjun Dey; David Schlegel; Rongpu Zhou; DESI Legacy Imaging Surveys Team (CoRR, 2025)