Learning from FITS: Limitations in use in modern astronomical research. - Brian Thomas; Tim Jenness; Frossie Economou; Perry Greenfield; Paul Hirst; David S. Berry; Erik Bray; Norman Gray; Demitri Muna; James Turner; Miguel de Val-Borro; Juande Santander-Vela; et al. (Astron. Comput., 2015)

Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. - Alex Hagen; Eric Church; Jan Strube 001; Kolahal Bhattacharya; Vinay Amatya (CoRR, 2020)

Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance. - Alex Hagen; Shane Jackson; James Kahn; Jan Strube 001; Isabel Haide; Karl Pazdernik; Connor Hainje (CoRR, 2021)

DBCal: Density Based Calibration of classifier predictions for uncertainty quantification. - Alex Hagen; Karl Pazdernik; Nicole LaHaye; Marjolein T. Oostrom (CoRR, 2022)

Reduction of detection limit and quantification uncertainty due to interferent by neural classification with abstention. - Alex Hagen; Ken Jarman; Jesse Ward; Greg Eiden; Charles Barinaga; Emily Mace; Craig Aalseth; Anthony Carado (CoRR, 2022)

Synthesis parameter effect detection using quantitative representations and high dimensional distribution distances. - Alex Hagen; Shane Jackson (CoRR, 2023)

Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials. - Marjolein T. Oostrom; Alex Hagen; Nicole LaHaye; Karl Pazdernik (CoRR, 2025)

Improvement of Nuclide Detection through Graph Spectroscopic Analysis Framework and its Application to Nuclear Facility Upset Detection. - Pedro Rodríguez Fernández; Christian Svinth; Alex Hagen (CoRR, 2025)