AI Enabled Data Quality Monitoring with Hydra. - Thomas Britton; David Lawrence; Kishansingh Rajput (CoRR, 2021)

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. - Majdi I. Radaideh; Chris Pappas; Jared Walden; Dan Lu 001; Lasitha Vidyaratne; Thomas Britton; Kishansingh Rajput; Malachi Schram; Sarah Cousineau (Digit. Signal Process., 2022)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; Thomas Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (CoRR, 2023)

Hydra: Computer Vision for Data Quality Monitoring. - Thomas Britton; Torri Jeske; David Lawrence; Kishansingh Rajput (CoRR, 2024)

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. - Steven Goldenberg; Malachi Schram; Kishansingh Rajput; Thomas Britton; Chris Pappas; Dan Lu 001; Jared Walden; Majdi I. Radaideh; Sarah Cousineau; Sudarshan Harave (Mach. Learn. Sci. Technol., 2024)

eLog analysis for accelerators: status and future outlook. - Antonin Sulc; Thorsten Hellert; Aaron Reed; Adam Carpenter; Alex Bien; Chris Tennant; Claudio Bisegni; Daniel Lersch; Daniel Ratner; David Lawrence; Diana McSpadden; Hayden Hoschouer; et al. (CoRR, 2025)