An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. - Ian Colwell; Buu Phan; Shahwar Saleem; Rick Salay; Krzysztof Czarnecki 001 (Intelligent Vehicles Symposium, 2018)

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. - Kyle Hundman; Valentino Constantinou; Christopher Laporte; Ian Colwell; Tom Söderström (KDD, 2018)

Names Don't Fly: Smart Filters for Profanity Detection and Classification in User-Generated Content. - Hamsa Shwetha Venkataram; Ian Colwell; Steven Liu; Philip Southam; Chris Mattmann; Tom Söderström (DaSH@KDD, 2020)

GNSS-R Soil Moisture Retrieval with a Deep Learning Approach. - Thomas Maximillian Roberts; Ian Colwell; Rashmi Shah; Stephen T. Lowe; Clara C. Chew (IGARSS, 2021)

A Deep-Learning Approach to Soil Moisture Estimation with GNSS-R. - Thomas Maximillian Roberts; Ian Colwell; Clara C. Chew; Stephen T. Lowe; Rashmi Shah (Remote. Sens., 2022)

Deep-learning based measurement of planetary radial velocities in the presence of stellar variability. - Ian Colwell; Virisha Timmaraju; Alexander Wise (CoRR, 2023)

The Muon Space GNSS-R Surface Soil Moisture Product. - Max Roberts; Ian Colwell; Clara Chew; Dallas Masters; Karl Nordstrom (CoRR, 2024)