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2020 – today
- 2024
[i3]Max Roberts, Ian Colwell, Clara Chew, Dallas Masters, Karl Nordstrom:
The Muon Space GNSS-R Surface Soil Moisture Product. CoRR abs/2412.00072 (2024)- 2023
- [i2]Ian Colwell, Virisha Timmaraju, Alexander Wise:
Deep-learning based measurement of planetary radial velocities in the presence of stellar variability. CoRR abs/2304.04807 (2023) - 2022
- [j1]Thomas Maximillian Roberts
, Ian Colwell, Clara C. Chew, Stephen T. Lowe, Rashmi Shah:
A Deep-Learning Approach to Soil Moisture Estimation with GNSS-R. Remote. Sens. 14(14): 3299 (2022) - 2021
- [c4]Thomas Maximillian Roberts, Ian Colwell, Rashmi Shah, Stephen T. Lowe, Clara C. Chew:
GNSS-R Soil Moisture Retrieval with a Deep Learning Approach. IGARSS 2021: 147-150 - 2020
- [c3]Hamsa Shwetha Venkataram, Ian Colwell, Steven Liu, Philip Southam, Chris Mattmann, Tom Söderström:
Names Don't Fly: Smart Filters for Profanity Detection and Classification in User-Generated Content. DaSH@KDD 2020
2010 – 2019
- 2018
- [c2]Ian Colwell, Buu Phan, Shahwar Saleem, Rick Salay, Krzysztof Czarnecki:
An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. Intelligent Vehicles Symposium 2018: 1910-1917 - [c1]Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström:
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. KDD 2018: 387-395 - [i1]Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Söderström:
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding. CoRR abs/1802.04431 (2018)
Coauthor Index
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