Chris Tennant
Orcid: 0000-0003-3814-8417
According to our database1,
Chris Tennant
authored at least 8 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Mach. Learn. Sci. Technol., March, 2023
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory.
Frontiers Artif. Intell., 2021
2020
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory.
CoRR, 2020
2018
Resolving the Influence of Forest-Canopy Structure on Snow Depth Distributions with Terrestrial Laser Scanning.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A first overview of SnowEx ground-based remote sensing activities during the winter 2016-2017.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017