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ORCIDLloyd Hughes
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2020 – today
- 2024
[j1]Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia:
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. Ecol. Informatics 81: 102623 (2024)- [i1]Robin Zbinden, Nina Van Tiel, Benjamin Kellenberger, Lloyd Hughes, Devis Tuia:
On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning. CoRR abs/2401.02989 (2024) - 2023
- [c6]Valérie Zermatten, Javiera Castillo Navarro, Lloyd Hughes, Tobias Kellenberger, Devis Tuia:
Text as a Richer Source of Supervision in Semantic Segmentation Tasks. IGARSS 2023: 2219-2222 - [c5]Shaunak De, Kat Jensen, Victor Cazcarra-Bes, Nestor Yague-Martinez, Davide Castelletti, Lloyd Hughes, Craig Stringham, Jim Klucar, Gordon Farquharson:
An Unsupervised Method for the Detection of and Tracking of Targets in Spotlight Mode SAR Images. IGARSS 2023: 7206-7209 - 2022
- [c4]Kat Jensen, Shaunak De, Lloyd Hughes, Ganesh Yalla:
Flood Monitoring with X-Band and C-Band SAR: A Case Study of the 2021 British Columbia Floods. IGARSS 2022: 5535-5538 - [c3]Shaunak De, Kat Jensen, Lloyd Hughes, David Ruiz, Davide Castelletti, Milo Vejraska, Ganesh Yalla:
Single Collect Flood Mapping from VHR X-Band Data Supervised Solely by Ancillary Data. IGARSS 2022: 7123-7126 - 2021
- [c2]Shaunak De, Lloyd Hughes, Davide Castelletti, Ganesh Yalla:
Fully Unsupervised Bi-Temporal Change Detection Framework for VHR SAR. IGARSS 2021: 184-187 - [c1]Lloyd Hughes, Shaunak De, Davide Castelletti, Ganesh Yalla:
Exploiting Aerial Imagery for Supervised Learning of SAR Despeckling Neural Networks. IGARSS 2021: 3165-3168
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