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Lynn Miller
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Live fuel moisture content estimation from MODIS: A deep learning approach
L Zhu, GI Webb, M Yebra, G Scortechini, L Miller, F Petitjean
ISPRS Journal of Photogrammetry and Remote Sensing 179, 81-91, 2021
292021
Deep learning for time series classification and extrinsic regression: A current survey
NM Foumani, L Miller, CW Tan, GI Webb, G Forestier, M Salehi
ACM Computing Surveys, 2023
262023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
A Ismail-Fawaz, A Dempster, CW Tan, M Herrmann, L Miller, DF Schmidt, ...
arXiv preprint arXiv:2305.11921, 2023
142023
AI for monitoring the Sustainable Development Goals and supporting and promoting action and policy development
L Miller, M Bolton, J Boulton, M Mintrom, A Nicholson, C Rüdiger, ...
2020 IEEE/ITU international conference on artificial intelligence for good …, 2020
132020
Multi-modal temporal CNNs for live fuel moisture content estimation
L Miller, L Zhu, M Yebra, C Rüdiger, GI Webb
Environmental Modelling & Software 156, 105467, 2022
92022
Projecting live fuel moisture content via deep learning
L Miller, L Zhu, M Yebra, C Rüdiger, GI Webb
International Journal of Wildland Fire 32 (5), 709-727, 2023
52023
Using AI and Satellite Earth Observation to Monitor UN Sustainable Development Indicators
L Miller, C Rüdiger, GI Webb
AI for Social Good Workshop, 2020
22020
Deep Learning for Satellite Image Time Series Analysis: A Review
L Miller, C Pelletier, GI Webb
arXiv preprint arXiv:2404.03936, 2024
2024
Estimating and Projecting Environmental Indicators using Satellite Data and Machine Learning
LO MILLER
Monash University, 2023
2023
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