Követés
Lynn Miller
Lynn Miller
Monash University
E-mail megerősítve itt: monash.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep learning for time series classification and extrinsic regression: A current survey
N Mohammadi Foumani, L Miller, CW Tan, GI Webb, G Forestier, M Salehi
ACM Computing Surveys 56 (9), 1-45, 2024
932024
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
352021
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
272023
Deep Learning for Satellite Image Time-Series Analysis: A review
L Miller, C Pelletier, GI Webb
IEEE Geoscience and Remote Sensing Magazine, 2024
162024
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
162020
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
142022
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
82023
Using AI and satellite Earth observation to monitor UN Sustainable Development Indicators
L Miller, C Rüdiger, GI Webb
Harvard CRCS AI for Social Good Workshop, 2020
32020
Highly Scalable Time Series Classification for Very Large Datasets
A Dempster, CW Tan, L Miller, NM Foumani, DF Schmidt, GI Webb
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2024
2024
Estimating and Projecting Environmental Indicators using Satellite Data and Machine Learning
LO MILLER
Monash University, 2023
2023
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