Suel E, Bhatt S, Brauer M, Flaxman S, Ezzati M Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas Remote Sensing of Environment, 257 , pp. 112339, 2021. () @article{E2021,
title = {Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas},
author = {Suel E and Bhatt S and Brauer M and Flaxman S and Ezzati M},
doi = {10.1016/j.rse.2021.112339},
year = {2021},
date = {2021-05-21},
journal = {Remote Sensing of Environment},
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Suel E, Sorek-Hamer M, Moise I, von Pohle M, Sahasrabhojanee A, Asanjan A, Deardorff E, Lingenfelter V, Oza N, Ezzati M, Brauer M Predicting air pollution spatial variation with street-level imagery Machine Learning in Public Health (MLPH) Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 2020. () @proceedings{E2020,
title = {Predicting air pollution spatial variation with street-level imagery},
author = {Suel E and Sorek-Hamer M and Moise I and von Pohle M and Sahasrabhojanee A and Asanjan A and Deardorff E and Lingenfelter V and Oza N and Ezzati M and Brauer M },
url = {https://spiral.imperial.ac.uk/bitstream/10044/1/88352/4/slevel_air_pollution_neurips.pdf},
year = {2020},
date = {2020-12-12},
organization = {Machine Learning in Public Health (MLPH) Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020)},
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pubstate = {published},
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Li F, Li F, Li S, Long Y Deciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities Science of the Total Environment, 701 (1), pp. 134896, 2020. () @article{F2019b,
title = {Deciphering the recreational use of urban parks: Experiments using multi-source big data for all Chinese cities},
author = {Li F and Li F and Li S and Long Y},
doi = {10.1016/j.scitotenv.2019.134896},
year = {2020},
date = {2020-01-20},
journal = {Science of the Total Environment},
volume = {701},
number = {1},
pages = {134896},
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pubstate = {published},
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Zhang ZX, Long Y Application of Wearable Cameras in Studying Individual Behaviors in Built Environments Landscape Architecture Frontiers, 7 (2), pp. 22-37, 2019. () @article{ZX2019,
title = {Application of Wearable Cameras in Studying Individual Behaviors in Built Environments},
author = {Zhang ZX and Long Y},
doi = {10.15302/J-LAF-20190203},
year = {2019},
date = {2019-05-14},
journal = {Landscape Architecture Frontiers},
volume = {7},
number = {2},
pages = {22-37},
keywords = {},
pubstate = {published},
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Suel E, Polak JW, Bennett JE, Ezzati M Measuring social, environmental and health inequalities using deep learning and street imagery Scientific Reports, 9 , pp. 6229, 2019. () @article{E2019,
title = {Measuring social, environmental and health inequalities using deep learning and street imagery},
author = {Suel E and Polak JW and Bennett JE and Ezzati M},
url = {https://www.nature.com/articles/s41598-019-42036-w},
doi = {10.1038/s41598-019-42036-w},
year = {2019},
date = {2019-04-18},
journal = {Scientific Reports},
volume = {9},
pages = {6229},
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pubstate = {published},
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