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Neal Jean
Neal Jean
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Combining satellite imagery and machine learning to predict poverty
N Jean, M Burke, M Xie, WM Davis, DB Lobell, S Ermon
Science 353 (6301), 790-794, 2016
16452016
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
CS Ho, N Jean, CA Hogan, L Blackmon, SS Jeffrey, M Holodniy, N Banaei, ...
Nature communications 10 (1), 4927, 2019
5362019
Transfer learning from deep features for remote sensing and poverty mapping
M Xie, N Jean, M Burke, D Lobell, S Ermon
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
4892016
Tile2vec: Unsupervised representation learning for spatially distributed data
N Jean, S Wang, A Samar, G Azzari, D Lobell, S Ermon
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3967-3974, 2019
1942019
Semi-supervised deep kernel learning: Regression with unlabeled data by minimizing predictive variance
N Jean, SM Xie, S Ermon
Advances in Neural Information Processing Systems 31, 2018
842018
Predicting economic development using geolocated wikipedia articles
E Sheehan, C Meng, M Tan, B Uzkent, N Jean, M Burke, D Lobell, ...
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
742019
Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel
JW Khor, N Jean, ES Luxenberg, S Ermon, SKY Tang
Soft matter 15 (6), 1361-1372, 2019
472019
Transfer learning from deep features for remote sensing and poverty mapping. arXiv 2015
M Xie, N Jean, M Burke, D Lobell, S Ermon
arXiv preprint arXiv:1510.00098, 0
14
Incorporating spatial context and fine-grained detail from satellite imagery to predict poverty
JH Kim, M Xie, N Jean, S Ermon
Stanford University. doi, 2016
112016
Tile2vec: Unsupervised representation learning for remote sensing data
N Jean, S Wang, G Azzari, D Lobell, S Ermon
arXiv preprint arXiv:1805.02855, 2018
82018
Semi-supervised deep kernel learning
N Jean, M Xie, S Ermon
NIPS Bayesian deep learning workshop 11, 19-55, 2016
82016
Performance variation in the NBA: Guaranteed contracts and the contract year phenomenon
N Jean
Duke University, Undergraduate honors thesis, 2010
82010
Rapid bacterial identification based on surface-enhanced Raman scattering and machine learning (Conference Presentation)(Withdrawal Notice)
CS Ho, N Jean, A Saleh, S Ermon, N Banaei, JA Dionne
Proc. SPIE 10479, 1047904, 2018
12018
Finding Poverty in Satellite Images
N Jean, R Luo
CS229 Stanford, 2-6, 2016
12016
Machine Learning for a Sustainable World
N Jean
Stanford University, 2019
2019
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