| 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 | 1763 | 2016 |
| 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), 1-8, 2019 | 581 | 2019 |
| 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 | 509 | 2016 |
| 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 | 216 | 2019 |
| 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 | 87 | 2018 |
| 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 | 83 | 2019 |
| 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 | 55 | 2019 |
| 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 | 11 | 2016 |
| Tile2vec: Unsupervised representation learning for remote sensing data N Jean, S Wang, G Azzari, D Lobell, S Ermon arXiv preprint arXiv:1805.02855, 2018 | 8 | 2018 |
| Semi-supervised deep kernel learning N Jean, M Xie, S Ermon NIPS Bayesian deep learning workshop 11, 19-55, 2016 | 8 | 2016 |
| Performance variation in the NBA: Guaranteed contracts and the contract year phenomenon N Jean Duke University, Undergraduate honors thesis, 2010 | 8 | 2010 |
| Nighttime Light Predictions from Satellite Imagery N Jean, R Luo, JH Kim United States, Stanford, 2016 | 3 | 2016 |
| 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 Light-Based Diagnosis and Treatment of Infectious Diseases 10479, 1047904, 2018 | 1 | 2018 |
| Finding Poverty in Satellite Images N Jean, R Luo CS229 Stanford, 2-6, 2016 | 1 | 2016 |
| Machine Learning for a Sustainable World N Jean Stanford University, 2019 | | 2019 |
Stefano ErmonStanford University在 cs.stanford.edu 的电子邮件经过验证
