Combining satellite imagery and machine learning to predict poverty

Neal Jean, Marshall Burke, Sang Michael Xie, +3

Science

Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

Chi-Sing Ho, Neal Jean, Catherine A. Hogan, +7

Nature Communications

EngineeringPathogen DetectionRaman Optical SpectroscopyDisease DetectionBacterial Pathogens +14

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

Sang Michael Xie, Neal Jean, Marshall Burke, +2

Proceedings of the AAAI Conference on Artificial Intelligence

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningDisaster Relief +18

Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

Sang Michael Xie, Neal Jean, Marshall Burke, +2

arXiv (Cornell University)

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningDisaster Relief +18

Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel

Jian Wei Khor, Neal Jean, Eric Luxenberg, +2

Soft Matter

Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data

Neal Jean, Sherrie Wang, Anshul Samar, +3

Proceedings of the AAAI Conference on Artificial Intelligence

Geometric LearningEngineeringMachine LearningWord VectorsUnsupervised Machine Learning +14

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Neal Jean, Sang Michael Xie, Stefano Ermon

arXiv (Cornell University)

Minimizing Predictive VarianceEngineeringMachine LearningData ScienceFeature Learning +13

Predicting Economic Development using Geolocated Wikipedia Articles

Evan Sheehan, Chenlin Meng, Matthew Tan, +3

Social Data AnalysisCulturomicsEngineeringDevelopment EconomicsEconomic Development +20

Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Neal Jean, Sang Michael Xie, Stefano Ermon

arXiv (Cornell University)

Minimizing Predictive VarianceEngineeringMachine LearningData ScienceFeature Learning +13

Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channel

Jian Wei Khor, Neal Jean, Chien-Yi Chang, +2

Bulletin of the American Physical Society

EngineeringMachine LearningShape DescriptorsMicroemulsionLab-on-a-chip +9