185 citations · 565 across the 17 of their papers we have counts for
4 papers · 1 filter
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging
Luke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro +1
Machine learning models for medical image analysis often suffer from poor performance on important subsets of a population that are not identified during training or testing. For e…
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared Dunnmon, Alexander Ratner, Nishith Khandwala +8
Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applyi…
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities
Jared Dunnmon, Swetava Ganguli, Darren Hau +1
The ability to obtain accurate food security metrics in developing areas where relevant data can be sparse is critically important for policy makers tasked with implementing food a…
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking
Swetava Ganguli, Jared Dunnmon, Darren Hau
Obtaining reliable data describing local Food Security Metrics (FSM) at a granularity that is informative to policy-makers requires expensive and logistically difficult surveys, pa…