research
∙
04/18/2023
Coarse race data conceals disparities in clinical risk score performance
Healthcare data in the United States often records only a patient's coar...
share
research
∙
07/09/2022
At the Intersection of Deep Learning and Conceptual Art: The End of Signature
MIT wanted to commission a large scale artwork that would serve to 'illu...
research
∙
06/27/2022
Improved Text Classification via Test-Time Augmentation
Test-time augmentation – the aggregation of predictions across transform...
research
∙
04/09/2022
Data Augmentation for Electrocardiograms
Neural network models have demonstrated impressive performance in predic...
research
∙
10/08/2021
Quantifying Inequality in Underreported Medical Conditions
Estimating the prevalence of a medical condition, or the proportion of t...
research
∙
07/16/2021
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice
Data minimization is a legal obligation defined in the European Union's ...
research
∙
11/23/2020
When and Why Test-Time Augmentation Works
Test-time augmentation (TTA)—the aggregation of predictions across trans...
research
∙
07/20/2020
Unsupervised Domain Adaptation in the Absence of Source Data
Current unsupervised domain adaptation methods can address many types of...
research
∙
11/30/2019
Image segmentation of liver stage malaria infection with spatial uncertainty sampling
Global eradication of malaria depends on the development of drugs effect...
research
∙
12/02/2018
