Active Learning to Minimize the Risk from Future Epidemics
Author:
Affiliation:
1. University of South Dakota,Applied AI Research Lab,Department of Computer Science,Vermillion,SD,57069
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10194967/10194965/10194994.pdf?arnumber=10194994
Reference13 articles.
1. Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI;monarch;Simon & Schuster,2021
2. COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
3. Using X-ray images and deep learning for automated detection of coronavirus disease
4. CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization
5. AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
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