Data excellence for AI: why should you care?
This forum provides a space to engage with the challenges of designing for intelligent
algorithmic experiences. We invite articles that tackle the tensions between research and …
algorithmic experiences. We invite articles that tackle the tensions between research and …
Collect, measure, repeat: Reliability factors for responsible AI data collection
The rapid entry of machine learning approaches in our daily activities and high-stakes
domains demands transparency and scrutiny of their fairness and reliability. To help gauge …
domains demands transparency and scrutiny of their fairness and reliability. To help gauge …
Dealing with distribution mismatch in semi-supervised deep learning for covid-19 detection using chest x-ray images: A novel approach using feature densities
In the context of the global coronavirus pandemic, different deep learning solutions for
infected subject detection using chest X-ray images have been proposed. However, deep …
infected subject detection using chest X-ray images have been proposed. However, deep …
[PDF][PDF] Improving semi-supervised deep learning under distribution mismatch for medical image analysis applications
SC Ramirez - 2021 - researchgate.net
Deep learning methodologies have shown outstanding success in different image analysis
applications. They rely on the abundance of labelled observations to build the model …
applications. They rely on the abundance of labelled observations to build the model …