2 citations · 3 across the 3 of their papers we have counts for
3 papers
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
Bum Chul Kwon, Samuel Friedman, Kai Xu +5
Machine learning models built on training data with multiple modalities can reveal new insights that are not accessible through unimodal datasets. For example, cardiac magnetic res…
Signature Activation: A Sparse Signal View for Holistic Saliency
Jose Roberto Tello Ayala, Akl C. Fahed, Weiwei Pan +4
The adoption of machine learning in healthcare calls for model transparency and explainability. In this work, we introduce Signature Activation, a saliency method that generates ho…
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups
Bum Chul Kwon, Uri Kartoun, Shaan Khurshid +7
Disease risk models can identify high-risk patients and help clinicians provide more personalized care. However, risk models developed on one dataset may not generalize across dive…