15 citations · 20 across the 6 of their papers we have counts for
3 papers · 1 filter
Supervised PCA: A Multiobjective Approach
Alexander Ritchie, Laura Balzano, Daniel Kessler +2
Methods for supervised principal component analysis (SPCA) aim to incorporate label information into principal component analysis (PCA), so that the extracted features are more use…
Image Response Regression via Deep Neural Networks
Daiwei Zhang, Lexin Li, Chandra Sripada +1
Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies. To tackle this problem of image response regression, we pr…
Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine
Takanori Watanabe, Daniel Kessler, Clayton Scott +2
Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to strong interest in using neuroimaging methods to…