49 citations · 58 across the 8 of their papers we have counts for
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stat.ML2020
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…
stat.ML2013★ 1 cited
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…