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04/10/2023
Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction
We develop scalable randomized kernel methods for jointly associating da...
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02/15/2023
Interpretable Deep Learning Methods for Multiview Learning
Technological advances have enabled the generation of unique and complem...
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11/18/2021
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking – An Application to COVID-19 severity
COVID-19 severity is due to complications from SARS-Cov-2 but the clinic...
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02/26/2021
sJIVE: Supervised Joint and Individual Variation Explained
Analyzing multi-source data, which are multiple views of data on the sam...
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05/23/2020
Bayesian Integrative Analysis and Prediction with Application to Atherosclerosis Cardiovascular Disease
Cardiovascular diseases (CVD), including atherosclerosis CVD (ASCVD), ar...
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11/13/2019
Sparse Linear Discriminant Analysis for Multi-view Structured Data
Classification methods that leverage the strengths of data from multiple...
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05/13/2019