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Novel Statistical and Machine Learning Methods with Application to Brain Imaging Data
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The Secret Lives of Poems: Digital Inhabitations of Nineteenth-Century American Literature
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Network-Based Machine Learning Methods for Omics Data
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Machine Learning Methods for Quantification of Depression Severity and Prediction of Recovery Trajectory using Longitudinal Video and Audio Data, with Applications to Deep Brain Stimulation Treatment Optimization
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Local and Genome-wide Gene Conversion contributes to secondary somatic diversification of antibody repertoires in Humans and Mice
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Neural Networks for Cancer Survival Analysis Using High-Dimensional Data
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Bioimage Informatics in the Big Data Era: Algorithms for High-Dimensional Spectral, Volumetric, and Temporal Image Processing
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Localized Dynamics in 2D Disordered Granular Systems
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Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular Mathematics
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Large-Scale Parameter Estimation in Geophysics and Machine Learning
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