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Statistical Modeling and Learning in Single Cell RNA Sequencing Data
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Predicting Time-to-Event and Clinical Outcomes from High-Dimensional Unstructured Data
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Robust Crowdsourcing and Federated Learning under Poisoning Attacks
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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Generalizable Machine Learning Methods for Electrophysiology
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Autonomic Formation of Large Scale Wireless Mesh Networks
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Deep Learning Approaches Towards Computerized Drug Discovery
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A framework for gestational development tracking using 1D-Doppler ultrasound signals in rural Guatemala
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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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Neural Networks for Cancer Survival Analysis Using High-Dimensional Data
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