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Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management
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Automatic Hyperparameter Tuning in Physics-Based Distortion Correction for Diffusion Tensor Imaging
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe
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Variance Reduction Methods for High-Dimensional Optimal Control Problems
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Modeling and Predicting Storm Surges Using Machine Learning Methods
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Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur
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Fair Clustering Problems
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Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a Modified SEIR Model
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Optimal Control Approaches for Designing Neural Ordinary Differential Equations
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