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Deriving a Metric to Compare Solutions of Malarial Strain Identification Problems and Performing Network Analysis of Disease Outbreaks Across Time
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Predicting Baseball Player Performance with OLS Regression and Out-of-Sample Forecasting
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Recursive Phase Estimation with Applications to Heartbeat Processing
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A Trainable Conjugate Gradient Method for Image Reconstruction
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Fair Clustering Problems
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Accelerated Alternating Minimization for X-ray Tomographic Reconstruction
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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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Domain Decomposition in Computational Fluid Dynamics for Pipe-like Domains
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A Comparison Study on Low Rank Matrix Completion Algorithms in Image and Painting Restoration
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Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization
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Ranking Instagram Preferences: Get to know your friends better through experimental mathematics
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Application of the Double Descent Color Intermittent Diffusion Method to a Variational Data Assimilation Problem
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Variance Reduction Methods for High-Dimensional Optimal Control Problems
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Efficient Preconditioner for Covariance Matrices Using Geometric Information
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Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe
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Linear Programming Approach for Q-Learning
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Predicting GDP growth across different Quantiles
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Estimate Of The Black Hole Mass With A Single Quasinormal Mode
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Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially Variant Blur
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Fast Gaussian Process Solver
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In-silico analysis of the novel Caenorhabditis elegans tropomyosin with poor actin affinity
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Conditional Sampling and Density Estimation with Triangular Convex Flows
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Low Precision Preconditioning for Iterated Tikhonov Regularization
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Generalized Quantile Random Forest with Smoothed Estimating Equations
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By Virtue Or By Vote: Modeling Impacts of State Accountability and Regime Type on Crisis Responses
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Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods
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Reinforcement Learning with Manifold Optimization
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Estimating Population Parameters of Fatal Police Shootings in America
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Modified Functional Principal Component Regression
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