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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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The Applications of Big Data Analytics and Machine Learning in Managing, Processing and Analyzing Big Omics Data
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Truncated Singular Value Decomposition Approximation for Structured Matrices via Kronecker Product Summation Decomposition
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Differentially private data release and analytics
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Improving Question Answering by Bridging Linguistic Structures and Statistical Learning
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