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Precision particle tracking of discretized light spots in images using machine learning
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Data-Driven Fine-Grained Epidemic Modeling via Graph Neural Networks
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CONSchema: Schema matching with semantics and constraints
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Pre-Training Graph Neural Networks for Data-Efficient Brain Network Analysis
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Pre-Ictal Window Identification via Logistic Regression
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Fast Gaussian Process Solver
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Computational and Experimental Studies of Selective Rhodium-Catalyzed Allylic C–H Functionalization through π-Allyl Intermediates and Computational Development of Macrocycle Leads for Undruggable Targets
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Using Machine Learning Algorithms to Predict Conditions for Protein Crystallization
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Estimating short- and long-term impact of COVID-19 on air quality, human health, and economic losses in China through machine learning counterfactual simulations
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