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Computer vision and machine learning approaches for metadata enrichment to improve searchability of historical newspaper collections
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The impact of dynamic learning and training on the personnel staffing decision
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Hellinger distance decision trees for PU learning in imbalanced data sets
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An evaluation of non-iterative estimators in confirmatory factor analysis
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Quasi-Newton methods for partitioned simulation of fluid-structure interaction reviewed in the generalized Broyden framework
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Performance of unsupervised machine learning methods using chi-squared weights for LiDAR point cloud filtering in urban areas
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Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation
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- open access
Coupling an SPH-based solver with an FEA structural solver to simulate free surface flows interacting with flexible structures
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Quantitative interpretation of geoelectric inverted data with a robust probabilistic approach
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A multi-objective approach for location and layout optimization of wave energy converters
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Toward an automated convergence tool for kinetic Monte Carlo simulation of conversion, distributions, and their averages in non-dispersed phase linear chain-growth polymerization
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Parameter efficient neural networks with singular value decomposed kernels
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Semi-sparsity for smoothing filters
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- Journal Article
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Surrogate-based acceleration of quasi-Newton techniques for fluid-structure interaction simulations
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Spline-based trajectory generation to estimate execution time in a robotic assembly cell
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Productively accelerating positron emission tomography image reconstruction on graphics processing units with Julia
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A riddle, wrapped in a mystery, inside an enigma : how semantic black boxes and opaque artificial intelligence confuse medical decision-making
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Breaking the decisional Diffie–Hellman problem for class group actions using genus theory : extended version
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Development of a wide-range soft sensor for predicting wastewater BOD5 using an eXtreme gradient boosting (XGBoost) machine
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A reduction tree approach for the discrete time/cost trade-off problem