Search Results - "Phelps, Nathan"

An exploratory clustering analysis of the 2016 National Financial Well-Being Survey by Phelps, Nathan, Metzler, Adam

“…This paper uses cluster analysis to explore the results of the 2016 National Financial Well-Being survey. Our analysis identifies four groups, two of which…”
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Classification of forest fuels in selected fire-prone ecosystems of Alberta, Canada—implications for crown fire behaviour prediction and fuel management by Phelps, Nathan, Beverly, Jennifer L.

“…Key message We used clustering to construct fuel classes from fuel inventory data based on three stand attributes relevant to crown fire behaviour: surface…”
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Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study by Arntfield, Robert, VanBerlo, Blake, Alaifan, Thamer, Phelps, Nathan, White, Matthew, Chaudhary, Rushil, Ho, Jordan, Wu, Derek

“…ObjectivesLung ultrasound (LUS) is a portable, low-cost respiratory imaging tool but is challenged by user dependence and lack of diagnostic specificity. It is…”
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The Alberta Wildland Fuels Inventory Program (AWFIP): data description and reference tables by Phelps, Nathan, Cameron, Hilary, Forbes, Air M., Schiks, Tom, Schroeder, Dave, Beverly, Jennifer L.

“…Key message This document describes a dataset obtained from a field sampling program conducted in Alberta, Canada. Field data were used to describe the…”
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Reinforcement Learning in Large, Structured Action Spaces: A Simulation Study of Decision Support for Spinal Cord Injury Rehabilitation by Phelps, Nathan

“…Reinforcement learning (RL) has helped improve decision-making in several applications. However, applying traditional RL is challenging in some applications,…”
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Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation by Phelps, Nathan, Marrocco, Stephanie, Cornell, Stephanie, Wolfe, Dalton L., Lizotte, Daniel J.

“…Reinforcement learning (RL) has helped improve decision-making in several domains but can be challenging to apply; this is the case for rehabilitation of…”
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Using Platt's scaling for calibration after undersampling -- limitations and how to address them by Phelps, Nathan, Lizotte, Daniel J, Woolford, Douglas G

“…When modelling data where the response is dichotomous and highly imbalanced, response-based sampling where a subset of the majority class is retained (i.e.,…”
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Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation by Phelps, Nathan, Marrocco, Stephanie, Cornell, Stephanie, Wolfe, Dalton L, Lizotte, Daniel J

“…Reinforcement learning (RL) has helped improve decision-making in several applications. However, applying traditional RL is challenging in some applications,…”
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Grid Planning for Electrification Using Highly Granular Analytics: Insights Into the Transportation Distribution Infrastructure by Currie, Robert A. F., Ward, Teddy, Carney, James L., Mandelman, Greg, Everett, Margot C., Shumavon, Aram, Phelps, Nathan, Griffin, Lindsay, Roundtree, Stephan

“…Many countries are enhancing the planning and interconnection process to accelerate the interconnection of solar, wind, and other technologies to the…”
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