Learning Spatiotemporal Features with 3D Convolutional Networks
We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised...
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We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised...
This article reviews the current status of lattice-dynamical calculations in\ncrystals, using density-functional perturbation theory, with emphasis on the\nplane-wave pseudo-pot...
This study showed that mismatch-repair status predicted clinical benefit of immune checkpoint blockade with pembrolizumab. (Funded by Johns Hopkins University and others; Clinic...
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTADDITION / CORRECTIONThis article has been corrected. View the notice.Solar Water Splitting CellsMichael G. Walter, Emily L. Warren, J...
Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, s...
The following paper presents current thinking and research on fit indices for structural equation modelling. The paper presents a selection of fit indices that are widely regard...
In patients with atrial fibrillation, apixaban was superior to warfarin in preventing stroke or systemic embolism, caused less bleeding, and resulted in lower mortality. (Funded...