Titlebook: Limits of Economic and Social Knowledge; Stephen J. DeCanio Book 2014 Palgrave Macmillan, a division of Macmillan Publishers Limited 2014

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from anatomical features, and a figure containing the overview of which measurements are important is generated. The proposed GAX is evaluated on a lung CT image dataset. The results demonstrate that GAX can provide understandable explanations to gain trust in clinical practice, and also present da

Vasoconstrictor

Stephen J. DeCaniod MULTIPLAI to predict oestrogen receptor (ER) status, a key clinical variable for breast cancer patients. We trained different architectures of our framework on 240 samples and benchmarked against graph learning via graph kernels. Propagation Attribute graph kernels achieved a class-balanced accura

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Stephen J. DeCanio that are not useful for the regression are resilient to noise addition. We implement a noise model which aims to add as much noise as possible to the input without harming the performance of the prediction model. We average the importance maps of the subjects and end up with a population-based impo

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pulmonary-edema

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Stephen J. DeCanio filter (GF) and adaptive histogram equalization models are correspondingly employed to remove noises and enhance the images. Global thresholding-based segmentation model is employed for extracting the synovial cavity regions from the image, and curvature values are determined. For drawing a good va