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Background Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the ...
Liu Qingzhong +8 more
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Image Similarity to Improve the Classification of Breast Cancer Images
Techniques in image similarity can be used to improve the classification of breast cancer images. Breast cancer images in the mammogram modality have an abundance of non-cancerous structures that are similar to cancer, which make classification of images
Dave Tahmoush
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Kinematic Self-Similarity [PDF]
Self-similarity in general relativity is briefly reviewed and the differences between self-similarity of the first kind and generalized self-similarity are discussed.
A A Coley +28 more
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Minimax Bridgeness-Based Clustering for Hyperspectral Data
Hyperspectral (HS) imaging has been used extensively in remote sensing applications like agriculture, forestry, geology and marine science. HS pixel classification is an important task to help identify different classes of materials within a scene, such ...
Steven Le Moan, Claude Cariou
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Know You Neighbor: Fast Static Prediction of Test Flakiness
Context: Flaky tests plague regression testing in Continuous Integration environments by slowing down change releases and wasting testing time and effort.
Roberto Verdecchia +3 more
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O campo sujo consiste basicamente de um estrato herbáceo sub-arbustivo dominado por gramíneas, alguns arbustos esparsos e indivíduos arbóreos normalmente menos desenvolvidos de espécies de cerrado sentido restrito.
Cássia Beatriz Rodrigues Munhoz +1 more
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La sombra de Pushkin en la poesía de V. Nabokov
La sombra de Pushkin es uno de los símbolos claves de la poesía de Vladimir Nabokov. A los dos poetas les une no sólo el espacio de la literatura rusa sino también algo que la traspasa: el destino.
Alexei Filimonov
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