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BACKGROUND: Gene set enrichment (GSE) analysis is a popular framework for condensing information from gene expression profiles into a pathway or signature summary. The strengths of this approach over single gene analysis...

Recent methods for learning vector space representations of words have succeeded in capturing fine-grained semantic and syntactic regularities using vector arith-metic, but the origin of these regularities has remained o...

We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a deep convolutional neural...

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 video dataset. Our findings are three-fold...

Agreement between two methods of clinical measurement can be quantified using the differences between observations made using the two methods on the same subjects. The 95% limits of agreement, estimated by mean differenc...

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit p...

There is a great demand for perceptual effort ratings in order to better understand man at work. Such ratings are important complements to behavioral and physiological measurements of physical performance and work capaci...

Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities ...

Existing deep convolutional neural networks (CNNs) require a fixed-size (e.g., 224 × 224) input image. This requirement is "artificial" and may reduce the recognition accuracy for the images or sub-images of an arbitrar...

Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, especially in the context of deep learning....

AIM: The aim of this paper is to distinguish the integrative review method from other review methods and to propose methodological strategies specific to the integrative review method to enhance the rigour of the process...

Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks...

Materias / palabras clave: Software; Image (mathematics); Computer science; Data science; Image processing; Image analysis; Computer graphics (images); Computer vision; Digital image processing; Programming language

Materias / palabras clave: mechanical engineering, computer science applications, computational mechanics; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware; Technology: Engi...

Materias / palabras clave: mathematical modeling, numerical and analytical methods, algorithm, software; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software; Technology: Electrical engineering....

Materias / palabras clave: theoretical computer science, logical methods; Philosophy. Psychology. Religion: Logic; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: information technology and systems, pattern thinking, knowledge processing methods and tools, mathematical modeling, computer engineering and software; Technology: Electrical engineering. Electronics. Nuclear engineering...

Materias / palabras clave: computer simulation, computational methods, process control, instrumentation, multiscale experiments; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software

Materias / palabras clave: computational mechanics, numerical methods, engineering modelling, software development, computer-aided analysis, applied mathematics; Science: Mathematics: Instruments and machines: Electronic computers. Computer scienc...