Generative adversarial networks
Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a c...
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1,071 publications
Modularity and community structure in networks
Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or...
Structure, function and diversity of the healthy human microbiome
Studies of the human microbiome have revealed that even healthy individuals differ remarkably in the microbes that occupy habitats such as the gut, skin and vagina. Much of this...
The measurement and antecedents of affective, continuance and normative commitment to the organization
Organizational commitment has been conceptualized and measured in various ways. The two studies reported here were conducted to test aspects of a three‐component model of commit...
Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection
Due to the safety risks and training sample inefficiency, it is often preferred to develop controllers in simulation. However, minor differences between the simulation and the r...
Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification.
This study evaluated the sensitivity of maximum likelihood (ML)-, generalized least squares (GLS)-, and asymptotic distribution-free (ADF)-based fit indices to model misspecific...
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics ...
The cornerstones of competitive advantage: A resource‐based view
Abstract This paper elucidates the underlying economics of the resource‐based view of competitive advantage and integrates existing perspectives into a parsimonious model of res...
Singular Integrals and Differentiability Properties of Functions.
Singular integrals are among the most interesting and important objects of study in analysis, one of the three main branches of mathematics. They deal with real and complex numb...