Abstract: The transferability of adversarial examples allows for the attack on unknown deep neural networks (DNNs), posing a serious threat to many applications and attracting great attention. In this ...

Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

Researchers at Cambridge University made a big splash in April last year when they announced that they had strong evidence ...

This draft guidance provides guidance to sponsors and applicants submitting investigational new drug applications (INDs), new ...

Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Objective: To identify clinical variables causally associated with hair cortisol concentration (HCC) in dogs with obesity using a Bayesian analysis. Study design: A retrospective analysis of clinical ...

Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...