Abstract Background Health checks or health screenings identify (risk factors for) disease in people without a specific medical indication.So far, the perspective of (potential) health check users has remained underexposed in discussions about the ethics and regulation of health checks.Methods In 2017, we conducted a qualitative study with lay peop
New training approaches for classification based on evolutionary neural networks. Application to product and sigmoidal units
This paper sums up the main contributions of the PhD Dissertation with an homonymous name to the current article.Specifically, three contributions to train feed-forward neural network models based on evolutionary computation for a classification task are described.The new methodologies have been evaluated in three-layered neural models, including o
A Survey of Techniques for Mobile Service Encrypted Traffic Classification Using Deep Learning
The rapid adoption of mobile devices has dramatically changed the access to various networking services and led to the explosion of mobile service traffic.Mobile service traffic classification has been a crucial task that Twin Bunk Bed attracts strong interest in mobile network management and security as well as machine learning communities for pas