The recent success and proliferation of machine learning deep have provided powerful tools, which are also utilized for encrypted traffic analysis, classification, threat detection in computer networks. These methods, neural networks particular, often complex require a huge corpus training data. Therefore, this paper focuses on collecting large up-to-date dataset with almost 200 fine-grained se...

The performance of a speaker verification (SV) system is normally determined by the false reject (FRR) and false accept (FAR) rates as averages on a population of test speakers. However, information on the FRR distribution is required when estimating the portion of clients that will suffer from an unacceptably high reject rate. This paper studies this distribution in a population using a SV sys...

In this paper the traditional household Euler equations are estimated for singles and separately for couples. Using the Consumer Expenditure Survey, I reject the Euler equations of couples, but I cannot reject the Euler equations of singles. This result is rationalized using an intertemporal model with no intra-household commitment. Using this model it can be shown that an excess sensitivity te...

Reject and repeat analysis is an integral aspect of quality assurance programs for medical imaging departments across the globe as it guides staff training, equipment set-up and department workflow. Rejected and repeated images represent unnecessary patient radiation exposure, inadequate imaging techniques and an increase in departmental expenses. The approach to reject analysis has significant...