Exploiting the large amount of available data for addressing relevant social problems has been one of the key challenges in data mining. Such efforts have been recently named“data science for social good” and attracted the attention of several researchers and institutions. We give a contribution in this objective in this paper considering a difficult public health problem, the timely monitoring...

Background and objectives: Birth spacing is an important variable for identification of fertility acceleration, total fertility rate, and maternal and fetal health. Therefore, special attention has been paid to this issue by researchers in the fields of medical sciences, health, and population. In addition, proper analysis of this concept is of foremost importance. Application of classical anal...

In this paper, we develop a parameter estimation method for factorially parametrized models such as Factorial Gaussian Mixture Model and Factorial Hidden Markov Model. Our contributions are two-fold. First, we show that the emission matrix of the standard Factorial Model is unidentifiable even if the true assignment matrix is known. Secondly, we address the issue of identifiability by making a ...

worry is considered as one of the shared cognitive components in generalized anxiety disorder (gad) and obsessive compulsive disorder (ocd). the study of cognitive factors influencing worry simultaneously has important implications for psychopathology. these factors have been discussed separately in different theoretical models. the aim of the present study was to investigate the simple and mul...

This paper presents a high-level access control model of the seL4 microkernel. We extend an earlier formalisation by Elkaduwe et al with non-determinism, explicit sharing of capability storage, and a delete-operation for entities. We formally prove that this new model can enforce system-global security policies as well as authority confinement. By treating sharing explicitly in the abstract acc...