In this paper, we present our approach for author profiling task based on Arabic content (Twitter case), which was one of the tasks required in PAN at CLEF 2017. Author profiling is the process of identifying authors’ traits, which constitute the profile of an author, by analysing his/her writings. In our research, we considered the gender and the variety (dialect) of an author as two important...

Data mining today is being used widely in diverse areas. For example: fraudulent systems, recommender systems, disease prediction, and numerous other applications. One such application is exploited in this article. This paper presents an approach to detect gender of a person through frontal facial image, using techniques of data mining and Delaunay triangulation. Gender prediction can prove to ...

In this paper, a novel gender prediction scheme based on a gait analysis is proposed. For the gait analysis, we propose a novel feature extraction scheme that uses the time series variation in the joint positions directly. Here, normalization by linear interpolation is adopted to set the number of samples of a walking period as the same constant for all target humans. The classifier for gender ...

We tested an integrative model of individual and dyadic variables contributing to intimate partner violence (IPV) perpetration. Based on the vulnerability-stress-adaptation (VSA) model, we hypothesized that three "enduring vulnerabilities" (i.e., antisocial behavior, hostility, and depressive symptoms) would be associated with a "maladaptive process" (i.e., negative relationship attributions) t...

Physicians’ recommendations often require prediction of patients’ intertemporal preferences. Towards the end of understanding the character of these predictions, we conduct laboratory experiments exploring the existence of stereotypes in intertemporal decision-making. Participants were asked to predict intertemporal decisions made by third parties described only by age and gender. We find evide...

background: ischemic heart disease (ihd) is the main cause of morbidity and mortality worldwide, and a considerable part of these patients attend to emergency departments, which increases the burden to these busy departments. the aim of this study was to develop a prediction model enabling prediction of all cause emergency department (ed) visits in patients with documented coronary stenosis in ...