Using deep learning methods, age and gender estimation from people’s facial area has become popular. Recently, with the increase in use of masks due to Covid-19, only eye people is seen. The periorbital region can give an idea about person’s characteristics, such as gender. This study it aimed predict images obtained by cutting photographs using Visual Geometry Group-16 (VGG16). With transfer m...

The general medical services scheme in Ireland provides free primary health care to low income families and other vulnerable groups. Expenditure on prescription medicine on the scheme is risk-adjusted using a simple age and gender model. This paper extends the number of risk adjusters to include other demographic and socio-economic factors, chronic illness indicators based on the chronic diseas...

Background. Gender identification by using skeletal is an important tool in forensic, medico-legal, bioarkeology, and anthropology. Traditional morphological methods depended on the anthropologist subjectivity that caused a significant difference among observer. This study aims to develop discriminant function for gender prediction Surabaya-Indonesia population age ranges 15-25-year-olds panora...

This article investigates whether gender imbalance may be conducive to domestic terrorism in developing countries. A female-dominated society may not provide sufficient administration, law, or order to limit domestic terrorism, especially since societies in developing countries primarily turn to males for administration, policing, and paramilitary forces. Other economic considerations support f...

In this paper, we focus on performance comparison of gender and age group recognition to perform robot’s application services for Human-Robot Interaction (HRI). HRI is a core technology that can naturally interact between human and robot. Among various HRI components, we concentrate audio-based techniques such as gender and age group recognition from multichannel microphones and sound board equ...

There is a growing interest in automatically predicting the gender and age of authors from texts. However, most research so far ignores that language use is related to the social identity of speakers, which may be different from their biological identity. In this paper, we combine insights from sociolinguistics with data collected through an online game, to underline the importance of approachi...

This paper describes the submission of the University of Washington’s Center for Data Science to the PAN 2014 author profiling task. We examine the predictive quality in terms of age and gender of several sets of features extracted from various genres of online social media. Through comparison, we establish a feature set which maximizes accuracy of gender and age prediction across all genres ex...

The research literature on predicting violence is particularly lacking in specifying risk factors for violence in adolescent girls. The recently developed Structured Assessment of Violence Risk in Youth [SAVRY; Borum et al., 2006] shows promise as it is empirically derived and incorporates dynamic factors in its assessment of risk. To date, there exists little information attesting to the relia...