The purpose of this research was to investigate the potential effectiveness of digital speech processing and pattern recognition techniques for the automatic recognition of gender from speech segments. In this paper "coarse" acoustic coefficients (autocorrelation, linear prediction, cepstrum, and reflection) were used to form test and reference templates for vowels, voiced fricatives, and unvoi...

The present paper discusses the association of power and approval motives with adolescent altruistic behaviour. Gender difference was also tried to calculate. The present study comprised of 140 students (70 boys and 70 girls) of age range 13-19 years. Participants were given Selfreport Altruism Scale, Power Motive Scale, and Approval Motive Scale. Results indicate that altruism is positively co...

This work introduces a real-time system able to lead humanoid robot behavior depending on the gender of the interacting person. It exploits Aldebaran NAO humanoid robot view capabilities by applying a gender prediction algorithm based on the face analysis. The system can also manage multiple persons at the same time, recognizing if the group is composed by men, women or is a mixed one and, in t...

Accurate prediction of demographic attributes from social media and other informal online content is valuable for marketing, personalization, and legal investigation. This paper describes the construction of a large, multilingual dataset labeled with gender, and investigates statistical models for determining the gender of uncharacterized Twitter users. We explore several different classifier t...

Interactive Computer Technologies (ICTs) have crept into education industry, thus dramatically causing transformation in instructional process. This study examined the relative and combined contributions of computer anxiety, self-concept and gender to teachers’ attitude towards the use of ICT(s). 454 Nigerian teachers constituted the sample. Three instruments were used to collect the data analy...

The task of gender and age classification based on texts and facial images has been studied extensively in the natural language processing community and the computer vision community respectively. Machine learning algorithms are particularly relevant in solving such classification problems. In the final project for CIS520 Machine Learning, we are presented with the task of gender and age classi...

Breastfeeding is negatively correlated with future fertility because nursing temporarily reduces fecundity and because mothers usually wean on becoming pregnant again. We model breastfeeding under son-biased fertility preferences and show that breastfeeding duration increases with birth order, especially near target family size; is lowest for daughters and children without older brothers becaus...

PURPOSE Accurate prediction of autograft size for anterior cruciate ligament reconstruction can assist in preoperative planning and decision-making regarding graft choices. This study seeks to determine the accuracy of MRI measurements by comparing intraoperative measurements of the patella, semitendinosis, and gracilis tendons while correlating these measurements with patient anthropometric da...

We experimented with several feature selection and reduction techniques, such as PCA, K-means, and Gabor filtering for images, and mutual information and td-idf encodings for blogs. Additionally, we compared the accuracy of different feature spaces and classification algorithms such as SVMs, KNN, Naive Bayes, and Boosting. Our experiments suggest that selecting good features has the largest eff...