user-generated medical messages on internet contain extensive information related to adverse drug reactions (adrs) and are known as valuable resources for post-marketing drug surveillance. the aim of this study was to find an effective method to identify messages related to adrs automatically from online user reviews.we conducted experiments on online user reviews using different feature set an...

In this paper we present a new feature modeling technique. This work was motivated by the fact that although for over two decades feature modeling techniques are used in software research for domain analysis and modeling of Software Product Lines, it has not found its way to the industry. Feature Assembly modeling overcomes some of the limitations of the current feature modeling techniques. We ...

In this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fMRI) data. In the preprocessing step, the number of fMRI time points is reduced using principal component analysis (PCA). Then, independent component analysis (ICA) is used for further data analysis. It estimates independent components (ICs) of...

Feature set dimensionality reduction via Discriminant Analysis (DA) is one of the most sought after approaches in many applications. In this paper, a novel nonlinear DA technique is presented based on a hybrid of Artificial Neural Networks (ANN) and the Uncorrelated Linear Discriminant Analysis (ULDA). Although dimensionality reduction via ULDA can present a set of statistically uncorrelated fe...

The World Wide Web (WWW) is a reservoir of enormous amount of data which is primarily embedded within unstructured text documents. E-commerce websites, social networking sites, and discussion forums have become a common place for writing informal opinions about products and other related information. A substantial amount of research has been directed towards mining these texts and concludes on ...

Facial Expression Recognition has been a very important topic for research in computer pattern recognition and currently there is no method of facial Expression recognition system that have 100% recognition rate. The purpose of this research paper is to analysis of performance of Gabor filter and average Gabor filter. Feature extraction is the key step on which recognition rate depends for faci...