Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

Machine-learning methods can assist with the medical decision-making processes at the
both the clinical and diagnostic levels. In this article, we first review historical milestones and …

There is a consistent rise in chronic diseases worldwide. These diseases decrease immunity
and the quality of daily life. The treatment of these disorders is a challenging task for medical …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

Cancer data sets contains many details of patient information, out of which only a few
attributes contribute in predicting the accurate stage of cancer. Certain attributes of the entire …

While there are many factors which could contribute to the occurrence of breast cancer, it is
very difficult to attribute the exact environmental and other factors contributing to it, but still it …

Sentiment analysis of tweets is a powerful application of mining social media sites that can
be used for a variety of social sensing tasks. Common feature engineering techniques …

Sentiment Analysis (SA) aims to extract useful information from online Unstructured User-
Generated Contents (UUGC) and classify them into positive and negative classes. State-of …

A software practitioner is interested in the solution to “for a given project, what is the
minimum number of software metrics that should be considered for building an effective …

Ensemble learning is a powerful tool that has shown promise when applied towards
bioinformatics datasets. In particular, the Random Forest classifier has been an effective and …