Context: Research at the intersection of cybersecurity, Machine Learning (ML), and Software
Engineering (SE) has recently taken significant steps in proposing countermeasures for …

Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …

In this paper, we present a novel approach to predict crime in a geographic space from
multiple data sources, in particular mobile phone and demographic data. The main …

Research has proven that stress reduces quality of life and causes many diseases. For this
reason, several researchers devised stress detection systems based on physiological …

The rapid advance of computer technologies in data processing, collection, and storage has
provided unparalleled opportunities to expand capabilities in production, services …

With the growing popularity and usage of online social media services, people now have
accounts (some times several) on multiple and diverse services like Facebook, Linked In …

There have been great improvements in web technology over the past years which heavily
loaded the Internet with various digital contents of different fields. This made finding certain …

The goal of feature selection in text classification is to choose highly distinguishing features
for improving the performance of a classifier. The well-known text classification feature …

Spam is commonly defined as unwanted e-mails and it became a global threat against e-
mail users. Although, Support Vector Machine (SVM) has been commonly used in e-mail …

This timely introduction to spectral feature selection illustrates the potential of this powerful
dimensionality reduction technique in high-dimensional data processing. It presents the …