Abstract Machine learning algorithms have been used widely in various applications and
areas. To fit a machine learning model into different problems, its hyper-parameters must be …

Intrusion detection is one of the important security problems in todays cyber world. A
significant number of techniques have been developed which are based on machine …

Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

How can end users efficiently influence the predictions that machine learning systems make
on their behalf? This paper presents Explanatory Debugging, an approach in which the …

This work creates and makes publicly available the most comprehensive dataset to date
regarding climate change and human opinions via Twitter. It has the heftiest temporal …

With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …

Cyberbullying has become a major problem around the world with the increasing usage of
social networks. In this direction, many studies are conducted to detect cyberbullying content …

The growing number of online open-access journals promotes academic exchanges, but the
prevalence of predatory journals is undermining the scholarly reporting process. Data …

Text data is important for many domains, from healthcare to marketing to the digital
humanities, but specialized approaches are necessary to create features for machine …

For a given software bug report, identifying an appropriate developer who could potentially
fix the bug is the primary task of bug triaging. Automatic bug triaging is formulated as a …