With the emergence of computer networks as one of the primary platforms of communication, and with their adoption for an increasingly broad range of applications, there is a growing need for high-quality network traffic ...

Mechanisms for improving the execution efficiency of graph algorithms on Data-Parallel Architectures were proposed and identified. Execution of graph algorithms on GPGPU architectures, the prevalent data-parallel architectures ...

This thesis focuses on the classification of seizures, together with finding efficient and scalable ways to obtain high-quality datasets in order to train deep neural networks. It was motivated by the need to automate the ...

The security landscape is constantly evolving. Therefore, in order to build better defenses, it is critical to evaluate emerging and existing threats to better understand how and where to prioritize future security efforts. ...

Online social media such as Facebook and Twitter and communities such as Wikipedia and Stackoverflow turn to become an inseparable part of today's lifestyle. Users usually participate via a variety of ways like sharing ...

K-mer indices and de Bruijn graphs are important data structures in bioinformatics with multiple applications ranging from foundational tasks such as error correction, alignment, and genome assembly, to knowledge discovery ...

With the growing capabilities of the Internet of Things and proliferation of mobile devices interest in the use of real-time data as a means for input to distributed online simulations has increased. Online simulations ...

Translating natural language into source code or programs is an important problem in natural language understanding -- both in terms of practical applications and in terms of understanding usage of language to affect action. ...