Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

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

In order to provide benchmark performance for Urdu text document classification, the
contribution of this paper is manifold. First, it provides a publicly available benchmark …

Common software vulnerabilities can result in severe security breaches, financial losses,
and reputation deterioration and require research effort to improve software security. The …

Text document classification is an important task for diverse natural language processing
based applications. Traditional machine learning approaches mainly focused on reducing …

This paper presents a novel two-stream approach for document image classification. The
proposed approach leverages textual and visual modalities to classify document images into …

Abstract Information technology systems face increasing cyber security threats, mostly from
insiders. Network security mechanism for insiders are not as strict as for rest. Also insider …

Insider threats are one of the most challenging and growing security threats which the
government agencies, organizations, and institutions face. In such scenarios, malicious (red) …

The curse of high dimensionality in text classification is a worrisome problem that requires
efficient and optimal feature selection (FS) methods to improve classification accuracy and …

Depression is one of the primary causes of global mental illnesses and an underlying
reason for suicide. The user generated text content available in social media forums offers …