The availability of large-scale facial databases, together with the remarkable progresses of
deep learning technologies, in particular Generative Adversarial Networks (GANs), have led …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Amid the flood of fake news on Coronavirus disease of 2019 (COVID-19), now referred to as
COVID-19 infodemic, it is critical to understand the nature and characteristics of COVID-19 …

The emergence of AI has revolutionized video production, enabling innovative approaches
in artistic creation. With self-media's rise and demand for user-generated content, AI drives …

Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …

This work presents a new deep learning approach for keystroke biometrics based on a novel
Distance Metric Learning method (DML). DML maps input data into a learned representation …

This study proposes DeepWriteSYN, a novel on-line handwriting synthesis approach via
deep short-term representations. It comprises two modules: i) an optional and …

Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in
keystroke dynamics profiles is a central element for the accurate modeling of the behavioral …

Sentiment analysis is an active topic in Natural Language Processing (NLP). It has attracted
a significant interest of research community due to the wide range of applications, including …

The online social network is the largest network, more than 4 billion users use social media
and with its rapid growth, the risk of maintaining the integrity of data has tremendously …