Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …

Digital health data are multimodal and high-dimensional. A patient's health state can be
characterized by a multitude of signals including medical imaging, clinical variables …

Most existing Android malware detection and categorization techniques are static
approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program …

Prediction of student's performance became an urgent desire in most of educational entities
and institutes. That is essential in order to help at-risk students and assure their retention …

Neuroimaging has greatly enhanced the cognitive neuroscience understanding of the
human brain and its variation across individuals (neurodiversity) in both health and disease …

In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …

With more than two million applications, Android marketplaces require automatic and
scalable methods to efficiently vet apps for the absence of malicious threats. Recent …

Neuroimaging has identified many correlates of emotion but has not yet yielded brain
representations predictive of the intensity of emotional experiences in individuals. We used …

A great deal of effort has been devoted to reducing the risk of spurious scientific discoveries,
from the use of sophisticated validation techniques, to deep statistical methods for …

Markers are needed to facilitate early detection of pancreatic ductal adenocarcinoma
(PDAC), which is often diagnosed too late for effective therapy. Starting with a PDAC cell …