Alzheimer's disease (AD) is the most common type of dementia. The exact cause and
treatment of the disease are still unknown. Different neuroimaging modalities, such as …

In this paper we develop a framework for a sequential decision making under budget
constraints for multi-class classification. In many classification systems, such as medical …

Abstract Machine learning algorithms have successfully entered industry through many real-
world applications (eg, search engines and product recommendations). In these …

In recent years, Online Social Networks (OSNs) have radically changed the way people
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …

Humans are capable of perceiving a scene at a glance, and obtain deeper understanding
with additional time. Similarly, visual recognition deployments should be robust to varying …

Web page classification has become a challenging task due to the exponential growth of the
World Wide Web. Uniform Resource Locator (URL)‐based web page classification systems …

With the phenomenal growth of IoT devices and their exponentially increasing applications
at the edge of the network, it has become imminent to provide secure, flexible, and …

We present a convex framework to learn sequential decisions and apply this to the problem
of learning under a budget. We consider the structure proposed [1], where sensor …

Atrial fibrillation (AF) and ventricular arrhythmia (Arr) are among the most common and fatal
cardiac arrhythmias in the world. Electrocardiogram (ECG) data, collected as part of the UK …

Dementia is a syndrome caused by a chronic or progressive disease of the brain, which
affects memory, orientation, thinking, calculation, learning ability and language. The Clock …