Depression is ranked as the largest contributor to global disability and is also a major
reason for suicide. Still, many individuals suffering from forms of depression are not treated …

With the rise of the Internet, there is a growing need to build intelligent systems that are
capable of efficiently dealing with early risk detection (ERD) problems on social media, such …

Depression is a psychological disorder that affects over three hundred million humans
worldwide. A person who is depressed suffers from anxiety in day-to-day life, which affects …

Social media platforms present significant threats against underage users targeted for
predatory intents. Many early research works have applied the footprints left by online …

Neural Networks sequentially build high-level features through their successive layers. We
propose here a new neural network model where each layer is associated with a set of …

In this article, we address the problem of early classification (EC) of temporal sequences
with adaptive prediction times. We frame EC as a sequential decision making problem and …

E-communication represents a major threat to users who are exposed to a number of risks
and potential attacks. Detecting these risks with as much anticipation as possible is crucial …

We propose a novel classification technique whose aim is to select an appropriate
representation for each datapoint, in contrast to the usual approach of selecting a …

Social media has transformed into a crucial channel for political expression. Twitter,
especially, is a vital platform used to exchange political hate in Pakistan. Political hate …

Abstract The Author Profiling (AP) task aims to predict demographic characteristics about the
authors from documents (eg, age, gender, native language). The research so far has …