Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Despite the increasing use of social media platforms for information and news gathering, its
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …

Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …

This paper presents a vision for a Disaster City Digital Twin paradigm that can:(i) enable
interdisciplinary convergence in the field of crisis informatics and information and …

Visual scene understanding is the core task in making any crucial decision in any computer
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …

Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …

Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …

Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …