Tackling climate change with machine learning
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 …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Detection and resolution of rumours in social media: A survey
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 …
unmoderated nature often leads to the emergence and spread of rumours, ie, items of …
REALTIME QA: what's the answer right now?
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 …
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
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 …
vision system. Although popular computer vision datasets like Cityscapes, MS-COCO …
Learning spatial-temporal regularized correlation filters for visual tracking
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …
Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management
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 …
interdisciplinary convergence in the field of crisis informatics and information and …
Design and analysis of a large-scale COVID-19 tweets dataset
R Lamsal - applied intelligence, 2021 - Springer
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 …
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
Fifteen years of social media in emergencies: a retrospective review and future directions for crisis informatics
C Reuter, MA Kaufhold - Journal of contingencies and crisis …, 2018 - Wiley Online Library
Social media has been established in many larger emergencies and crises. This process
has not started just a few years ago, but already 15 years ago in 2001 after the terrorist …
has not started just a few years ago, but already 15 years ago in 2001 after the terrorist …
Social media for intelligent public information and warning in disasters: An interdisciplinary review
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …
building capacity to the public information and warning approaches. Therefore, the author …
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
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 …
location descriptions, such as the locations of victims. Recent research has shown that many …