23 citations · 32 across the 6 of their papers we have counts for
6 papers
A Late Fusion Framework with Multiple Optimization Methods for Media Interestingness
Maria Shoukat, Khubaib Ahmad, Naina Said +3
The recent advancement in Multimedia Analytical, Computer Vision (CV), and Artificial Intelligence (AI) algorithms resulted in several interesting tools allowing an automatic analy…
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Kashif Ahmad, Firoj Alam, Junaid Qadir +8
Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. Thanks to digital technologies, such as smartphones and wearable devices, contacts…
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
Abdullah Hamid, Nasrullah Shiekh, Naina Said +4
The paper presents our solutions for the MediaEval 2020 task namely FakeNews: Corona Virus and 5G Conspiracy Multimedia Twitter-Data-Based Analysis. The task aims to analyze tweets…
Floods Detection in Twitter Text and Images
Naina Said, Kashif Ahmad, Asma Gul +2
In this paper, we present our methods for the MediaEval 2020 Flood Related Multimedia task, which aims to analyze and combine textual and visual content from social media for the d…
Active Learning for Event Detection in Support of Disaster Analysis Applications
Naina Said, Kashif Ahmad, Nicola Conci +1
Disaster analysis in social media content is one of the interesting research domains having abundance of data. However, there is a lack of labeled data that can be used to train ma…
Natural Disasters Detection in Social Media and Satellite imagery: a survey
Naina Said, Kashif Ahmad, Michael Regular +4
The analysis of natural disaster-related multimedia content got great attention in recent years. Being one of the most important sources of information, social media have been craw…