10 citations · 23 across the 5 of their papers we have counts for
6 papers
Fake News Detection Through Graph-based Neural Networks: A Survey
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +1
The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, l…
Machine Learning-based Classification of Birds through Birdsong
Yueying Chang, Richard O. Sinnott
Audio sound recognition and classification is used for many tasks and applications including human voice recognition, music recognition and audio tagging. In this paper we apply Me…
An Energy-aware and Fault-tolerant Deep Reinforcement Learning based approach for Multi-agent Patrolling Problems
Chenhao Tong, Aaron Harwood, Maria A. Rodriguez +1
Autonomous vehicles are suited for continuous area patrolling problems. However, finding an optimal patrolling strategy can be challenging for many reasons. Firstly, patrolling env…
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Zihan Yang, Richard O. Sinnott, James Bailey +1
In recent years, one of the most popular techniques in the computer vision community has been the deep learning technique. As a data-driven technique, deep model requires enormous…
When Machine Learning Meets Congestion Control: A Survey and Comparison
Huiling Jiang, Qing Li, Yong Jiang +4
Machine learning (ML) has seen a significant surge and uptake across many diverse applications. The high flexibility, adaptability and computing capabilities it provides extends tr…
Are tiled display walls needed for astronomy?
Bernard F Meade, Christopher J Fluke, Steven Manos +1
Clustering commodity displays into a Tiled Display Wall (TDW) provides a cost-effective way to create an extremely high resolution display, capable of approaching the image sizes n…