21 citations · 62 across the 15 of their papers we have counts for
17 papers
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Motivated by potential financial gain, companies may hire fraudster groups to write fake reviews to either demote competitors or promote their own businesses. Such groups are consi…
Social Fraud Detection Review: Methods, Challenges and Analysis
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Social reviews have dominated the web and become a plausible source of product information. People and businesses use such information for decision-making. Businesses also make use…
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Social reviews are indispensable resources for modern consumers' decision making. For financial gain, companies pay fraudsters preferably in groups to demote or promote products an…
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Jie An, Siyu Huang, Yibing Song +3
Universal style transfer retains styles from reference images in content images. While existing methods have achieved state-of-the-art style transfer performance, they are not awar…
WEmbSim: A Simple yet Effective Metric for Image Captioning
Naeha Sharif, Lyndon White, Mohammed Bennamoun +2
The area of automatic image caption evaluation is still undergoing intensive research to address the needs of generating captions which can meet adequacy and fluency requirements.…
LCEval: Learned Composite Metric for Caption Evaluation
Naeha Sharif, Lyndon White, Mohammed Bennamoun +2
Automatic evaluation metrics hold a fundamental importance in the development and fine-grained analysis of captioning systems. While current evaluation metrics tend to achieve an a…