research
∙
01/07/2022
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
Motivated by potential financial gain, companies may hire fraudster grou...
share
research
∙
11/10/2021
Social Fraud Detection Review: Methods, Challenges and Analysis
Social reviews have dominated the web and become a plausible source of p...
research
∙
05/25/2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Social reviews are indispensable resources for modern consumers' decisio...
research
∙
06/11/2020
GANgster: A Fraud Review Detector based on Regulated GAN with Data Augmentation
Financial implications of written reviews provide great incentives for b...
research
∙
06/10/2020
DFraud3- Multi-Component Fraud Detection freeof Cold-start
Fraud review detection is a hot research topic inrecent years. The Cold-...
research
∙
04/26/2019
I-vector Based Features Embedding for Heart Sound Classification
Cardiovascular disease (CVD) is considered as one of the main causes of ...
research
∙
03/10/2017
