118 citations · 245 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
q-RBFNN:A Quantum Calculus-based RBF Neural Network
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique +3
In this research a novel stochastic gradient descent based learning approach for the radial basis function neural networks (RBFNN) is proposed. The proposed method is based on the…
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…
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem +2
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generatio…
DFraud3- Multi-Component Fraud Detection freeof Cold-start
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
Fraud review detection is a hot research topic inrecent years. The Cold-start is a particularly new but significant problem referring to the failure of a detection system to recogn…
ScoreGAN: A Fraud Review Detector based on Multi Task Learning of Regulated GAN with Data Augmentation
Saeedreza Shehnepoor, Roberto Togneri, Wei Liu +1
The promising performance of Deep Neural Networks (DNNs) in text classification, has attracted researchers to use them for fraud review detection. However, the lack of trusted labe…