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DFraud3- Multi-Component Fraud Detection freeof Cold-start
v1v2 (latest)

DFraud3- Multi-Component Fraud Detection freeof Cold-start

Saeedreza Shehnepoor
R. Togneri
Wei Liu
Bennamoun
    AAML
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Papers citing "DFraud3- Multi-Component Fraud Detection freeof Cold-start"

3 / 3 papers shown
Title
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms
Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms
Kiril Danilchenko
Michael Segal
Dan Vilenchik
61
10
0
26 May 2022
Social Fraud Detection Review: Methods, Challenges and Analysis
Social Fraud Detection Review: Methods, Challenges and Analysis
Saeedreza Shehnepoor
R. Togneri
Wei Liu
Bennamoun
AAML
86
2
0
10 Nov 2021
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Saeedreza Shehnepoor
R. Togneri
Wei Liu
Bennamoun
32
19
0
25 May 2021