Search Results for author: Saeedreza Shehnepoor

Found 7 papers, 0 papers with code

Spatio-Temporal Graph Representation Learning for Fraudster Group Detection

no code implementations7 Jan 2022 Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun

Then we use an RNN on the spatial relations to predict the spatio-temporal relations of reviewers in the group.

Graph Representation Learning

Social Fraud Detection Review: Methods, Challenges and Analysis

no code implementations10 Nov 2021 Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun

Many studies proposed approaches based on user behaviors and review text to address the challenges of fraud detection.

Decision Making Fraud Detection

DFraud3- Multi-Component Fraud Detection freeof Cold-start

no code implementations10 Jun 2020 Saeedreza Shehnepoor, Roberto Togneri, Wei Liu, Mohammed Bennamoun

In this research, instead of focusing only on one component, detecting either fraud reviews or fraud users (fraudsters), vector representations are learnt for each component, enabling multi-component classification.

Component Classification Fraud Detection +1

Statistical feature embedding for heart sound classification

no code implementations26 Apr 2019 Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor

In this study, an approach is proposed for normal/abnormal heart sound classification on the Physionet challenge 2016 dataset.

Classification Dimensionality Reduction +1

NetSpam: a Network-based Spam Detection Framework for Reviews in Online Social Media

no code implementations10 Mar 2017 Saeedreza Shehnepoor, Mostafa Salehi, Reza Farahbakhsh, Noel Crespi

Nowadays, a big part of people rely on available content in social media in their decisions (e. g. reviews and feedback on a topic or product).

Spam detection

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