Anti-Fraud Innovation Lab.
Who we are?
What we do?
Resource Center
Resource Center
Studies. Reports. News.
Clarify definitions. Find out patterns. Understand cases.
AI
Identity Theft
Forensics
Compliance
Cyber Fraud
GDPR
Blockchain
Ethics
Financial Fraud
Cryptocurrency Fraud
Counterfeiting
Food Fraud
Machine Learning
Research Fraud
Money Laundering
Recruitment Fraud
Corruption
AI
Prediction of Financial Statement Fraud using Machine Learning Techniques
Conference Papers
May 25, 2021
Read More
Counterfeiting
Fraud and Pandemics: From Spanish Flu to Covid-19
Blog Posts
May 18, 2021
Read More
Corruption
A Practical Guide on Reporting Mechanisms in Sport
Blog Posts
December 1, 2020
Read More
Corruption
Network approaches to the study of corruption
Journal Articles
December 17, 2019
Read More
Machine learning techniques and user authentication approaches for credit card fraud detection
Journal Articles
December 17, 2019
Read More
Corruption
When Are Women as Corrupt as Men?
Journal Articles
December 16, 2019
Read More
Corruption
The impact of perceived corruption on non-electoral forms of political behaviour
Journal Articles
December 16, 2019
Read More
Corruption predictability and corruption voting in Asian democracies
Journal Articles
December 16, 2019
Read More
Corruption
Relationship between corruption and innovation in developing and emerging economies
Journal Articles
November 27, 2019
Read More
Machine Learning
An anti-fraud framework for medical insurance based on deep learning
Journal Articles
November 26, 2019
Read More
Previous
Next
Featured Posts
Fraud detection techniques in the Bitcoin network
Prediction of Financial Statement Fraud using Machine Learning Techniques
Fraud and Pandemics: From Spanish Flu to Covid-19
Post Types
Conference Papers
Journal Articles
Newspaper Articles
Monographs
Blog Posts
Newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
📬 Subscribe to Our Newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
