Publications

Tran, V., Lokanan, M., & Hoai Nam, V. (2019). Detecting Anomalies in Financial Statements Using Machine Learning Algorithm: The Case of Vietnamese Listed Firms. Asian Journal of Accounting Research

AI and Machine Learning, Publications / March 4, 2023 March 5, 2023

The purpose of this paper is to evaluate the possibility of rating the credit worthiness of a firm’s quarterly financial report using a dynamic anomaly detection method.

Lokanan, M.,& Liu, S. (2021). Predicting Fraud Victimization Using Classical Machine Learning. Entropy. 2021; 23(3):300.

AI and Machine Learning, Publications / March 4, 2023 March 5, 2023

Protecting financial consumers from investment fraud has been a recurring problem in Canada. The purpose of this paper is to predict the demographic characteristics of investors who are likely to be victims of investment fraud.