14 citations · 32 across the 7 of their papers we have counts for
5 papers · 1 filter
Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications
Hongda Shen, Eren Kurshan
Detecting anomalies has become an increasingly critical function in the financial service industry. Anomaly detection is frequently used in key compliance and risk functions such a…
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
E. Kurshan, H. Shen, H. Yu
In recent years, the unprecedented growth in digital payments fueled consequential changes in fraud and financial crimes. In this new landscape, traditional fraud detection approac…
Label Augmentation via Time-based Knowledge Distillation for Financial Anomaly Detection
Hongda Shen, Eren Kursun
Detecting anomalies has become increasingly critical to the financial service industry. Anomalous events are often indicative of illegal activities such as fraud, identity theft, n…
Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking
Hongda Shen, Eren Kurshan
Machine learning models have widely been used in fraud detection systems. Most of the research and development efforts have been concentrated on improving the performance of the fr…
Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services
Eren Kurshan, Hongda Shen, Jiahao Chen
AI systems have found a wide range of application areas in financial services. Their involvement in broader and increasingly critical decisions has escalated the need for complianc…