Advancing Machine Learning Methods for High-Frequency Financial Time-Series Data
Mechanistic Interpretability for Time-Series Transformers
Identifying Causal Drivers of User Behaviour in Transaction Processes through Data Reuse and Targeted A/B Testing
Reinforcement Learning for Integrated Transaction Authentication and Authorization
Data-Driven Mathematical Modelling and Computational Methods for Pricing and Hedging Renewable Energy Contracts
Robust Fraud Detection with Causal Machine Learning
Knowledge-Driven Learning for XAI in Fraud Detection
HyperMining: Explainable Anti-Money Laundering
ESG Regulation Impact on Financial Stability
Artificial Intelligence for Due-Diligence Analysis