2 papers
cs.LG2026
Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms
Lea Multerer, Michele Inchingolo, David Kletz +3
The application of machine learning-based predictive algorithms to Anti-Money Laundering (AML) has grown rapidly, driven by the vast volume of financial transaction data available…
cs.CV2024
Improving Post-Earthquake Crack Detection using Semi-Synthetic Generated Images
Piercarlo Dondi, Alessio Gullotti, Michele Inchingolo +4
Following an earthquake, it is vital to quickly evaluate the safety of the impacted areas. Damage detection systems, powered by computer vision and deep learning, can assist expert…