Machine Learning
The Machine Learning (ML) group stands to advance AI to safeguard businesses and people from fraud and financial crime. The group aims to reimagine financial services, risk management, and financial crime prevention through the lens of state-of-the-art AI and propose product solutions to significant problems, such as identity, detection, and automation.
Research Focus:
- AI in Financial Services
- Deep Learning
- Data-centric AI
- AutoML
- AI safety, privacy, robustness
- ML Monitoring and Observability
- MLOps
- Network Science
Recent Publications
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Published at AAAI - AI in Financial Services: Adaptiveness, Resilience & Governance workshop’2022
Related Blog Posts
How Feedzai ARMS automates rule management in large scale systems
Learn how Feedzai ARMS automatically optimizes rule systems, all while achieving the detection performance required by our clients.
Ricardo Barata and Hugo Ferreira
Light Speedy Profiling to Fight Fraud
An overview of profiling methods, with data science and engineering experiments using exponential moving averages.
Pedro Cardoso and Marco O. P. Sampaio
ML-Powered Automatic Model Monitoring
The life of a data scientist at Feedzai, deploying and maintaining machine learning (ML) models in large scale production environments, constantly offers new exciting and challenging problems. In this post, we will discuss
Marco O. P. Sampaio
How Feedzai ARMS automates rule management in large scale systems
Learn how Feedzai ARMS automatically optimizes rule systems, all while achieving the detection performance required by our clients.
Ricardo Barata and Hugo Ferreira
Light Speedy Profiling to Fight Fraud
An overview of profiling methods, with data science and engineering experiments using exponential moving averages.
Pedro Cardoso and Marco O. P. Sampaio
ML-Powered Automatic Model Monitoring
The life of a data scientist at Feedzai, deploying and maintaining machine learning (ML) models in large scale production environments, constantly offers new exciting and challenging problems. In this post, we will discuss
Marco O. P. Sampaio
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