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

Lightweight Automated Feature Monitoring for Data Streams

João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

Published at KDD 2022 - AutoML workshop

PDF | arXiv

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs

Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro

Published at AAAI - AI in Financial Services: Adaptiveness, Resilience & Governance workshop’2022

PDF | arXiv | Youtube

Active learning for imbalanced data under cold start

Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

Published at ICAIF 2021 conference

PDF | arXiv | Youtube

GUDIE: A flexible, user-defined method to extract subgraphs of interest from large graphs

Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro

Published at ECML PKDD 2021 - Graph Embedding and Mining workshop

PDF | arXiv | Youtube

Related Blog Posts

Page printed in 30 Sep 2022. Plase see https://research.feedzai.com/research_area/machine-learning for the latest version.