State-of-the-Art Innovations
to Prevent Financial Risk

The Feedzai Research department invests in applied research to improve our products and help users have a better experience. We work closely with Product and Customer Success to develop and transfer innovations. We focus on long-term, disruptive, state-of-the-art research, produce and protect our IP, publish peer reviewed work, contribute to open-source, partner with external researchers, and sponsor scholarships.

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

Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions

José Pombal, André F. Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at KDD 2022 - Machine Learning in Finance workshop

PDF | arXiv | Youtube

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

Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions

José Pombal, André F. Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at KDD 2022 - Machine Learning in Finance workshop

PDF | arXiv | Youtube

Recent Blog Posts

Page printed in 26 Nov 2022. Plase see https://research.feedzai.com for the latest version.