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

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

Published at ICLR 2023 workshop Trustworthy ML

arXiv

Fairness-Aware Data Valuation for Supervised Learning

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at ICLR 2023 workshop Trustworthy ML

arXiv | Youtube

FairGBM: Gradient Boosting with Fairness Constraints

André F Cruz, Catarina Belém, Sérgio Jesus, João Bravo, Pedro Saleiro, Pedro Bizarro

Published at ICLR 2023, International Conference on Learning Representations

arXiv | Youtube

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation

Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro

Published at NeurIPS 2022

PDF | arXiv | Kaggle

A Case Study on Designing Evaluations of ML Explanations with Simulated User Studies

Ada Martin, Valerie Chen, Sérgio Jesus, Pedro Saleiro

Published at ICLR 2023 workshop Trustworthy ML

arXiv

Fairness-Aware Data Valuation for Supervised Learning

José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro

Published at ICLR 2023 workshop Trustworthy ML

arXiv | Youtube

FairGBM: Gradient Boosting with Fairness Constraints

André F Cruz, Catarina Belém, Sérgio Jesus, João Bravo, Pedro Saleiro, Pedro Bizarro

Published at ICLR 2023, International Conference on Learning Representations

arXiv | Youtube

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation

Sérgio Jesus, José Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, João Gama, Pedro Bizarro

Published at NeurIPS 2022

PDF | arXiv | Kaggle

Recent Blog Posts

Page printed in 6 Jun 2023. Plase see https://research.feedzai.com for the latest version.