Feedzai Research regularly publishes a variety of updates, interviews, talks, and other presentations. Think of this section as a series of post cards from our journey to continuously explore new ideas and technologies to shape the next generation of how we reinvent the fight against fraud and financial crime.
Data Viz Lisboa meetup by our Data Viz group, Jun 19, 6 PM
Accesibility in DataVis: Beyond the Visual, a talk by Rita Costa and Diogo Duarte
Montreal AI Ethics Institute highlights Feedzai Research paper
MAIEI highlights our ICML'2022 paper, "Human-AI Collaboration in Decision-Making: Beyond Learning to Defer"
FairGBM paper accepted at ICLR
FairGBM: Gradient Boosting with Fairness Constraints
Feedzai leads Portuguese organizations in European patent submissions
With 20 patent submissions, Feedzai tops the ranking for the 2nd year in a row
“Turning the tables” paper and fairness testing datasets presented at NeurIPS’2022
Paper, datasets, datasheets, and code are available
Our LaundroGraph algorithm hits the news
TechXplore.com posts news article on LaundroGraph
Winners revealed for the Feedzai Women in Science scholarships
Msc Scholarships: Mariana Lima, Ana Gutiérrez, and Isabel Portugal. Phd scholarship: Maria Osório
Feedzai releases FairGBM in open-source for non-commercial uses
Another year with multiple papers at KDD
"Lightweight Automated Feature Monitoring […]" @KDD-AutoML and "Understanding Unfairness in Fraud Detection […]" @KDD-MLF workshops
Two papers accepted at ICML workshops
“Human-AI Collaboration […] Learning to Defer”@ICML-HMCaT + “Prisoners of Their Own Devices: How Models Induce Data Bias […]”@ICML-RDMDE
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