Data Visualization

The goal of the Data Visualization group is to inspire and empower our users, Fraud Analysts and Data Scientists, to make accurate and fast decisions, making complex data understandable through insightful, accessible, and beautiful data experiences, while enabling the community to evolve together.

Research Focus:

  • Enhance explainability and governance of Machine Learning models
  • Complex fraud pattern detection and recognition
  • Accessibility in Data Visualization in a business setting

Recent Publications

A case study on implementing screen reader accessibility in dynamic visualizations

Rita Costa, Beatriz Malveiro, João Palmeiro, Pedro Bizarro

Published at EuroVis 2022 conference

PDF | EuroVis

Data+Shift: Supporting visual investigation of data distribution shifts by data scientists

João Palmeiro, Beatriz Malveiro, Rita Costa, David Polido, Ricardo Moreira, Pedro Bizarro

Published at EuroVis 2022 conference

PDF | EuroVis | ar5iv | Youtube

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