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

Show Me What’s Wrong!: Combining Charts and Text to Guide Data Analysis

Beatriz Feliciano, Rita Costa, Jean Alves, Javier Liebana, Diogo Duarte, Pedro Bizarro

Published at NLVIZ, a workshop at IEEE VIS 2024

PDF | arXiv | YouTube

AutoVizuA11y: a Tool to Automate Screen Reader Accessibility in Charts

Diogo Duarte, Rita Costa, Pedro Bizarro, Carlos Duarte

Published at EuroVis 2024

PDF | GitHub | npm | YouTube

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

PDF | EuroVis | ar5iv | YouTube

Related Blog Posts

Page printed in 8 Dec 2024. Plase see https://research.feedzai.com/research_area/data-visualization for the latest version.