Vitoria Guardieiro

Research scientist at NYU working on visualization systems for Explainable AI

Published

  1. Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2023). “Multi-Objective Machine Learning - A Systematic Review” (MS dissertation). School of Applied Mathematics, Fundação Getulio Vargas.

  2. Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2023). “Enforcing fairness using ensemble of diverse Pareto-optimal models”. Data Mining and Knowledge Discovery.

  3. Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2022). “Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance”. Proceedings of the 15th International Conference on Educational Data Mining.

  4. Vitoria Guardieiro, Jorge Poco. (2021). “Exploring counterfactual antecedents to reduce criminality in Rio de Janeiro” (Project report). School of Applied Mathematics, Fundação Getulio Vargas.

Under Review

  • Parikshit Solunke, Vitoria Guardieiro, João Rulff, Peter Xenopoulos, Gromit Yeuk-Yin Chan, Brian Barr, Luis Gustavo Nonato, and Claudio Silva. “Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations”.

  • Priscylla Silva, Vitoria Guardieiro, Brian Barr, Claudio Silva, Luis Gustavo Nonato. “Visagreement: Visualizing and Exploring Explanations (Dis)Agreement”.