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Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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viguardieiro/README.md

Hi! I am a research scientist currently affiliated with the Visualization and Data Analytics Research Center (VIDA) at New York University (NYU), where I work under the guidance of Professor Claudio Silva.

In 2023, I concluded my M.S. in Mathematical Modelling at the School of Applied Mathematics (EMAp) of Fundação Getulio Vargas (FGV). I was part of the Visual Data Science Lab (V-DS) and worked with Professors Jorge Poco and Marcos M. Raimundo (from Unicamp). I obtained my B.S. in Applied Mathematics from FGV/EMAp in 2020 under the supervision of Jorge Poco and Marcos M. Raimundo.

I am interested in Machine Learning, Explainable AI, AI Ethics, Topological Data Analysis, and Optimization.

My current research focuses on visualization systems for Explainable AI and Topological Data Analysis.

I previously researched Multi-Objective Machine Learning and the development of Fair ML models.

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  1. gale gale Public

    Forked from pnxenopoulos/gale

    Updated implementation of Globally Assessing Local Explanations (GALE) using the GUDHI library

    Python

  2. ENEM_TRI ENEM_TRI Public

    Analysis of the questions of the Brazilian National High School Exam (ENEM)

    Jupyter Notebook 1 1

  3. moopt_fairness moopt_fairness Public

    Notebooks e códigos do meu trabalho de conclusão de curso

    Jupyter Notebook 2

  4. lucasmoschen/project-network-science lucasmoschen/project-network-science Public

    Final project for the discipline Network Science of the Ph.D. course in Mathematical Modelling at FGV EMAp.

    Jupyter Notebook 2

  5. STI-DBSCAN STI-DBSCAN Public

    A Python implementation of sti-dbscan: an algorithm based on st-dbscan (which is based on dbscan) that clusters spatial-temporal interval data

    Python 2