Machine Learning Engineer • Statistics Researcher • Ferreira-Junior

Machine learning evaluation and statistical modeling for real systems.

I work on applied ML products and research across clustering evaluation, item response theory, regression analysis, and trustworthy AI.

Selected publications Professional resume
  • CLAIRE published in Machine Learning by Springer Nature.
  • Gamma-IRT for regression evaluation published in Knowledge-Based Systems.
  • β⁴-IRT available as an arXiv preprint.

Research

Selected publications

  • CLAIRE
    Clustering evaluation based on item response theory and model agreement.
  • Evaluating regression algorithms at the instance level using item response theory
    Journal article on instance-level evaluation of regression algorithms with Gamma-IRT.
  • β⁴-IRT
    A new β³-IRT with enhanced discrimination estimation.

Experience

Professional focus

  • Kunumi — Machine Learning Engineer
  • Sem Processo — Jr. Data Scientist
  • Sem Processo — Data Scientist Intern

Topics

Current areas of work

  • Clustering evaluation
  • Item response theory
  • Probabilistic modeling
  • NLP
  • Data products
  • Trustworthy AI

Selected writing

Projects, papers, and work notes

CLAIRE

A research note on the method proposed by Ferreira-Junior for agreement-based clustering evaluation with item response theory.

Iris-CV

A paper and dataset effort showing that iris classification is more challenging than it first appears.