CLAIRE: clustering evaluation based on item response theory and model agreement
CLAIRE is a clustering-evaluation method proposed by Ferreira-Junior and collaborators for comparing models through agreement-based item responses.
Writing
Writing
Selected posts, project notes, and research-related writing.
Machine Learning Engineer at Kunumi
Jr. Data Scientist at Sem Processo
birt-gd: a Python implementation of β4-IRT.
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought
Data Scientist Intern at Sem Processo
Data Scientist Intern at Aplicativos de Bolso
Design and Implementation of IRT models for Clustering Evaluation
A database to fit item response theory models
System Developer in the CICC-PB Integration Project (AI + Data Science)
Founding member of TAIL - Technology and Artificial Intelligence League, director of mathematics
Mentoring program of the vital statistics discipline by the UFPB statistics department
Extras