Journal article

CLAIRE

Ferreira-Junior, M., Lima Neto, E.A., Ferreira, M.R.P., Silva Filho, T.M., Prudencio, R.B.C.
CLAIRE: clustering evaluation based on item response theory and model agreement.
Machine Learning, 114, 256 (2025).

CLAIRE evaluates clustering models through model agreement patterns and item response theory, estimating model ability and instance difficulty in unsupervised settings.

Evaluating regression algorithms at the instance level using item response theory

Moraes, J.V.C., Reinaldo, J.T.S., Ferreira-Junior, M., Silva Filho, T., Prudêncio, R.B.C.
Evaluating regression algorithms at the instance level using item response theory.
Knowledge-Based Systems, 240, 108076 (2022).

This paper applies item response theory to regression evaluation at the instance level and introduces Gamma-IRT as a way to analyze absolute prediction errors, dataset difficulty, and model ability.

Preprint

β⁴-IRT

Ferreira-Junior, M., Reinaldo, J.T.S., Silva Filho, T.M., Lima Neto, E.A., Prudencio, R.B.C.
β⁴-IRT: A New β³-IRT with Enhanced Discrimination Estimation.
arXiv preprint, 2023.

This work proposes a new version of β³-IRT with improved discrimination estimation and better parameter recovery behavior.

Conference paper

Iris-CV

Rocha Filho, I., Teixeira, J., Lins, J.W.L., Silva Filho, T., Ramos, T., Silva, C., Sousa, A.C.C., Sousa, F., Ferreira Junior, M., do Rêgo, T.G., Malheiros, Y.
Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought.
BRACIS 2021.

Software

birt-gd

Python package for Beta-IRT experiments and model fitting.