Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

FairDIF: Debiasing Classifiers with Item Response Theory and Differential Item Functioning

Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Cúri, Ricardo Bastos Cavalcante Prudêncio, and Alneu de Andrade Lopes

AI and Ethics, 2026

DIF-PP: Threshold Optimization Informed by IRT Models for Group Fairness in Machine Learning

Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Cúri, and Alneu de Andrade Lopes

ACM SIGAPP Applied Computing Review, 2025

Influence of data stratification criteria on fairer classifications

Diego Minatel, Nícolas Roque dos Santos, Angelo Cesar Mendes da Silva, Mariana Cúri, Ricardo Marcondes Marcacini, and Alneu de Andrade Lopes

Journal of Information and Data Management, 2025

Conference Papers

Multi-view Graph Condensation via Tensor Decomposition

Nícolas Roque dos Santos, Dawon Ahn, Diego Minatel, Alneu de Andrade Lopes, and Evangelos E. Papalexakis

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining (WSDM), 2026

Graph Condensation for Text Classification

René Vieira Santin, Diego Minatel, Nícolas Roque dos Santos, and Solange Oliveira Rezende

Brazilian Conference on Intelligent Systems (BRACIS), 2025

One-mode Projection of Bipartite Graphs for Text Classification using Graph Neural Networks

Nícolas Roque dos Santos, Diego Minatel, and Alan Demétrius Baria Valejo

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC), 2025

A DIF-Driven Threshold Tuning Method for Improving Group Fairness

Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Cúri, and Alneu de Andrade Lopes

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC), 2025

Semi-Supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network

Nícolas Roque dos Santos, Diego Minatel, Alan Demétrius Baria Valejo, and Alneu de Andrade Lopes

IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA), 2024

Bipartite Graph Coarsening for Text Classification using Graph Neural Networks

Nícolas Roque dos Santos, Diego Minatel, Alan Demétrius Baria Valejo, and Alneu de Andrade Lopes

26th Iberoamerican Congress on Pattern Recognition (CIARP), 2023

Unfairness in Machine Learning for Web Systems Applications

Diego Minatel, Nícolas Roque dos Santos, Angelo Cesar Mendes da Silva, Mariana Cúri, Ricardo Marcondes Marcacini, and Alneu de Andrade Lopes

29th Brazilian Symposium on Multimedia and the Web (WebMedia), 2023

Item Response Theory in Sample Reweighting to Build Fairer Classifiers

Diego Minatel, Nícolas Roque dos Santos, Vinícius Ferreira da Silva, Mariana Cúri, and Alneu de Andrade Lopes

10th International Conference on Information Management and Big Data (SIMBig), 2023

Data stratification analysis on the propagation of discriminatory effects in binary classification

Diego Minatel, Angelo Cesar Mendes da Silva, Nícolas Roque dos Santos, Mariana Cúri, Ricardo Marcondes Marcacini, and Alneu de Andrade Lopes

XI Symposium on Knowledge Discovery, Mining, and Learning (KDMiLe), 2023

Preprints

Spectral Regularization for Diffusion Models

Satish Chandran*, Nícolas Roque dos Santos*, Yunshu Wu, Greg Ver Steeg, and Evangelos E. Papalexakis (*Equal contribution)

Preprint, 2026