Diego Minatel

According to our database, Diego Minatel authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FairDIF: debiasing classifiers with item response theory and differential item functioning.

Diego Minatel, Antonio Rafael Sabino Parmezan, Nícolas Roque dos Santos, Mariana Curi, Ricardo B. C. Prudêncio, Alneu de Andrade Lopes

AI Ethics, April, 2026

Multi-view Graph Condensation via Tensor Decomposition.

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

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

2025

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

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

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

A DIF-Driven Threshold Tuning Method for Improving Group Fairness.

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

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

Graph Condensation for Text Classification.

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

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

A Spatio-Temporal Approach for Identifying Microorganisms in Short Image Sequences.

Antonio Rafael Sabino Parmezan, João Pedro Ribeiro da Silva, Diego Minatel, Solange O. Rezende

Proceedings of the IEEE International Conference on Big Data, 2025

Content-Based Macroscopic Microbial Image Retrieval.

Antonio Rafael Sabino Parmezan, Angela Patricia Mestas Muñante, Diego Minatel, Solange O. Rezende

Proceedings of the IEEE International Conference on Big Data, 2025

2024

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

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

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

2023

Unfairness in Machine Learning for Web Systems Applications.

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

Proceedings of the 29th Brazilian Symposium on Multimedia and the Web, 2023

Fairness-Aware Model Selection Using Differential Item Functioning.

Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes

Proceedings of the International Conference on Machine Learning and Applications, 2023

Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks.

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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method.

Diego Minatel, Antonio Rafael Sabino Parmezan, Mariana Curi, Alneu de Andrade Lopes

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2021

Local-entity resolution for building location-based social networks by using stay points.

Diego Minatel, Vinícius Ferreira, Alneu de Andrade Lopes

Theor. Comput. Sci., 2021

2019

A Multilevel Approach for Building Location-Based Social Network by using Stay Points.

Diego Minatel, Vinícius Ferreira, Alneu de Andrade Lopes

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Trajectory Network Assessment Based on Analysis of Stay Points Cluster.

Diego Minatel, Alan Valejo, Alneu de Andrade Lopes

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018