Thiago J. M. Moura

According to our database, Thiago J. M. Moura authored at least 11 papers between 2013 and 2026.

Collaborative distances:

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

2026

Predicting occupational accidents in Brazilian cities: a machine learning-based approach.

Jefferson de Morais Toledo, Thiago José Marques Moura

Int. J. Data Sci. Anal., June, 2026

2025

R3D: an approach combining cost-sensitive and insensitive classifiers to achieve more balanced scores.

Helton Souza Lima, Damires Yluska de Souza Fernandes, Thiago José Marques Moura

Int. J. Data Sci. Anal., November, 2025

2024

Occupational Accidents Prediction in Brazil: An Approach Using Regression Machine Learning Algorithms.

J. M. Toledo, Thiago J. M. Moura

Proceedings of the Enterprise Information Systems - 26th International Conference, 2024

Occupational Accidents Prediction in Brazilian States: A Machine Learning Based Approach.

Jefferson de Morais Toledo, Thiago J. M. Moura

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

2021

MINE: A framework for dynamic regressor selection.

Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira

Inf. Sci., 2021

On the Evaluation of Competence Measures for Time Series Forecasting.

Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

On the Evaluation of Classification Methods Applied to Requests for Revision of Registered Debts.

Helton Souza Lima, Damires Yluska de Souza Fernandes, Thiago José Marques Moura, Daniel Sabóia

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

2020

On the Selection of the Competence Measure for Dynamic Regressor Selection.

Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Evaluating Competence Measures for Dynamic Regressor Selection.

Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

Combining diversity measures for ensemble pruning.

George D. C. Cavalcanti, Luiz S. Oliveira, Thiago J. M. Moura, Guilherme V. Carvalho

Pattern Recognit. Lett., 2016

2013

Managing User Social Context to Enhance Data-Oriented Applications.

Marcelo Freitas, Davi Bandeira, Livio Ribeiro, Thiago J. M. Moura, Damires Souza

Proceedings of the 2013 IEEE Seventh International Conference on Semantic Computing, 2013