Tales Matos

According to our database, Tales Matos authored at least 4 papers between 2015 and 2020.

Collaborative distances:

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

2020

Leveraging feature selection to detect potential tax fraudsters.

Tales Matos, José A. F. de Macêdo, Francesco Lettich, José Maria Monteiro, Chiara Renso, Raffaele Perego, Franco Maria Nardini

Expert Syst. Appl., 2020

2019

A Practical Guide to Support Change-proneness Prediction.

Cristiano Sousa Melo, Matheus Mayron Lima da Cruz, Antônio Diogo Forte Martins, Tales Matos, José Maria da Silva Monteiro Filho, Javam de Castro Machado

Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

2017

An Accurate Tax Fraud Classifier with Feature Selection based on Complex Network Node Centrality Measure.

Tales Matos, José Antônio Fernandes de Macêdo, José Maria Monteiro, Francesco Lettich

Proceedings of the ICEIS 2017, 2017

2015

An Empirical Method for Discovering Tax Fraudsters: A Real Case Study of Brazilian Fiscal Evasion.

Tales Matos, José Antônio Fernandes de Macêdo, José Maria Monteiro

Proceedings of the 19th International Database Engineering & Applications Symposium, 2015