| Towards in-network data prediction in wireless sensor networks TB Matos, A Brayner, JEB Maia Proceedings of the 2010 ACM Symposium on Applied Computing, 592-596, 2010 | 45 | 2010 |
| An Empirical Method for Discovering Tax Fraudsters: A Real Case Study of Brazilian Fiscal Evasion T Matos, JAF de Macedo, JM Monteiro Proceedings of the 19th International Database Engineering & Applications …, 2015 | 35 | 2015 |
| Leveraging feature selection to detect potential tax fraudsters T Matos, JA Macedo, F Lettich, JM Monteiro, C Renso, R Perego, ... Expert Systems with Applications 145, 113128, 2020 | 23 | 2020 |
| A Practical Guide to Support Change-proneness Prediction C Melo, ML da Cruz, A Martins, T Matos, JM Monteiro, J Machado In Proceedings of the 21st International Conference on Enterprise …, 2019 | 10 | 2019 |
| An Accurate Tax Fraud Classifier with Feature Selection based on Complex Network Node Centrality Measure T Matos, JAF Macedo, JM Monteiro, F Lettich Proceedings of the 19th International Conference on Enterprise Information …, 2017 | 1 | 2017 |
| Agregação e predição de dados em rede com precisão ajustável no processamento de consultas em redes de sensores sem fio TB Matos, Â Brayner, JE Maia Proceedings of the 23rd Brazilian symposium on Databases, 150-164, 2008 | | 2008 |
José Maria MonteiroProfessor de Ciência da Computação, Universidade Federal do CearáDirección de correo verificada de dc.ufc.br
