Editorial member


Paulo S G De Mattos Neto Universidade Federal de Pernambuco, Brazil

Publications (Powered by Scopus)

Silva, D. A., Alves, G. I., de Mattos Neto, P. S., & Ferreira, T. A. (2014). Measurement of Fitness Function Efficiency using Data Envelopment Analysis. Expert Systems with Applications, 41(16), 7147-7160.

Firmino, P.R.A., de Mattos Neto, P.S.G., Ferreira, T.A.E. (2014). Correcting and combining time series forecasters. Neural Networks, 50, 1-11.

de Mattos Neto, P. S., Madeiro, F., Ferreira, T. A., & Cavalcanti, G. D. (2014). Hybrid intelligent system for air quality forecasting using phase adjustment. Engineering Applications of Artificial Intelligence, 32, 185-191.

Albuquerque Filho, F. S. D., Madeiro, F., Fernandes, S. M., de Mattos Neto, P. S., & Ferreira, T. A. (2013). Time-series forecasting of pollutant concentration levels using particle swarm optimization and artificial neural networks. Química Nova, 36(6), 783-789.

de Mattos Neto, P. S., Cavalcanti, G. D., Madeiro, F., & Ferreira, T. A. (2013). An ideal gas approach to classify countries using financial indices. Physica A: Statistical Mechanics and its Applications, 392(1), 177-183.

Santos, H. C., Alves, G. I., de Lima, N. F., de Mattos Neto, P. S., & Ferreira, T. A. (2012, October). A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. In Neural Networks (SBRN), 2012 Brazilian Symposium on (pp. 244-249). IEEE.

de Mattos Neto, P. S., Ferreira, T., & Cavalcanti, G. D. (2011, July). A simulation environment for volatility analysis of developed and in development markets. In Neural Networks (IJCNN), The 2011 International Joint Conference on (pp. 2450-2456). IEEE.

de Mattos Neto, P. S., Silva, D. A., Ferreira, T. A., & Cavalcanti, G. D. (2011). Market volatility modeling for short time window. Physica A: Statistical Mechanics and its Applications, 390(20), 3444-3453.

de Mattos Neto, P. S., Lima, A. R., Ferreira, T., & Cavalcanti, G. D. (2010, July). An intelligent perturbative approach for the time series forecasting problem. In Neural Networks (IJCNN), The 2010 International Joint Conference on (pp. 1-8). IEEE.

Aranildo Rodrigues, L. J., de Mattos Neto, P. S., & Ferreira, T. (2009, June). A prime step in the time series forecasting with hybrid methods: The fitness function choice. In Neural Networks, 2009. IJCNN 2009. International Joint Conference on (pp. 2703-2710). IEEE.

LJ, A. R., de Mattos Neto, P. S., Albuquerque, J., Bocanegra, S., & Ferreira, T. A. (2010). Forecasting Chaotic and Non-Linear Time Series with Artificial Intelligence and Statistical Measures. In: Gregorio Romero Rey; Luisa Martinez Muneta. (Org.). Modelling Simulation and Optimization. 1ed.. 615-636.

Neto, P. S., Souza, R. B., Cavalcanti, G. D., & Ferreira, T. A. (2013, September). An Intelligent Agent to Classify Countries Based on Financial Indices. In Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on (pp. 223-229). IEEE.

Oliveira, T. F., de Oliveira, R. T., Firmino, P. R. A., Neto, P. S., & Ferreira, T. A. (2013, September). Combination of Biased Artificial Neural Network Forecasters. In Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on (pp. 522-527). IEEE.