A Study on the Influence of Parameter ?- on Performance of RBF Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. - Adriano L. I. Oliveira; Ericles A. Medeiros; Thyago A. B. V. Rocha; Miguel E. R. Bezerra; Ronaldo C. Veras (HIS, 2005)

On the Influence of Parameter theta- on Performance of Rbf Neural Networks Trained with the Dynamic Decay Adjustment Algorithm. - Adriano L. I. Oliveira; Ericles A. Medeiros; Thyago A. B. V. Rocha; Miguel E. R. Bezerra; Ronaldo C. Veras (Int. J. Neural Syst., 2006)

A Constructive RBF Neural Network for Estimating the Probability of Defects in Software Modules. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Silvio R. L. Meira (IJCNN, 2007)

Enhancing RBF-DDA Algorithm's Robustness: Neural Networks Applied to Prediction of Fault-Prone Software Modules. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato; Silvio R. L. Meira (IFIP AI, 2008)

Predicting software defects: A cost-sensitive approach. - Miguel E. R. Bezerra; Adriano L. I. Oliveira; Paulo J. L. Adeodato (SMC, 2011)