| A new intelligent system methodology for time series forecasting with artificial neural networks TAE Ferreira, GC Vasconcelos, PJL Adeodato Neural Processing Letters 28, 113-129, 2008 | 135 | 2008 |
| A hybrid search method for the vehicle routing problem with time windows HC Brandão de Oliveira, GC Vasconcelos Annals of Operations Research 180, 125-144, 2010 | 110 | 2010 |
| Investigating feedforward neural networks with respect to the rejection of spurious patterns GC Vasconcelos, MC Fairhurst, DL Bisset Pattern Recognition Letters 16 (2), 207-212, 1995 | 66 | 1995 |
| MLP ensembles improve long term prediction accuracy over single networks PJL Adeodato, AL Arnaud, GC Vasconcelos, RCLV Cunha, ... International Journal of Forecasting 27 (3), 661-671, 2011 | 65 | 2011 |
| Boosting the performance of over-sampling algorithms through under-sampling the minority class RFAB de Morais, GC Vasconcelos Neurocomputing 343, 3-18, 2019 | 51 | 2019 |
| A new evolutionary method for time series forecasting TAE Ferreira, GC Vasconcelos, PJL Adeodato Proceedings of the 7th annual conference on genetic and evolutionary …, 2005 | 39 | 2005 |
| Hybrid differential evolutionary system for financial time series forecasting RA Araujo, GC Vasconcelos, TAE Ferreira 2007 IEEE Congress on Evolutionary Computation, 4329-4336, 2007 | 29 | 2007 |
| A multi-start simulated annealing algorithm for the vehicle routing problem with time windows HCB de Oliveira, GC Vasconcelos, GB Alvarenga 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06), 137-142, 2006 | 26 | 2006 |
| A new evolutionary approach for time series forecasting TAE Ferreira, GC Vasconcelos, PJL Adeodato 2007 IEEE Symposium on Computational Intelligence and Data Mining, 616-623, 2007 | 25 | 2007 |
| A neural network based solution for the credit risk assessment problem GC Vasconcelos, PJL Adeodato, DSMP Monteiro IV Brazilian Conference on Neural Networks, São José dos Campos, 1999 | 22 | 1999 |
| Function approximation by polynomial wavelets generated from powers of sigmoids JF Marar, ECB Carvalho Filho, GC Vasconcelos Wavelet Applications III 2762, 365-374, 1996 | 22 | 1996 |
| The power of sampling and stacking for the pakdd-2007 cross-selling problem PJL Adeodato, GC Vasconcelos, AL Arnaud, RCLV Cunha, ... International Journal of Data Warehousing and Mining (IJDWM) 4 (2), 22-31, 2008 | 18 | 2008 |
| Efficient detection of spurious inputs for improving the robustness of MLP networks in practical applications GC Vasconcelos, MC Fairhurst, DL Bisset Neural Computing & Applications 3, 202-212, 1995 | 18 | 1995 |
| A perturbative approach for enhancing the performance of time series forecasting PSG de Mattos Neto, TAE Ferreira, AR Lima, GC Vasconcelos, ... Neural Networks 88, 114-124, 2017 | 17 | 2017 |
| A hybrid intelligent system approach for improving the prediction of real world time series TAE Ferreira, GC Vasconcelos, PJL Adeodato Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 17 | 2004 |
| Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set. PJL Adeodato, GC Vasconcelos, AL Arnaud, RAF Santos, RCLV Cunha, ... ICPR (3), 355-358, 2004 | 16 | 2004 |
| A robust method for the vrptw with multi-start simulated annealing and statistical analysis HCB de Oliveira, GC Vasconcelos, GB Alvarenga, RV Mesquita, ... 2007 IEEE Symposium on Computational Intelligence in Scheduling, 198-205, 2007 | 14 | 2007 |
| Object recognition under severe occlusions with a hidden Markov model approach FA Guerrero-Peña, GC Vasconcelos Pattern Recognition Letters 86, 68-75, 2017 | 13 | 2017 |
| Reducing traveled distance in the vehicle routing problem with time windows using a multi-start simulated annealing HCB de Oliveira, GC Vasconcelos, GB Alvarenga The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 13 | 2006 |
| Enhanced reliability of multilayer perceptron networks through controlled pattern rejection GC Vasconcelos, MC Fairhurst, DL Bisset Electronics Letters 3 (29), 261-263, 1993 | 13 | 1993 |
