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Publications of Author

1. Patrícia G. Ramos, Germano C. Vasconcelos
   RULEXPERT: A Rule Discovery Tool. [Citation Graph (0, 0)][DBLP]
   FSKD, 2002, pp:467-470 [Conf]
   
2. Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
   A new evolutionary method for time series forecasting. [Citation Graph (0, 0)][DBLP]
   GECCO, 2005, pp:2221-2222 [Conf]
   
3. Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Rafael Vargas Mesquita, Mariane Moreira de Souza
   Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time Windows. [Citation Graph (0, 0)][DBLP]
   HIS, 2006, pp:30- [Conf]
   
4. Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Roberto A. F. Santos, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro
   Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set. [Citation Graph (0, 0)][DBLP]
   ICPR (3), 2004, pp:355-358 [Conf]
   
5. Guilherme A. Conde, Patrícia G. Ramos, Germano C. Vasconcelos
   Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction. [Citation Graph (0, 0)][DBLP]
   SBRN, 2000, pp:289- [Conf]
   
6. Juliana N. G. Ribeiro, Germano C. Vasconcelos, Carlos R. O. Queiroz
   A comparative study of the cascade-correlation architecture in pattern recognition applications. [Citation Graph (0, 0)][DBLP]
   SBRN, 1997, pp:31-40 [Conf]
   
7. Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset
   Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical Applications. [Citation Graph (0, 0)][DBLP]
   Neural Computing and Applications, 1995, v:3, n:4, pp:202-212 [Journal]
   
8. Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset
   Investigating feedforward neural networks with respect to the rejection of spurious patterns. [Citation Graph (0, 0)][DBLP]
   Pattern Recognition Letters, 1995, v:16, n:2, pp:207-212 [Journal]
   
9. Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
   A New Evolutionary Approach for Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
   CIDM, 2007, pp:616-623 [Conf]
   
10. 
    A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks. [Citation Graph (, )][DBLP]
    
    
11. 
    Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing. [Citation Graph (, )][DBLP]
    
    
12. 
    A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows. [Citation Graph (, )][DBLP]
    
    
13. 
    Hybrid differential evolutionary system for financial time series forecasting. [Citation Graph (, )][DBLP]
    
    
14. 
    An evolutionary Morphological-Rank-Linear approach for time series prediction. [Citation Graph (, )][DBLP]