 | 2008 |
| 17 |  | Paulo J. L. Adeodato,
Germano C. Vasconcelos,
Adrian L. Arnaud,
Rodrigo C. L. V. Cunha,
Domingos Sávio Malaquias Pessoa Monteiro:
A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks.
ICPR 2008: 1-4 |
| 16 |  | Paulo J. L. Adeodato,
Germano C. Vasconcelos,
Adrian L. Arnaud,
Rodrigo C. L. V. Cunha,
Domingos S. M. P. Monteiro,
Rosalvo F. O. Neto:
The Power of Sampling and Stacking for the PaKDD-2007 Cross-Selling Problem.
IJDWM 4(2): 22-31 (2008) |
| 15 |  | Tiago A. E. Ferreira,
Germano C. Vasconcelos,
Paulo J. L. Adeodato:
A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks.
Neural Processing Letters 28(2): 113-129 (2008) |
| 2007 |
| 14 |  | Tiago A. E. Ferreira,
Germano C. Vasconcelos,
Paulo J. L. Adeodato:
A New Evolutionary Approach for Time Series Forecasting.
CIDM 2007: 616-623 |
| 13 |  | Ricardo de A. Araújo,
Germano C. Vasconcelos,
Tiago A. E. Ferreira:
An evolutionary Morphological-Rank-Linear approach for time series prediction.
IEEE Congress on Evolutionary Computation 2007: 4321-4328 |
| 12 |  | Ricardo de A. Araújo,
Germano C. Vasconcelos,
Tiago A. E. Ferreira:
Hybrid differential evolutionary system for financial time series forecasting.
IEEE Congress on Evolutionary Computation 2007: 4329-4336 |
| 11 |  | B. P. de Amorim,
Germano C. Vasconcelos,
Lourdes Mattos Brasil:
Hybrid neural systems for large scale credit risk assessment applications.
Journal of Intelligent and Fuzzy Systems 18(5): 455-464 (2007) |
| 2006 |
| 10 |  | 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.
HIS 2006: 30 |
| 9 |  | Humberto Cesar Brandao de Oliveira,
Germano C. Vasconcelos,
Guilherme Bastos Alvarenga:
Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing.
IJCNN 2006: 3013-3020 |
| 8 |  | Humberto Cesar Brandao de Oliveira,
Germano C. Vasconcelos,
Guilherme Bastos Alvarenga:
A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows.
SBRN 2006: 137-142 |
| 2005 |
| 7 |  | Tiago A. E. Ferreira,
Germano C. Vasconcelos,
Paulo J. L. Adeodato:
A new evolutionary method for time series forecasting.
GECCO 2005: 2221-2222 |
| 2004 |
| 6 |  | 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.
ICPR (3) 2004: 355-358 |
| 2002 |
| 5 |  | Patrícia G. Ramos,
Germano C. Vasconcelos:
RULEXPERT: A Rule Discovery Tool.
FSKD 2002: 467-470 |
| 2000 |
| 4 |  | Guilherme A. Conde,
Patrícia G. Ramos,
Germano C. Vasconcelos:
Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction.
SBRN 2000: 289 |
| 1997 |
| 3 |  | Juliana N. G. Ribeiro,
Germano C. Vasconcelos,
Carlos R. O. Queiroz:
A comparative study of the cascade-correlation architecture in pattern recognition applications.
SBRN 1997: 31-40 |
| 1995 |
| 2 |  | Germano C. Vasconcelos,
Michael C. Fairhurst,
David L. Bisset:
Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical Applications.
Neural Computing and Applications 3(4): 202-212 (1995) |
| 1 |  | Germano C. Vasconcelos,
Michael C. Fairhurst,
David L. Bisset:
Investigating feedforward neural networks with respect to the rejection of spurious patterns.
Pattern Recognition Letters 16(2): 207-212 (1995) |