Germano C. Vasconcelos

2008
15	EE	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
14	EE	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
13	EE	Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato: A New Evolutionary Approach for Time Series Forecasting. CIDM 2007: 616-623
12	EE	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
11	EE	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
10	EE	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
9	EE	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
8	EE	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
2005
7	EE	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	EE	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	EE	Guilherme A. Conde, Patrícia G. Ramos, Germano C. Vasconcelos: Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction. SBRN 2000: 289
1997
3	EE	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	EE	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)

Coauthor Index

1	Paulo J. L. Adeodato	[6] [7] [13] [14] [15]
2	Guilherme Bastos Alvarenga	[8]
3	B. P. de Amorim	[10]
4	Ricardo de A. Araújo	[11] [12]
5	Adrian L. Arnaud	[6] [15]
6	David L. Bisset	[1] [2]
7	Lourdes Mattos Brasil	[10]
8	Guilherme A. Conde	[4]
9	Rodrigo C. L. V. Cunha	[6] [15]
10	Michael C. Fairhurst	[1] [2]
11	Tiago Alessandro Espínola Ferreira (Tiago A. E. Ferreira)	[7] [11] [12] [13] [14]
12	Rafael Vargas Mesquita	[9]
13	Domingos S. M. P. Monteiro	[6]
14	Domingos Sávio Malaquias Pessoa Monteiro	[15]
15	Humberto Cesar Brandao de Oliveira	[8] [9]
16	Carlos R. O. Queiroz	[3]
17	Patrícia G. Ramos	[4] [5]
18	Juliana N. G. Ribeiro	[3]
19	Roberto A. F. Santos	[6]
20	Mariane Moreira de Souza	[9]

Colors in the list of coauthors