Germano C. Vasconcelos

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 11

Top Topics

Object Recognition

Solving Optimization Problems

Top Venues

IEEE Congress on Evolutionary Computation

Publications

Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel
Screening hardware and volume factors in distributed machine learning algorithms on spark. Computing 103 (10) (2021)
Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel
Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark. SSCI (2020)
Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos
Improving Fast Adaptive Stacking of Ensembles. IJCNN (2019)
Romero F. A. B. de Morais, Germano C. Vasconcelos
Boosting the performance of over-sampling algorithms through under-sampling the minority class. Neurocomputing 343 (2019)
Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
Analysis of Cuckoo Search Efficiency. CEC (2019)
Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
Eight Bio-inspired Algorithms Evaluated for Solving Optimization Problems. ICAISC (1) (2018)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
A perturbative approach for enhancing the performance of time series forecasting. Neural Networks 88 (2017)
F. A. Guerrero-Peña, Germano C. Vasconcelos
Object recognition under severe occlusions with a hidden Markov model approach. Pattern Recognit. Lett. 86 (2017)
F. A. Guerrero-Peña, Germano C. Vasconcelos
Search-space sorting with hidden Markov models for occluded object recognition. IEEE Conf. on Intelligent Systems (2016)
Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
Cuckoo search optimization for short term wind energy forecasting. CEC (2016)
Cesar Silva, Germano C. Vasconcelos, Hadautho Barros, Gabriel Franca
Case-based reasoning combined with neural networks for credit risk analysis. IJCNN (2015)
Cleunio França, Germano C. Vasconcelos, Paula Diniz, Pedro Melo, Jéssica Diniz, Magdala Novaes
Improve Threshold Segmentation Using Features Extraction to Automatic Lung Delimitation. MedInfo (2013)
Pedro Melo, Germano C. Vasconcelos, Paula Diniz, Cleunio França, Jéssica Diniz, Magdala Novaes
Evaluation of Algorithm for Extraction of Lung Regions in CT Exams. MedInfo (2013)
Antônio I. S. Nascimento, Germano C. Vasconcelos
An experimental investigation of artificial immune system algorithms for credit risk assessment applications. IEEE Congress on Evolutionary Computation (2012)
Paulo J. L. Adeodato, Petrônio L. Braga, Adrian L. Arnaud, Germano C. Vasconcelos, Frederico Guedes, Hélio B. Menezes, Giorgio O. Limeira
Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids. IEA/AIE (2) (2010)
Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. IJCNN (2009)
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)
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 Process. Lett. 28 (2) (2008)
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. Int. J. Data Warehous. Min. 4 (2) (2008)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A New Evolutionary Approach for Time Series Forecasting. CIDM (2007)
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)
B. P. de Amorim, Germano C. Vasconcelos, Lourdes Mattos Brasil
Hybrid neural systems for large scale credit risk assessment applications. J. Intell. Fuzzy Syst. 18 (5) (2007)
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)
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)
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)
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)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A new evolutionary method for time series forecasting. GECCO (2005)
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)
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
A hybrid intelligent system approach for improving the prediction of real world time series. IEEE Congress on Evolutionary Computation (2004)
Patrícia G. Ramos, Germano C. Vasconcelos
RULEXPERT: A Rule Discovery Tool. FSKD (2002)
Guilherme A. B. Conde, Patrícia G. Ramos, Germano C. Vasconcelos
Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction. SBRN (2000)
Germano C. Vasconcelos, Juliana N. G. Ribeiro
An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems. ICONIP (2) (1997)
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)
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 Comput. Appl. 3 (4) (1995)
Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset
Investigating feedforward neural networks with respect to the rejection of spurious patterns. Pattern Recognit. Lett. 16 (2) (1995)