Germano C. Vasconcelos

According to our database, Germano C. Vasconcelos authored at least 44 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Screening hardware and volume factors in distributed machine learning algorithms on spark.

Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel

Computing, 2021

2020

PT7 Web, an Annotated Portuguese Language Corpus.

Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel

Dataset, December, 2020

Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark.

Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Comparative Study of Fast Stacking Ensembles Families Algorithms.

Laura Maria Palomino Mariño, Agustín Alejandro Ortiz Díaz, Germano Crispim Vasconcelos

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Big Data Machine Learning Benchmark on Spark.

Jairson B. Rodrigues, Germano C. Vasconcelos

Dataset, June, 2019

Boosting the performance of over-sampling algorithms through under-sampling the minority class.

Romero F. A. B. de Morais, Germano C. Vasconcelos

Neurocomputing, 2019

A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion.

Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Germano Crispim Vasconcelos, Alexandre Cunha

CoRR, 2019

Improving Fast Adaptive Stacking of Ensembles.

Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos

Proceedings of the International Joint Conference on Neural Networks, 2019

Analysis of Cuckoo Search Efficiency.

Carlos Eduardo M. Barbosa, Germano C. Vasconcelos

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Eight Bio-inspired Algorithms Evaluated for Solving Optimization Problems.

Carlos Eduardo M. Barbosa, Germano C. Vasconcelos

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Object recognition under severe occlusions with a hidden Markov model approach.

F. A. Guerrero-Peña, Germano C. Vasconcelos

Pattern Recognit. Lett., 2017

A perturbative approach for enhancing the performance of time series forecasting.

Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti

Neural Networks, 2017

2016

Search-space sorting with hidden Markov models for occluded object recognition.

F. A. Guerrero-Peña, Germano C. Vasconcelos

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Cuckoo search optimization for short term wind energy forecasting.

Carlos Eduardo M. Barbosa, Germano C. Vasconcelos

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Case-based reasoning combined with neural networks for credit risk analysis.

Cesar Silva, Germano C. Vasconcelos, Hadautho Barros, Gabriel Franca

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013

Evaluation of Algorithm for Extraction of Lung Regions in CT Exams.

Pedro Melo, Germano C. Vasconcelos, Paula Diniz, Cleunio França, Jéssica Diniz, Magdala Novaes

Proceedings of the MEDINFO 2013, 2013

Improve Threshold Segmentation Using Features Extraction to Automatic Lung Delimitation.

Cleunio França, Germano C. Vasconcelos, Paula Diniz, Pedro Melo, Jéssica Diniz, Magdala Novaes

Proceedings of the MEDINFO 2013, 2013

2012

An experimental investigation of artificial immune system algorithms for credit risk assessment applications.

Antônio I. S. Nascimento, Germano C. Vasconcelos

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010

A hybrid search method for the vehicle routing problem with time windows.

Humberto Cesar Brandão de Oliveira, Germano Crispim Vasconcelos

Ann. Oper. Res., 2010

Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids.

Paulo J. L. Adeodato, Petrônio L. Braga, Adrian L. Arnaud, Germano C. Vasconcelos, Frederico Guedes, Hélio B. Menezes, Giorgio O. Limeira

Proceedings of the Trends in Applied Intelligent Systems, 2010

The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem.

Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. Oliveira Neto

Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009

The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge.

Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Neural Process. Lett., 2008

The Power of Sampling and Stacking for the PaKDD-2007 Cross-Selling Problem.

Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. O. Neto

Int. J. Data Warehous. Min., 2008

A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks.

Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos Sávio Malaquias Pessoa Monteiro

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Hybrid neural systems for large scale credit risk assessment applications.

B. P. de Amorim, Germano C. Vasconcelos, Lourdes Mattos Brasil

J. Intell. Fuzzy Syst., 2007

A Robust Method for the VRPTW with Multi-Start Simulated Annealing and Statistical Analysis.

Humberto Cesar Brandão de Oliveira, Germano Crispim Vasconcelos, Guilherme Bastos Alvarenga, Rafael Vargas Mesquita, Mariane Moreira de Souza

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

A New Evolutionary Approach for Time Series Forecasting.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Hybrid differential evolutionary system for financial time series forecasting.

Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

An evolutionary Morphological-Rank-Linear approach for time series prediction.

Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows.

Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga

Proceedings of the SBRN 2006, 2006

Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing.

Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga

Proceedings of the International Joint Conference on Neural Networks, 2006

Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time Windows.

Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Rafael Vargas Mesquita, Mariane Moreira de Souza

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005

A new evolutionary method for time series forecasting.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set.

Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Roberto A. F. Santos, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A hybrid intelligent system approach for improving the prediction of real world time series.

Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002

RULEXPERT: A Rule Discovery Tool.

Patrícia G. Ramos, Germano C. Vasconcelos

Proceedings of the FSDK'02, 2002

2000

Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction.

Guilherme A. B. Conde, Patrícia G. Ramos, Germano C. Vasconcelos

Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

1999

Off-line signature verification using an auto-associator cascade-correlation architecture.

Juliana Neiva de Gouvea Ribeiro, Germano Crispim Vasconcelos

Proceedings of the International Joint Conference Neural Networks, 1999

1997

A comparative study of the cascade-correlation architecture in pattern recognition applications.

Juliana N. G. Ribeiro, Germano C. Vasconcelos, Carlos R. O. Queiroz

Proceedings of the 4th Brazilian Symposium on Neural Networks, 1997

An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems.

Germano C. Vasconcelos, Juliana N. G. Ribeiro

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1995

An investigation of feedforward neural networks with respect to the detection of spurious patterns.

Germano Crispim Vasconcelos

PhD thesis, 1995

Investigating feedforward neural networks with respect to the rejection of spurious patterns.

Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset

Pattern Recognit. Lett., 1995

Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical Applications.

Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset

Neural Comput. Appl., 1995