Germano C. Vasconcelos - researchr alias

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Viewing Publication 1 - 33 from 33

2021

Screening hardware and volume factors in distributed machine learning algorithms on sparkJairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel. computing, 103(10):2203-2225, 2021. [doi]

2020

Time and Cost Prediction Models for Language Classification Over a Large Corpus on SparkJairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel. ssci 2020: 1702-1709 [doi]

2019

Analysis of Cuckoo Search EfficiencyCarlos Eduardo M. Barbosa, Germano C. Vasconcelos. cec 2019: 1351-1358 [doi]

Boosting the performance of over-sampling algorithms through under-sampling the minority classRomero F. A. B. de Morais, Germano C. Vasconcelos. ijon, 343:3-18, 2019. [doi]

Improving Fast Adaptive Stacking of EnsemblesLaura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos. ijcnn 2019: 1-8 [doi]

2018

Eight Bio-inspired Algorithms Evaluated for Solving Optimization ProblemsCarlos Eduardo M. Barbosa, Germano C. Vasconcelos. icaisc 2018: 290-301 [doi]

2017

A perturbative approach for enhancing the performance of time series forecastingPaulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti. NN, 88:114-124, 2017. [doi]

Object recognition under severe occlusions with a hidden Markov model approachF. A. Guerrero-Peña, Germano C. Vasconcelos. prl, 86:68-75, 2017. [doi]

2016

Cuckoo search optimization for short term wind energy forecastingCarlos Eduardo M. Barbosa, Germano C. Vasconcelos. cec 2016: 1765-1772 [doi]

Search-space sorting with hidden Markov models for occluded object recognitionF. A. Guerrero-Pena, Germano C. Vasconcelos. is 2016: 47-52 [doi]

2012

An experimental investigation of artificial immune system algorithms for credit risk assessment applicationsAntônio I. S. Nascimento, Germano C. Vasconcelos. cec 2012: 1-8 [doi]

2010

Domain Driven Data Mining for Unavailability Estimation of Electrical Power GridsPaulo J. L. Adeodato, Petrônio L. Braga, Adrian L. Arnaud, Germano C. Vasconcelos, Frederico Guedes, Hélio B. Menezes, Giorgio O. Limeira. ieaaie 2010: 357-366 [doi]

The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling ProblemPaulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha. In David Taniar, Laura Irina Rusu, editors, Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments. pages 297-306, IGI Global, 2010. [doi]

2009

The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification ChallengePaulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro. ijcnn 2009: 57-62 [doi]

2008

2007

2006

Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time WindowsHumberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Rafael Vargas Mesquita, Mariane Moreira de Souza. his 2006: 30 [doi]

Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated AnnealingHumberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga. ijcnn 2006: 3013-3020 [doi]

A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time WindowsHumberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga. sbrn 2006: 137-142 [doi]

2005

A new evolutionary method for time series forecastingTiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato. gecco 2005: 2221-2222 [doi]

2004

Neural Networks vs Logistic Regression: a Comparative Study on a Large Data SetPaulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Roberto A. F. Santos, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro. icpr 2004: 355-358 [doi]

A hybrid intelligent system approach for improving the prediction of real world time seriesTiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato. cec 2004: 736-743 [doi]

2002

RULEXPERT: A Rule Discovery ToolPatrícia G. Ramos, Germano C. Vasconcelos. fskd 2002: 467-470

2000

Neuro-Fuzzy Networks for Pattern Classification and Rule ExtractionGuilherme A. Conde, Patrícia G. Ramos, Germano C. Vasconcelos. sbrn 2000: 289 [doi]

1997

A comparative study of the cascade-correlation architecture in pattern recognition applicationsJuliana N. G. Ribeiro, Germano C. Vasconcelos, Carlos R. O. Queiroz. sbrn 1997: 31-40 [doi]

An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition ProblemsGermano C. Vasconcelos, Juliana N. G. Ribeiro. iconip 1998: 1133-1136

1995

Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical ApplicationsGermano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset. nca, 3(4):202-212, 1995.

Investigating feedforward neural networks with respect to the rejection of spurious patternsGermano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset. prl, 16(2):207-212, 1995. [doi]

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