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ORCIDGermano C. Vasconcelos
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2020 – today
- 2021
[j10]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): 2203-2225 (2021)- 2020
- [c29]Laura Maria Palomino Mariño, Agustín Alejandro Ortiz Díaz, Germano Crispim Vasconcelos:
Comparative Study of Fast Stacking Ensembles Families Algorithms. BRACIS (2) 2020: 456-470 - [c28]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: 1702-1709 - [d2]Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel:
PT7 Web, an Annotated Portuguese Language Corpus. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j9]Romero F. A. B. de Morais, Germano C. Vasconcelos:
Boosting the performance of over-sampling algorithms through under-sampling the minority class. Neurocomputing 343: 3-18 (2019) - [c27]Carlos Eduardo M. Barbosa, Germano C. Vasconcelos:
Analysis of Cuckoo Search Efficiency. CEC 2019: 1351-1358 - [c26]Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos:
Improving Fast Adaptive Stacking of Ensembles. IJCNN 2019: 1-8 - [d1]Jairson B. Rodrigues, Germano C. Vasconcelos:
Big Data Machine Learning Benchmark on Spark. IEEE DataPort, 2019 - [i1]Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Tsang Ing Ren, Germano Crispim Vasconcelos, Alexandre Cunha:
A Multiple Source Hourglass Deep Network for Multi-Focus Image Fusion. CoRR abs/1908.10945 (2019) - 2018
- [c25]Carlos Eduardo M. Barbosa, Germano C. Vasconcelos:
Eight Bio-inspired Algorithms Evaluated for Solving Optimization Problems. ICAISC (1) 2018: 290-301 - 2017
- [j8]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: 114-124 (2017) - [j7]F. A. Guerrero-Peña, Germano C. Vasconcelos:
Object recognition under severe occlusions with a hidden Markov model approach. Pattern Recognit. Lett. 86: 68-75 (2017) - 2016
- [c24]Carlos Eduardo M. Barbosa, Germano C. Vasconcelos:
Cuckoo search optimization for short term wind energy forecasting. CEC 2016: 1765-1772 - [c23]F. A. Guerrero-Peña, Germano C. Vasconcelos:
Search-space sorting with hidden Markov models for occluded object recognition. IEEE Conf. on Intelligent Systems 2016: 47-52 - 2015
- [c22]Cesar Silva, Germano C. Vasconcelos, Hadautho Barros, Gabriel Franca:
Case-based reasoning combined with neural networks for credit risk analysis. IJCNN 2015: 1-8 - 2013
- [c21]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: 1159 - [c20]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: 1176 - 2012
- [c19]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: 1-8 - 2010
- [j6]Humberto Cesar Brandão de Oliveira, Germano Crispim Vasconcelos:
A hybrid search method for the vehicle routing problem with time windows. Ann. Oper. Res. 180(1): 125-144 (2010) - [c18]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: 357-366 - [p1]Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. Oliveira Neto:
The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies 2010: 297-306
2000 – 2009
- 2009
- [c17]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: 57-62 - 2008
- [j5]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): 22-31 (2008) - [j4]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): 113-129 (2008) - [c16]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 - 2007
- [j3]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): 455-464 (2007) - [c15]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 - [c14]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 - [c13]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A New Evolutionary Approach for Time Series Forecasting. CIDM 2007: 616-623 - [c12]Humberto Cesar Brandão de Oliveira, Germano Crispim Vasconcelos, Guilherme Bastos Alvarenga, Rafael Vargas Mesquita, Mariane Moreira de Souza:
A Robust Method for the VRPTW with Multi-Start Simulated Annealing and Statistical Analysis. CISched 2007: 198-205 - 2006
- [c11]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 - [c10]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 - [c9]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
- [c8]Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato:
A new evolutionary method for time series forecasting. GECCO 2005: 2221-2222 - 2004
- [c7]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: 736-743 - [c6]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
- [c5]Patrícia G. Ramos, Germano C. Vasconcelos:
RULEXPERT: A Rule Discovery Tool. FSKD 2002: 467-470 - 2000
- [c4]Guilherme A. B. Conde, Patrícia G. Ramos, Germano C. Vasconcelos:
Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction. SBRN 2000: 289
1990 – 1999
- 1999
- [c3]Juliana Neiva de Gouvea Ribeiro, Germano Crispim Vasconcelos:
Off-line signature verification using an auto-associator cascade-correlation architecture. IJCNN 1999: 2882-2886 - 1997
- [c2]Germano C. Vasconcelos, Juliana N. G. Ribeiro:
An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems. ICONIP (2) 1997: 1133-1136 - [c1]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
- [b1]Germano Crispim Vasconcelos:
An investigation of feedforward neural networks with respect to the detection of spurious patterns. University of Kent, UK, 1995 - [j2]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): 202-212 (1995) - [j1]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): 207-212 (1995)
Coauthor Index
aka: Humberto Cesar Brandão de Oliveira
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