Germano C. Vasconcelos

36 papers A 1B 11C 2Journal 9Unranked 12

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Screening hardware and volume factors in distributed machine learning algorithms on spark. Computing Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel
2020	—	`conf`	Time and Cost Prediction Models for Language Classification Over a Large Corpus on Spark. SSCI Jairson B. Rodrigues, Germano C. Vasconcelos, Paulo R. M. Maciel
2019	B	`conf`	Analysis of Cuckoo Search Efficiency. CEC Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
2019	J	`jnl`	Boosting the performance of over-sampling algorithms through under-sampling the minority class. Neurocomputing Romero F. A. B. de Morais, Germano C. Vasconcelos
2019	B	`conf`	Improving Fast Adaptive Stacking of Ensembles. IJCNN Laura Maria Palomino Mariño, Juan Isidro González Hidalgo, Roberto S. M. Barros, Germano C. Vasconcelos
2018	—	`conf`	Eight Bio-inspired Algorithms Evaluated for Solving Optimization Problems. ICAISC (1) Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
2017	J	`jnl`	A perturbative approach for enhancing the performance of time series forecasting. Neural Networks Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
2017	J	`jnl`	Object recognition under severe occlusions with a hidden Markov model approach. Pattern Recognit. Lett. F. A. Guerrero-Peña, Germano C. Vasconcelos
2016	B	`conf`	Cuckoo search optimization for short term wind energy forecasting. CEC Carlos Eduardo M. Barbosa, Germano C. Vasconcelos
2016	—	`conf`	Search-space sorting with hidden Markov models for occluded object recognition. IEEE Conf. on Intelligent Systems F. A. Guerrero-Peña, Germano C. Vasconcelos
2015	B	`conf`	Case-based reasoning combined with neural networks for credit risk analysis. IJCNN Cesar Silva, Germano C. Vasconcelos, Hadautho Barros, Gabriel Franca
2013	—	`conf`	Evaluation of Algorithm for Extraction of Lung Regions in CT Exams. MedInfo Pedro Melo, Germano C. Vasconcelos, Paula Diniz, Cleunio França, Jéssica Diniz, Magdala Novaes
2013	—	`conf`	Improve Threshold Segmentation Using Features Extraction to Automatic Lung Delimitation. MedInfo Cleunio França, Germano C. Vasconcelos, Paula Diniz, Pedro Melo, Jéssica Diniz, Magdala Novaes
2012	B	`conf`	An experimental investigation of artificial immune system algorithms for credit risk assessment applications. IEEE Congress on Evolutionary Computation Antônio I. S. Nascimento, Germano C. Vasconcelos
2010	—	`conf`	Domain Driven Data Mining for Unavailability Estimation of Electrical Power Grids. IEA/AIE (2) Paulo J. L. Adeodato, Petrônio L. Braga, Adrian L. Arnaud, Germano C. Vasconcelos, Frederico Guedes, Hélio B. Menezes, Giorgio O. Limeira
2010	—	`ch.`	The Power of Sampling and Stacking for the PAKDD-2007 Cross-Selling Problem. Strategic Advancements in Utilizing Data Mining and Warehousing Technologies Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. Oliveira Neto
2009	B	`conf`	The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. IJCNN Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro
2008	J	`jnl`	A New Intelligent System Methodology for Time Series Forecasting with Artificial Neural Networks. Neural Process. Lett. Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2008	B	`conf`	A systematic solution for the NN3 Forecasting Competition problem based on an ensemble of MLP neural networks. ICPR Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos Sávio Malaquias Pessoa Monteiro
2008	J	`jnl`	The Power of Sampling and Stacking for the PaKDD-2007 Cross-Selling Problem. Int. J. Data Warehous. Min. Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro, Rosalvo F. O. Neto
2007	C	`conf`	A New Evolutionary Approach for Time Series Forecasting. CIDM Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2007	B	`conf`	An evolutionary Morphological-Rank-Linear approach for time series prediction. IEEE Congress on Evolutionary Computation Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
2007	B	`conf`	Hybrid differential evolutionary system for financial time series forecasting. IEEE Congress on Evolutionary Computation Ricardo de A. Araújo, Germano C. Vasconcelos, Tiago A. E. Ferreira
2007	J	`jnl`	Hybrid neural systems for large scale credit risk assessment applications. J. Intell. Fuzzy Syst. B. P. de Amorim, Germano C. Vasconcelos, Lourdes Mattos Brasil
2006	—	`conf`	A Multi-Start Simulated Annealing Algorithm for the Vehicle Routing Problem with Time Windows. SBRN Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga
2006	C	`conf`	Parametrical Adjusting of a Hybrid System for the Vehicle Routing Problem with Time Windows. HIS Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Rafael Vargas Mesquita, Mariane Moreira de Souza
2006	B	`conf`	Reducing Traveled Distance in the Vehicle Routing Problem with Time Windows using a Multi-Start Simulated Annealing. IJCNN Humberto Cesar Brandao de Oliveira, Germano C. Vasconcelos, Guilherme Bastos Alvarenga
2005	A	`conf`	A new evolutionary method for time series forecasting. GECCO Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2004	B	`conf`	A hybrid intelligent system approach for improving the prediction of real world time series. IEEE Congress on Evolutionary Computation Tiago A. E. Ferreira, Germano C. Vasconcelos, Paulo J. L. Adeodato
2004	—	`conf`	Neural Networks vs Logistic Regression: a Comparative Study on a Large Data Set. ICPR (3) Paulo J. L. Adeodato, Germano C. Vasconcelos, Adrian L. Arnaud, Roberto A. F. Santos, Rodrigo C. L. V. Cunha, Domingos S. M. P. Monteiro
2002	—	`conf`	RULEXPERT: A Rule Discovery Tool. FSKD Patrícia G. Ramos, Germano C. Vasconcelos
2000	—	`conf`	Neuro-Fuzzy Networks for Pattern Classification and Rule Extraction. SBRN Guilherme A. B. Conde, Patrícia G. Ramos, Germano C. Vasconcelos
1997	—	`conf`	A comparative study of the cascade-correlation architecture in pattern recognition applications. SBRN Juliana N. G. Ribeiro, Germano C. Vasconcelos, Carlos R. O. Queiroz
1997	—	`conf`	An Experimental Evaluation of the Cascade-Correlation Network in Pattern Recognition Problems. ICONIP (2) Germano C. Vasconcelos, Juliana N. G. Ribeiro
1995	J	`jnl`	Efficient Detection of Spurious Inputs for Improving the Robustness of MLP Networks in Practical Applications. Neural Comput. Appl. Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset
1995	J	`jnl`	Investigating feedforward neural networks with respect to the rejection of spurious patterns. Pattern Recognit. Lett. Germano C. Vasconcelos, Michael C. Fairhurst, David L. Bisset