Douglas A. G. Vieira

Publication Activity (10 Years)

Years Active: 2003-2020
Publications (10 Years): 7

Top Topics

Timed Petri Nets

Multiobjective Optimization

Load Forecasting

Extreme Learning Machine

Top Venues

Publications

Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies. Artif. Intell. Rev. 53 (7) (2020)
Lívia Maria Leite Da Silva, Petr Ekel, Douglas A. G. Vieira, Gustavo Luís Soares
Multiattribute Spatial Decision-Making for Qualitative Information Processing as Applied to the Renewable Energy Generating Sites Prospection. IEEE Access 8 (2020)
Douglas A. G. Vieira, Adriano Chaves Lisboa
A cutting-plane method to nonsmooth multiobjective optimization problems. Eur. J. Oper. Res. 275 (3) (2019)
Adriano Chaves Lisboa, Flávio H. B. De Souza, César M. Ribeiro, Carlos A. Maia, Rodney R. Saldanha, Felipe L. B. Castro, Douglas A. G. Vieira
On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets. IEEE Access 7 (2019)
Guilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha
Advanced fuzzy time series applied to short term load forecasting. LA-CCI (2017)
Lucas S. Ferreira, Elizabeth Fialho Wanner, Adriano Chaves Lisboa, Douglas A. G. Vieira
Portfolio selection for open-pit mining assets acquisition. CEC (2016)
Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro de Medeiros, Antônio de Pádua Braga, Douglas A. G. Vieira
GPIC - GPU Power Iteration Cluster. CoRR (2016)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
Extreme learning machine with parallel layer perceptrons. Neurocomputing 166 (2015)
J. B. Rodriguez, M. F. Pantoja, X. L. Travassos Jr., Douglas A. G. Vieira, Rodney R. Saldanha
A prediction algorithm for data analysis in GPR-based surveys. Neurocomputing 168 (2015)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira
Extreme learning machine with initialized hidden weight. INDIN (2014)
Gabriela Miranda, Adriano Chaves Lisboa, Douglas A. G. Vieira, Francisco Queiroz, Carlos Nascimento
Color feature selection for smoke detection in videos. INDIN (2014)
Leonardo D. Tavares, Rodney Rezende Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa
A Comparative Study of Extreme Learning Machine Pruning Based on Detection of Linear Independence. ICTAI (2014)
Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa
A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights. IDEAL (2014)
Douglas A. G. Vieira, Ricardo H. C. Takahashi, Rodney R. Saldanha
Multicriteria optimization with a multiobjective golden section line search. Math. Program. 131 (1-2) (2012)
F. A. A. Queiroz, Douglas A. G. Vieira, X. L. Travassos Jr., M. F. Pantoja
Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks. ICMLA (2) (2012)
Douglas A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, Adriano Chaves Lisboa
Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations. ICMLA (2) (2012)
Gustavo Rodrigues Lacerda Silva, Douglas A. G. Vieira, Adriano Chaves Lisboa, Vasile Palade
On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm Optimization. ICTAI (2) (2010)
Douglas A. G. Vieira, Xisto Lucas Travassos, Rodney R. Saldanha, Vasile Palade
Signal denoising in engineering problems through the minimum gradient method. Neurocomputing 72 (10-12) (2009)
Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas
The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. IEEE Trans. Neural Networks 19 (8) (2008)
Douglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha
Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm. ICTAI (2) (2008)
Douglas A. G. Vieira, João A. Vasconcelos, Walmir M. Caminhas
Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm. Neural Comput. Appl. 16 (4-5) (2007)
Adam James, Douglas A. G. Vieira, Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang
Eye-Gaze Driven Surgical Workflow Segmentation. MICCAI (2) (2007)
Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos
Parallel layer perceptron. Neurocomputing 55 (3-4) (2003)