Douglas A. G. Vieira

According to our database, Douglas A. G. Vieira authored at least 30 papers between 2003 and 2024.

Collaborative distances:

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

2024

The Use of Information Entropy and Expert Opinion in Maximizing the Discriminating Power of Composite Indicators.

Matheus Pereira Libório, Roxani Karagiannis, Alexandre Magno Alvez Diniz, Petr Iakovlevitch Ekel, Douglas Alexandre Gomes Vieira, Laura Cozzi Ribeiro

Entropy, February, 2024

Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA.

Laura Cozzi Ribeiro, Matheus Pereira Libório, Hasheem Mannan, Sandro Laudares, Petr Iakovlevitch Ekel, Douglas Alexandre Gomes Vieira, Cristiane Neri Nobre

SoftwareX, 2024

Risk Measure Analysis.

Adriano Chaves Lisboa, Felipe Augusto Cardoso Pereira, Fellipe Fernandes Goulart Dos Santos, Lidia Caroline A. Pereira Da Silva, Airton Isaac Pereira, Matheus de Oliveira Mendonça, Gustavo Rodrigues Lacerda Silva, Lais Claudine Schiavo Gomes, Douglas Alexandre Gomes Vieira

IEEE Access, 2024

2021

Evaluation of Operational Risk in Power Substations and Its Rational Reduction on the Basis of Multicriteria Allocating Resources.

Willian Maia, Petr Ekel, Douglas Alexandre Gomes Vieira, Eduardo Antônio de Castro, Mateus Alberto Dorna de Oliveira, Igor Marques Reis, Kenedy Marconi Geraldo Dos Santos

IEEE Access, 2021

2020

Application of meta-heuristic methods to generation expansion planning: advanced formulations and case studies.

Guilherme Costa Silva, Frederico Gualberto F. Coelho, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha

Artif. Intell. Rev., 2020

Multiattribute Spatial Decision-Making for Qualitative Information Processing as Applied to the Renewable Energy Generating Sites Prospection.

Lívia Maria Leite Da Silva, Petr Ekel, Douglas A. G. Vieira, Gustavo Luís Soares

IEEE Access, 2020

2019

A cutting-plane method to nonsmooth multiobjective optimization problems.

Douglas A. G. Vieira, Adriano Chaves Lisboa

Eur. J. Oper. Res., 2019

On Modelling and Simulating Open Pit Mine Through Stochastic Timed Petri Nets.

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

IEEE Access, 2019

2017

CUDA-Based Parallelization of Power Iteration Clustering for Large Datasets.

Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro de Medeiros, Brayan Rene Acevedo Jaimes, Carla Caldeira Takahashi, Douglas Alexandre Gomes Vieira, Antônio de Pádua Braga

IEEE Access, 2017

Advanced fuzzy time series applied to short term load forecasting.

Guilherme Costa Silva, Joao L. R. Silva, Adriano Chaves Lisboa, Douglas A. G. Vieira, Rodney R. Saldanha

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016

GPIC - GPU Power Iteration Cluster.

Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro de Medeiros, Antônio de Pádua Braga, Douglas A. G. Vieira

CoRR, 2016

Portfolio selection for open-pit mining assets acquisition.

Lucas S. Ferreira, Elizabeth Fialho Wanner, Adriano Chaves Lisboa, Douglas A. G. Vieira

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Extreme learning machine with parallel layer perceptrons.

Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira

Neurocomputing, 2015

A prediction algorithm for data analysis in GPR-based surveys.

J. B. Rodriguez, Mario Fernández Pantoja, X. L. Travassos Jr., Douglas A. G. Vieira, Rodney R. Saldanha

Neurocomputing, 2015

2014

Line search methods with guaranteed asymptotical convergence to an improving local optimum of multimodal functions.

Douglas Alexandre Gomes Vieira, Adriano Chaves Lisboa

Eur. J. Oper. Res., 2014

Extreme learning machine with initialized hidden weight.

Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Color feature selection for smoke detection in videos.

Gabriela Miranda, Adriano Chaves Lisboa, Douglas A. G. Vieira, Francisco Queiroz, Carlos Nascimento

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

A Proposed Extreme Learning Machine Pruning Based on the Linear Combination of the Input Data and the Output Layer Weights.

Leonardo D. Tavares, Rodney R. Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

A Comparative Study of Extreme Learning Machine Pruning Based on Detection of Linear Independence.

Leonardo D. Tavares, Rodney Rezende Saldanha, Douglas A. G. Vieira, Adriano Chaves Lisboa

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2012

Multicriteria optimization with a multiobjective golden section line search.

Douglas A. G. Vieira, Ricardo H. C. Takahashi, Rodney R. Saldanha

Math. Program., 2012

Measuring the Spatial Error in Load Forecasting for Electrical Distribution Planning as a Problem of Transporting the Surplus to the In-Deficit Locations.

Douglas A. G. Vieira, M. M. A. Cabral, T. V. Menezes, B. E. Silva, Adriano Chaves Lisboa

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Feature Extraction and Selection in Ground Penetrating Radar with Experimental Data Set of Inclusions in Concrete Blocks.

F. A. A. Queiroz, Douglas A. G. Vieira, X. L. Travassos Jr., Mario Fernández Pantoja

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Estimating the Convection Heat Transfer Coefficient of a Run-Out Cooling Table in a Steel-Making Process by Neural Networks.

Glaucio Barros Barcelos, Douglas Alexandre Gomes Vieira, Rodney Rezende Saldanha, Luciano Lellis Miranda

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2010

On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm Optimization.

Gustavo Rodrigues Lacerda Silva, Douglas A. G. Vieira, Adriano Chaves Lisboa, Vasile Palade

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

Signal denoising in engineering problems through the minimum gradient method.

Douglas A. G. Vieira, Xisto Lucas Travassos, Rodney R. Saldanha, Vasile Palade

Neurocomputing, 2009

2008

The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem.

Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas

IEEE Trans. Neural Networks, 2008

Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm.

Douglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007

Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm.

Douglas A. G. Vieira, João A. Vasconcelos, Walmir M. Caminhas

Neural Comput. Appl., 2007

Eye-Gaze Driven Surgical Workflow Segmentation.

Adam James, Douglas A. G. Vieira, Benny P. L. Lo, Ara Darzi, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2003

Parallel layer perceptron.

Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos

Neurocomputing, 2003