Douglas A. G. Vieira

23 papers B 2C 3Journal 12Unranked 6

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