Douglas A. G. Vieira

发表

Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm

Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos, 2006, Neural Computing and Applications.

Walmir M. Caminhas, Douglas A. G. Vieira, João A. Vasconcelos, 2003, Neurocomputing.

Extreme learning machine with initialized hidden weight

Douglas A. G. Vieira, Rodney R. Saldanha, Leonardo D. Tavares, 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

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

Douglas A. G. Vieira, Rodney R. Saldanha, Leonardo D. Tavares, 2014, IDEAL.

In the Use of Parametric and Non Parametric Algorithms for the Non Destructive Evaluation of Concrete Structures

A. Nicolas, Nathan Ida, Douglas A. G. Vieira, 2009 .

Two-stage multicriteria georeferenced express analysis of new electric transmission line projects

Douglas A. G. Vieira, A. C. Lisboa, P.Ya. Ekel, 2019, International Journal of Electrical Power & Energy Systems.

Application of neural network and principal component analysis to GPR data

Douglas A. G. Vieira, Mario F. Pantoja, Jesus B. Rodriguez, 2011, 2011 6th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).

Multicriteria optimization with a multiobjective golden section line search

Ricardo H. C. Takahashi, Douglas A. G. Vieira, Rodney R. Saldanha, 2010, Mathematical Programming.

Portfolio selection for open-pit mining assets acquisition

Elizabeth F. Wanner, Douglas A. G. Vieira, Adriano Chaves Lisboa, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

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

Ricardo H. C. Takahashi, Walmir M. Caminhas, Vasile Palade, 2008, IEEE Transactions on Neural Networks.

Extreme learning machine with parallel layer perceptrons

Douglas A. G. Vieira, Rodney R. Saldanha, Leonardo D. Tavares, 2015, Neurocomputing.

Advanced fuzzy time series applied to short term load forecasting

Guilherme Costa Silva, Douglas A. G. Vieira, Rodney R. Saldanha, 2017, 2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

A prediction algorithm for data analysis in GPR-based surveys

Douglas A. G. Vieira, Rodney R. Saldanha, X. L. Travassos, 2015, Neurocomputing.

Application of Load Forecasting i Thermal Unit Commitment Problems: A Pattern Similarity Approach

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2018, Contributions to Statistics.

Design of Meander-Line Antennas for Radio Frequency Identification Based on Multiobjective Optimization

Douglas A. G. Vieira, X. L. Travassos, A. C. Lisboa, 2012 .

Color feature selection for smoke detection in videos

Douglas A. G. Vieira, Adriano Chaves Lisboa, A. C. Lisboa, 2014, 2014 12th IEEE International Conference on Industrial Informatics (INDIN).

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

Douglas A. G. Vieira, Leonardo D. Tavares, Rodney Rezende Saldanha, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

A continuous compact model for cascaded hydro-power generation and preventive maintenance scheduling

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2015 .

Winds of Change: How Up-To-Date Forecasting Methods Could Help Change Brazilian Wind Energy Policy and Save Billions of US$

Vasile Palade, Douglas A. G. Vieira, Rodney R. Saldanha, 2018 .

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

Rodney R. Saldanha, Douglas A. G. Vieira, Guilherme Costa Silva, 2020, Artificial Intelligence Review.

A Closed-Form Solution for Untransposed Transmission-Lines Fault Location With Nonsynchronized Terminals

Douglas A. G. Vieira, A. C. Lisboa, D. B. Oliveira, 2013, IEEE Transactions on Power Delivery.

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, Adriano Chaves Lisboa, M. M. A. Cabral, 2012, 2012 11th International Conference on Machine Learning and Applications.

Analyzing the Relevant Features of GPR Scattered Waves in Time- and Frequency-Domain

Douglas A. G. Vieira, X. L. Travassos, F. A. A. Queiroz, 2013 .

GPIC - GPU Power Iteration Cluster pdf

Antônio de Pádua Braga, Douglas A. G. Vieira, Gustavo Rodrigues Lacerda Silva, 2016, ArXiv.

Filtering Noise in Regression Problems Using a Multiobjective Leaning Algorithm

Vasile Palade, Douglas A. G. Vieira, Rodney R. Saldanha, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Signal denoising in engineering problems through the minimum gradient method

Vasile Palade, Douglas A. G. Vieira, Rodney R. Saldanha, 2009, Neurocomputing.

Detecting Car Accidents Based on Traffic Flow Measurements Using Machine Learning Techniques

Rodney R. Saldanha, Douglas A. G. Vieira, Walmir M. Caminhas, 2016 .

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

Douglas A. G. Vieira, Adriano Chaves Lisboa, A. C. Lisboa, 2014, Eur. J. Oper. Res..

Formulations for hydroelectric energy production with optimality conditions

Rodney R. Saldanha, Douglas A. G. Vieira, A. C. Lisboa, 2015 .

Optimal analytic dispatch for tidal energy generation

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2017 .

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

Douglas A. G. Vieira, X. L. Travassos, M. F. Pantoja, 2012, ICMLA.

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

Petr Ekel, Douglas A. G. Vieira, Gustavo Luís Soares, 2020, IEEE Access.

A cutting-plane method to nonsmooth multiobjective optimization problems

Douglas A. G. Vieira, Adriano Chaves Lisboa, A. C. Lisboa, 2019, Eur. J. Oper. Res..

NSGA WITH ELITISM APPLIED TO SOLVE MULTIOBJECTIVE OPTIMIZATION PROBLEMS

Douglas A. G. Vieira, João A. Vasconcelos, Ricardo Adriano, 2002 .

Handling constraints as objectives in a multiobjective genetic based algorithm

Douglas A. G. Vieira, João A. Vasconcelos, Laurent Krähenbühl, 2002 .

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

Vasile Palade, Douglas A. G. Vieira, Adriano Chaves Lisboa, 2010, 2010 22nd IEEE International Conference on Tools with Artificial Intelligence.

Simulating car accidents with Cellular

Walmir M. Caminhas, Douglas A. G. Vieira, Rodney R. Saldanha, 2009 .

Eye-Gaze Driven Surgical Workflow Segmentation

Guang-Zhong Yang, Benny P. L. Lo, Ara Darzi, 2007, MICCAI.

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

Douglas A. G. Vieira, Rodney Rezende Saldanha, Glaucio Barros Barcelos, 2012, 2012 11th International Conference on Machine Learning and Applications.

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

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2019, IEEE Access.

Seasonal energy trading portfolio based on multiobjective optimisation

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2014 .

Recent Advances in Neural Networks Structural Risk Minimization Based on Multiobjective Complexity Control Algorithms

Douglas A. G. Vieira, João A. Vasconcelos, Rodney R. Saldanha, 2010 .

A Review of Soft Techniques for Electromagnetic Assessment of Concrete Condition

Douglas A. G. Vieira, X. L. Travassos, Mario F. Pantoja, 2012 .

A fast power flow method for radial networks with linear storage and no matrix inversions

Douglas A. G. Vieira, Rodney R. Saldanha, A. C. Lisboa, 2014 .

A well posed inverse problem for automatic pavement parameter estimation based on GPR data

Douglas A. G. Vieira, A. C. Lisboa, Fillipe Goulart, 2014 .