Vinicius Veloso de Melo

发表

Breast cancer detection with logistic regression improved by features constructed by Kaizen programming in a hybrid approach

Vinicius Veloso de Melo, V. V. D. Melo, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Batch Tournament Selection for Genetic Programming pdf

Vinicius Veloso de Melo, Wolfgang Banzhaf, Danilo Vasconcellos Vargas, 2019, ArXiv.

λ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\lambda }$$\end{document}-LGP: an improved version of linear genetic

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Márcio P. Basgalupp, 2017, Knowledge and Information Systems.

Gradient Boosting Decision Trees for Echocardiogram Images

Vinicius Veloso de Melo, Daniela Mayumi Ushizima Sabino, Salety Ferreira Baracho, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems

Vinicius Veloso de Melo, Alexandre C. B. Delbem, A. Delbem, 2012, Inf. Sci..

A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization pdf

Vinicius Veloso de Melo, V. V. D. Melo, 2017, ArXiv.

Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing

Vinicius Veloso de Melo, Wolfgang Banzhaf, W. Banzhaf, 2017, Neurocomputing.

Efficient Identification of Duplicate Bibliographical References

Vinicius Veloso de Melo, Alneu de Andrade Lopes, 2005, LAPTEC.

Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed

Vinicius Veloso de Melo, V. V. D. Melo, 2012, GECCO '12.

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament

Vinicius Veloso de Melo, Wolfgang Banzhaf, Danilo Vasconcellos Vargas, 2019, GECCO.

Easy Efficiency-Enhancement Technique for the ECGA

Vinicius Veloso de Melo, Alexandre C. B. Delbem, A. Delbem, 2008, 2008 10th Brazilian Symposium on Neural Networks.

Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections

Vinicius Veloso de Melo, Rosane Minghim, Alneu de Andrade Lopes, 2006, Electronic Imaging.

Ischemic Region Segmentation in Rat Heart Photos Using DRLSE Algorithm

Vinicius Veloso de Melo, Salety Ferreira Baracho, Regina Célia Coelho, 2015 .

Efficiency Enhancement of ECGA Through Population Size Management

Vinicius Veloso de Melo, Alexandre C. B. Delbem, Thyago S. P. C. Duque, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Virtual Reality in Marketing: Technological and Psychological immersion

Vinicius Veloso de Melo, Romero Tori, Alexandre Moreira Nascimento, 2018, AMCIS.

Investigating Multi-View Differential Evolution for solving constrained engineering design problems

Vinicius Veloso de Melo, Grazieli Luiza Costa Carosio, V. V. D. Melo, 2013, Expert Syst. Appl..

Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Regina Célia Coelho, 2016, GECCO.

A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization

Vinicius Veloso de Melo, Giovanni Iacca, Giovanni Iacca, 2014, Expert Syst. Appl..

Immersive Virtual Environments in Corporate Education and Training

Vinicius Veloso de Melo, Romero Tori, Alexandre Moreira Nascimento, 2018, AMCIS.

On promising regions and optimization effectiveness of continuous and deceptive functions

Vinicius Veloso de Melo, Alexandre C. B. Delbem, A. Delbem, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images

Vinicius Veloso de Melo, Salety Ferreira Baracho, Regina Célia Coelho, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, V. V. D. Melo, 2017, GECCO.

Efficiency-enhancement techniques for metaheuristics applied and continuous global optimization

Vinicius Veloso de Melo, 2009 .

Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization

Vinicius Veloso de Melo, Wolfgang Banzhaf, 2017, Neural Computing and Applications.

Defining and simulating open-ended novelty: requirements, guidelines, and challenges

Susan Stepney, Barry McMullin, Vinicius Veloso de Melo, 2016, Theory in Biosciences.

Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, 2016, GECCO.

A CMA-ES-based 2-stage memetic framework for solving constrained optimization problems

Vinicius Veloso de Melo, Giovanni Iacca, Giovanni Iacca, 2014, 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Márcio P. Basgalupp, 2016, SAC.

Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization pdf

Vinicius Veloso de Melo, Wolfgang Banzhaf, W. Banzhaf, 2017, arXiv.org.

Automated Left Ventricle Posterior Wall Segmentation Using Kohonen Self-Organizing Map

Vinicius Veloso de Melo, Salety Ferreira Baracho, Regina Célia Coelho, 2016, 2016 5th Brazilian Conference on Intelligent Systems (BRACIS).

Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid

Vinicius Veloso de Melo, Wolfgang Banzhaf, W. Banzhaf, 2018, Inf. Sci..

Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, V. V. D. Melo, 2016, Neurocomputing.

Bayesian treed Gaussian process method for process monitoring

Vinicius Veloso de Melo, Hangzhou Wang, V. V. D. Melo, 2016 .

A MIMD Interpreter for Genetic Programming

Vinicius Veloso de Melo, Giovanni Iacca, Léo Françoso Dal Piccol Sotto, 2020, EvoApplications.

Evaluating differential evolution with penalty function to solve constrained engineering problems

Vinicius Veloso de Melo, Grazieli Luiza Costa Carosio, V. V. D. Melo, 2012, Expert Syst. Appl..

Automatic generation of evolutionary operators: a study with mutation strategies for the differential evolution

Vinicius Veloso de Melo, Grazieli Luiza Costa Carosio, V. V. D. Melo, 2013, SAC '13.

Enhancing discrimination power with genetic feature construction: A grammatical evolution approach

Vinicius Veloso de Melo, Rodrigo C. Barros, Márcio P. Basgalupp, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Kaizen Programming for Feature Construction for Classification

Vinicius Veloso de Melo, Wolfgang Banzhaf, 2016 .

Increasing the Prediction Quality of Software Defective Modules with Automatic Feature Engineering

Vinicius Veloso de Melo, Adilson Marques da Cunha, Luiz Alberto Vieira Dias, 2018 .

Improving global numerical optimization using a search-space reduction algorithm

Vinicius Veloso de Melo, Alexandre C. B. Delbem, Fernando Marques Federson, 2007, GECCO '07.

Biased Random-Key Genetic Algorithm Applied to the Vehicle Routing Problem with Private Fleet and Common Carrier

Vinicius Veloso de Melo, Antonio Augusto Chaves, William Higino, 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

Comparison of linear genetic programming variants for symbolic regression

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, 2014, GECCO.

Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems

Vinicius Veloso de Melo, Wolfgang Banzhaf, Benjamin Fowler, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Using Smart Sampling to Discover Promising Regions and Increase the Efficiency of Differential Evolution

Vinicius Veloso de Melo, Alexandre C. B. Delbem, A. Delbem, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Discovering Promising Regions to Help Global Numerical Optimization Algorithms

Vinicius Veloso de Melo, Alexandre C. B. Delbem, Fernando Marques Federson, 2007, MICAI.

Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming

Vinicius Veloso de Melo, Wolfgang Banzhaf, W. Banzhaf, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available

Vinicius Veloso de Melo, Gabriel Haeser, G. Haeser, 2015, Oper. Res. Lett..

Phylogenetic Differential Evolution

Vinicius Veloso de Melo, Danilo Vasconcellos Vargas, Marcio Kassouf Crocomo, 2011, Int. J. Nat. Comput. Res..

Kaizen programming

Vinicius Veloso de Melo, V. V. D. Melo, 2014, GECCO.

Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning

Vinicius Veloso de Melo, Rafael Geraldeli Rossi, Márcio P. Basgalupp, 2017, 2017 IEEE Trustcom/BigDataSE/ICESS.

Investigation of Linear Genetic Programming Techniques for Symbolic Regression

Vinicius Veloso de Melo, Léo Françoso Dal Piccol Sotto, V. V. D. Melo, 2014, 2014 Brazilian Conference on Intelligent Systems.