Efficient Identification of Duplicate Bibliographical References. - Vinícius Veloso de Melo; Alneu de Andrade Lopes (LAPTEC, 2005)

Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections. - Alneu de Andrade Lopes; Rosane Minghim; Vinícius Veloso de Melo; Fernando Vieira Paulovich (Visualization and Data Analysis, 2006)

Improving global numerical optimization using a search-space reduction algorithm. - Vinícius Veloso de Melo; Alexandre C. B. Delbem; Dorival Leao Pinto Junior; Fernando Marques Federson (GECCO, 2007)

Discovering Promising Regions to Help Global Numerical Optimization Algorithms. - Vinícius Veloso de Melo; Alexandre C. B. Delbem; Dorival Leao Pinto Junior; Fernando Marques Federson (MICAI, 2007)

On promising regions and optimization effectiveness of continuous and deceptive functions. - Vinícius Veloso de Melo; Alexandre C. B. Delbem (IEEE Congress on Evolutionary Computation, 2008)

Easy Efficiency-Enhancement Technique for the ECGA. - Vinícius Veloso de Melo; Alexandre C. B. Delbem (SBRN, 2008)

Using Smart Sampling to Discover Promising Regions and Increase the Efficiency of Differential Evolution. - Vinícius Veloso de Melo; Alexandre C. B. Delbem (ISDA, 2009)

Efficiency Enhancement of ECGA Through Population Size Management. - Vinícius Veloso de Melo; Thyago S. P. C. Duque; Alexandre C. B. Delbem (ISDA, 2009)

Efficiency-enhancement techniques for metaheuristics applied and continuous global optimization. - Vinícius Veloso de Melo (2009)

Phylogenetic Differential Evolution. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Márcio Kassouf Crocomo (Int. J. Nat. Comput. Res., 2011)

Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed. - Vinícius Veloso de Melo (GECCO (Companion), 2012)

Evaluating differential evolution with penalty function to solve constrained engineering problems. - Vinícius Veloso de Melo; Grazieli Luiza Costa Carosio (Expert Syst. Appl., 2012)

Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems. - Vinícius Veloso de Melo; Alexandre Cláudio Botazzo Delbem (Inf. Sci., 2012)

Automatic generation of evolutionary operators: a study with mutation strategies for the differential evolution. - Vinícius Veloso de Melo; Grazieli Luiza Costa Carosio (SAC, 2013)

Investigating Multi-View Differential Evolution for solving constrained engineering design problems. - Vinícius Veloso de Melo; Grazieli Luiza Costa Carosio (Expert Syst. Appl., 2013)

Investigation of Linear Genetic Programming Techniques for Symbolic Regression. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (BRACIS, 2014)

A CMA-ES-based 2-stage memetic framework for solving constrained optimization problems. - Vinícius Veloso de Melo; Giovanni Iacca (FOCI, 2014)

Kaizen programming. - Vinícius Veloso de Melo (GECCO, 2014)

Comparison of linear genetic programming variants for symbolic regression. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (GECCO (Companion), 2014)

A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization. - Vinícius Veloso de Melo; Giovanni Iacca (Expert Syst. Appl., 2014)

Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming. - Vinícius Veloso de Melo; Wolfgang Banzhaf (BRACIS, 2015)

Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. - Vinícius Veloso de Melo; Benjamin Fowler; Wolfgang Banzhaf (BRACIS, 2015)

Kaizen Programming for Feature Construction for Classification. - Vinícius Veloso de Melo; Wolfgang Banzhaf (GPTP, 2015)

Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available. - Gabriel Haeser; Vinícius Veloso de Melo (Oper. Res. Lett., 2015)

Automated Left Ventricle Posterior Wall Segmentation Using Kohonen Self-Organizing Map. - Salety Ferreira Baracho; Vinícius Veloso de Melo; Regina Célia Coelho (BRACIS, 2016)

Breast cancer detection with logistic regression improved by features constructed by Kaizen programming in a hybrid approach. - Vinícius Veloso de Melo (CEC, 2016)

Enhancing discrimination power with genetic feature construction: A grammatical evolution approach. - Patricia Miquilini; Rodrigo C. Barros; Vinícius Veloso de Melo; Márcio P. Basgalupp (CEC, 2016)

Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. - Vinícius Veloso de Melo; Wolfgang Banzhaf (GECCO (Companion), 2016)

Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming. - Léo Françoso Dal Piccol Sotto; Regina Célia Coelho; Vinícius Veloso de Melo (GECCO, 2016)

Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (GECCO (Companion), 2016)

A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images. - Salety Ferreira Baracho; Daniel Jose Lins Leal Pinheiro; Vinícius Veloso de Melo; Regina Célia Coelho (IJCNN, 2016)

An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo; Márcio P. Basgalupp (SAC, 2016)

Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (Neurocomputing, 2016)

Defining and simulating open-ended novelty: requirements, guidelines, and challenges. - Wolfgang Banzhaf; Bert Baumgaertner; Guillaume Beslon; René Doursat; James A. Foster; Barry McMullin; Vinícius Veloso de Melo; Thomas Miconi; Lee Spector; Susan Stepney; Roger White (Theory Biosci., 2016)

A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo (GECCO, 2017)

Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning. - Patricia Miquilini; Rafael Geraldeli Rossi; Marcos G. Quiles; Vinícius Veloso de Melo; Márcio P. Basgalupp (TrustCom/BigDataSE/ICESS, 2017)

Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization. - Vinícius Veloso de Melo; Wolfgang Banzhaf (CoRR, 2017)

A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization. - Vinícius Veloso de Melo (CoRR, 2017)

Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Neurocomputing, 2017)

λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem. - Léo Françoso Dal Piccol Sotto; Vinícius Veloso de Melo; Márcio Porto Basgalupp (Knowl. Inf. Syst., 2017)

A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). - Alexandre Moreira Nascimento; Maria Alexandra Viegas Cortez da Cunha; Fernando de Souza Meirelles; Eusebio Scornavacca Jr.; Vinícius Veloso de Melo (AMCIS, 2018)

Virtual Reality in Marketing: Technological and Psychological immersion. - Anna Carolina Muller Queiroz; Alexandre Moreira Nascimento; Thomas Brashear Alejandro; Romero Tori; Vinícius Veloso de Melo; Fernando de Souza Meirelles; Maria Isabel da Silva Leme (AMCIS, 2018)

Immersive Virtual Environments in Corporate Education and Training. - Anna Carolina Muller Queiroz; Alexandre Moreira Nascimento; Romero Tori; Thomas Brashear Alejandro; Vinícius Veloso de Melo; Fernando de Souza Meirelles; Maria Isabel da Silva Leme (AMCIS, 2018)

Biased Random-Key Genetic Algorithm Applied to the Vehicle Routing Problem with Private Fleet and Common Carrier. - William Higino; Antonio Augusto Chaves; Vinícius Veloso de Melo (CEC, 2018)

Using Complexity Measures to Evolve Synthetic Classification Datasets. - Vinícius Veloso de Melo; Ana Carolina Lorena (IJCNN, 2018)

Gradient Boosting Decision Trees for Echocardiogram Images. - Vinícius Veloso de Melo; Daniela Mayumi Ushizima; Salety Ferreira Baracho; Regina Célia Coelho (IJCNN, 2018)

Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Inf. Sci., 2018)

Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. - Vinícius Veloso de Melo; Wolfgang Banzhaf (Neural Comput. Appl., 2018)

Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (GECCO, 2019)

Batch Tournament Selection for Genetic Programming. - Vinícius Veloso de Melo; Danilo Vasconcellos Vargas; Wolfgang Banzhaf (CoRR, 2019)

A MIMD Interpreter for Genetic Programming. - Vinícius Veloso de Melo; Álvaro Luiz Fazenda 001; Léo Françoso Dal Piccol Sotto; Giovanni Iacca (EvoApplications, 2020)

Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task. - Vinícius Veloso de Melo; Léo Françoso Dal Piccol Sotto; Matheus Macedo Leonardo; Fábio Augusto Faria (IEEE Geosci. Remote. Sens. Lett., 2020)

An improved Jaya optimization algorithm with Lévy flight. - Giovanni Iacca; Vlademir Celso dos Santos Junior; Vinícius Veloso de Melo (Expert Syst. Appl., 2021)

An Evolutionary Approach for Creating of Diverse Classifier Ensembles. - Alvaro R. Ferreira Jr.; Fábio Augusto Faria; Gustavo Carneiro 001; Vinícius Veloso de Melo (CoRR, 2022)

An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming. - Léo Françoso Dal Piccol Sotto; Franz Rothlauf; Vinícius Veloso de Melo; Márcio P. Basgalupp (Evol. Comput., 2022)

Cluster-centroid-based mutation strategies for Differential Evolution. - Giovanni Iacca; Vinícius Veloso de Melo (Soft Comput., 2022)

Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices. - Alexandre Moreira Nascimento; Vinícius Veloso de Melo; Márcio P. Basgalupp (SAC, 2023)

Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. - Vinícius Veloso de Melo; Wolfgang Banzhaf; Giovanni Iacca (GECCO Companion, 2024)

A co-evolutionary algorithm with adaptive penalty function for constrained optimization. - Vinícius Veloso de Melo; Alexandre Moreira Nascimento; Giovanni Iacca (Soft Comput., 2024)

TextDoctor: Unified Document Image Inpainting via Patch Pyramid Diffusion Models. - Wanglong Lu; Lingming Su; Jingjing Zheng; Vinícius Veloso de Melo; Farzaneh Shoeleh; John Hawkin; Terrence S. Tricco; Hanli Zhao; Xianta Jiang (CoRR, 2025)