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ORCIDVinícius Veloso de Melo
Person information
- affiliation: SkipTheDishes Restaurant Services Inc., Winnipeg, MB, Canada
- affiliation (former): Federal University of São Paulo, São José dos Campos, SP, Brazil
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2020 – today
- 2024
[c37]Vinícius Veloso de Melo
, Wolfgang Banzhaf, Giovanni Iacca:
Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach. GECCO Companion 2024: 2041-2049- 2023
- [c36]Alexandre Moreira Nascimento, Vinícius Veloso de Melo, Márcio P. Basgalupp:
Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices. SAC 2023: 707-714 - 2022
- [j16]Léo Françoso Dal Piccol Sotto, Franz Rothlauf, Vinícius Veloso de Melo, Márcio P. Basgalupp:
An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming. Evol. Comput. 30(1): 51-74 (2022) - [j15]Giovanni Iacca, Vinícius Veloso de Melo:
Cluster-centroid-based mutation strategies for Differential Evolution. Soft Comput. 26(4): 1889-1921 (2022) - [i5]Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinícius Veloso de Melo:
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. CoRR abs/2208.10996 (2022) - 2021
- [j14]Giovanni Iacca, Vlademir Celso dos Santos Junior, Vinícius Veloso de Melo:
An improved Jaya optimization algorithm with Lévy flight. Expert Syst. Appl. 165: 113902 (2021) - 2020
- [j13]Vinícius Veloso de Melo, Léo Françoso Dal Piccol Sotto, Matheus Macedo Leonardo, Fábio Augusto Faria:
Automatic Meta-Feature Engineering for CNN Fusion in Aerial Scene Classification Task. IEEE Geosci. Remote. Sens. Lett. 17(9): 1652-1656 (2020) - [c35]Vinícius Veloso de Melo, Álvaro Luiz Fazenda, Léo Françoso Dal Piccol Sotto, Giovanni Iacca:
A MIMD Interpreter for Genetic Programming. EvoApplications 2020: 645-658
2010 – 2019
- 2019
- [c34]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch tournament selection for genetic programming: the quality of lexicase, the speed of tournament. GECCO 2019: 994-1002 - [i4]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Wolfgang Banzhaf:
Batch Tournament Selection for Genetic Programming. CoRR abs/1904.08658 (2019) - 2018
- [j12]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Automatic feature engineering for regression models with machine learning: An evolutionary computation and statistics hybrid. Inf. Sci. 430: 287-313 (2018) - [j11]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Drone Squadron Optimization: a novel self-adaptive algorithm for global numerical optimization. Neural Comput. Appl. 30(10): 3117-3144 (2018) - [c33]Alexandre Moreira Nascimento, Maria Alexandra Viegas Cortez da Cunha, Fernando de Souza Meirelles, Eusebio Scornavacca Jr., Vinícius Veloso de Melo:
A Literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). AMCIS 2018 - [c32]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:
Virtual Reality in Marketing: Technological and Psychological immersion. AMCIS 2018 - [c31]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:
Immersive Virtual Environments in Corporate Education and Training. AMCIS 2018 - [c30]William Higino, Antonio Augusto Chaves, Vinícius Veloso de Melo:
Biased Random-Key Genetic Algorithm Applied to the Vehicle Routing Problem with Private Fleet and Common Carrier. CEC 2018: 1-8 - [c29]Vinícius Veloso de Melo, Ana Carolina Lorena:
Using Complexity Measures to Evolve Synthetic Classification Datasets. IJCNN 2018: 1-8 - [c28]Vinícius Veloso de Melo, Daniela Mayumi Ushizima, Salety Ferreira Baracho, Regina Célia Coelho:
Gradient Boosting Decision Trees for Echocardiogram Images. IJCNN 2018: 1-8 - 2017
- [j10]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving the prediction of material properties of concrete using Kaizen Programming with Simulated Annealing. Neurocomputing 246: 25-44 (2017) - [j9]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio Porto Basgalupp:
λ-LGP: an improved version of linear genetic programming evaluated in the Ant Trail problem. Knowl. Inf. Syst. 52(2): 445-465 (2017) - [c27]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
A probabilistic linear genetic programming with stochastic context-free grammar for solving symbolic regression problems. GECCO 2017: 1017-1024 - [c26]Patricia Miquilini, Rafael Geraldeli Rossi, Marcos G. Quiles, Vinícius Veloso de Melo, Márcio P. Basgalupp:
Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning. TrustCom/BigDataSE/ICESS 2017: 933-940 - [i3]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Drone Squadron Optimization: a Self-adaptive Algorithm for Global Numerical Optimization. CoRR abs/1703.04561 (2017) - [i2]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems. CoRR abs/1704.00828 (2017) - [i1]Vinícius Veloso de Melo:
A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization. CoRR abs/1708.01368 (2017) - 2016
- [j8]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Studying bloat control and maintenance of effective code in linear genetic programming for symbolic regression. Neurocomputing 180: 79-93 (2016) - [j7]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:
Defining and simulating open-ended novelty: requirements, guidelines, and challenges. Theory Biosci. 135(3): 131-161 (2016) - [c25]Salety Ferreira Baracho, Vinícius Veloso de Melo, Regina Célia Coelho:
Automated Left Ventricle Posterior Wall Segmentation Using Kohonen Self-Organizing Map. BRACIS 2016: 456-461 - [c24]Vinícius Veloso de Melo:
Breast cancer detection with logistic regression improved by features constructed by Kaizen programming in a hybrid approach. CEC 2016: 16-23 - [c23]Patricia Miquilini, Rodrigo C. Barros, Vinícius Veloso de Melo, Márcio P. Basgalupp:
Enhancing discrimination power with genetic feature construction: A grammatical evolution approach. CEC 2016: 3824-3831 - [c22]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Improving Logistic Regression Classification of Credit Approval with Features Constructed by Kaizen Programming. GECCO (Companion) 2016: 61-62 - [c21]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Solving the Lawn Mower problem with Kaizen Programming and λ-Linear Genetic Programming for Module Acquisition. GECCO (Companion) 2016: 113-114 - [c20]Léo Françoso Dal Piccol Sotto, Regina Célia Coelho, Vinícius Veloso de Melo:
Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming. GECCO 2016: 813-820 - [c19]Salety Ferreira Baracho, Daniel Jose Lins Leal Pinheiro, Vinícius Veloso de Melo, Regina Célia Coelho:
A hybrid neural system for the automatic segmentation of the interventricular septum in echocardiographic images. IJCNN 2016: 5072-5078 - [c18]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo, Márcio P. Basgalupp:
An improved λ-linear genetic programming evaluated in solving the Santa Fe ant trail problem. SAC 2016: 103-108 - 2015
- [j6]Gabriel Haeser, Vinícius Veloso de Melo:
Convergence detection for optimization algorithms: Approximate-KKT stopping criterion when Lagrange multipliers are not available. Oper. Res. Lett. 43(5): 484-488 (2015) - [c17]Vinícius Veloso de Melo, Benjamin Fowler, Wolfgang Banzhaf:
Evaluating Methods for Constant Optimization of Symbolic Regression Benchmark Problems. BRACIS 2015: 25-30 - [c16]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Predicting High-Performance Concrete Compressive Strength Using Features Constructed by Kaizen Programming. BRACIS 2015: 80-85 - [c15]Vinícius Veloso de Melo, Wolfgang Banzhaf:
Kaizen Programming for Feature Construction for Classification. GPTP 2015: 39-57 - 2014
- [j5]Vinícius Veloso de Melo, Giovanni Iacca:
A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization. Expert Syst. Appl. 41(16): 7077-7094 (2014) - [c14]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Investigation of Linear Genetic Programming Techniques for Symbolic Regression. BRACIS 2014: 146-151 - [c13]Vinícius Veloso de Melo, Giovanni Iacca:
A CMA-ES-based 2-stage memetic framework for solving constrained optimization problems. FOCI 2014: 143-150 - [c12]Léo Françoso Dal Piccol Sotto, Vinícius Veloso de Melo:
Comparison of linear genetic programming variants for symbolic regression. GECCO (Companion) 2014: 135-136 - [c11]Vinícius Veloso de Melo:
Kaizen programming. GECCO 2014: 895-902 - 2013
- [j4]Vinícius Veloso de Melo, Grazieli Luiza Costa Carosio:
Investigating Multi-View Differential Evolution for solving constrained engineering design problems. Expert Syst. Appl. 40(9): 3370-3377 (2013) - [c10]Vinícius Veloso de Melo, Grazieli Luiza Costa Carosio:
Automatic generation of evolutionary operators: a study with mutation strategies for the differential evolution. SAC 2013: 188-193 - 2012
- [j3]Vinícius Veloso de Melo, Grazieli Luiza Costa Carosio:
Evaluating differential evolution with penalty function to solve constrained engineering problems. Expert Syst. Appl. 39(9): 7860-7863 (2012) - [j2]Vinícius Veloso de Melo, Alexandre Cláudio Botazzo Delbem:
Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems. Inf. Sci. 193: 36-53 (2012) - [c9]Vinícius Veloso de Melo:
Benchmarking the multi-view differential evolution on the noiseless BBOB-2012 function testbed. GECCO (Companion) 2012: 183-188 - 2011
- [j1]Vinícius Veloso de Melo, Danilo Vasconcellos Vargas, Márcio Kassouf Crocomo:
Phylogenetic Differential Evolution. Int. J. Nat. Comput. Res. 2(1): 21-38 (2011)
2000 – 2009
- 2009
- [b1]Vinícius Veloso de Melo:
Efficiency-enhancement techniques for metaheuristics applied and continuous global optimization. University of São Paulo, Brazil, 2009 - [c8]Vinícius Veloso de Melo, Thyago S. P. C. Duque, Alexandre C. B. Delbem:
Efficiency Enhancement of ECGA Through Population Size Management. ISDA 2009: 19-24 - [c7]Vinícius Veloso de Melo, Alexandre C. B. Delbem:
Using Smart Sampling to Discover Promising Regions and Increase the Efficiency of Differential Evolution. ISDA 2009: 1394-1399 - 2008
- [c6]Vinícius Veloso de Melo, Alexandre C. B. Delbem:
On promising regions and optimization effectiveness of continuous and deceptive functions. IEEE Congress on Evolutionary Computation 2008: 4184-4191 - [c5]Vinícius Veloso de Melo, Alexandre C. B. Delbem:
Easy Efficiency-Enhancement Technique for the ECGA. SBRN 2008: 69-74 - 2007
- [c4]Vinícius Veloso de Melo, Alexandre C. B. Delbem, Dorival Leao Pinto Junior, Fernando Marques Federson:
Improving global numerical optimization using a search-space reduction algorithm. GECCO 2007: 1195-1202 - [c3]Vinícius Veloso de Melo, Alexandre C. B. Delbem, Dorival Leao Pinto Junior, Fernando Marques Federson:
Discovering Promising Regions to Help Global Numerical Optimization Algorithms. MICAI 2007: 72-82 - 2006
- [c2]Alneu de Andrade Lopes, Rosane Minghim, Vinícius Veloso de Melo, Fernando Vieira Paulovich:
Mapping texts through dimensionality reduction and visualization techniques for interactive exploration of document collections. Visualization and Data Analysis 2006: 60600T - 2005
- [c1]Vinícius Veloso de Melo, Alneu de Andrade Lopes:
Efficient Identification of Duplicate Bibliographical References. LAPTEC 2005: 169-176
Coauthor Index
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last updated on 2024-08-23 18:32 CEST by the dblp team
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