ProfessorsProfessors of Universidade Federal de São PauloVinicius Veloso de Melo

Vinicius Veloso de Melo

Universidade Federal de São Paulo

H-index: 16

Latin America-Brazil

About Vinicius Veloso de Melo

Vinicius Veloso de Melo, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidade Federal de São Paulo, specializes in the field of Artificial Intelligence, Bioinspired Computing, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Two-Step Approach to Boost Neural Network Generalizability in Predicting Defective Software

Applying Artificial Intelligence to Reduce Food Waste in Small Grocery Stores

An Evolutionary Approach for Creating of Diverse Classifier Ensembles

An analysis of the influence of noneffective instructions in linear genetic programming

Cluster-centroid-based mutation strategies for Differential Evolution

Otimizaçao de Desempenho em Código Interpretador de Programaçao Genética

An improved Jaya optimization algorithm with Lévy flight

Artificial intelligence applied to small businesses: the use of automatic feature engineering and machine learning for more accurate planning

Vinicius Veloso de Melo Information

University	Universidade Federal de São Paulo
Position	Professor of Computer Science -SJC Brazil
Citations(all)	1072
Citations(since 2020)	687
Cited By	570
hIndex(all)	16
hIndex(since 2020)	13
i10Index(all)	22
i10Index(since 2020)	17
Email	Access Email
University Profile Page	Universidade Federal de São Paulo
Google Scholar	View Google Scholar Profile

Vinicius Veloso de Melo Skills & Research Interests

Artificial Intelligence

Bioinspired Computing

Optimization

Top articles of Vinicius Veloso de Melo

Title	Journal	Author(s)	Publication Date
A Two-Step Approach to Boost Neural Network Generalizability in Predicting Defective Software		Alexandre Nascimento Vinicius Veloso de Melo Marcio Basgalupp Luis Alberto Viera Dias	2023/4/24
Applying Artificial Intelligence to Reduce Food Waste in Small Grocery Stores		Alexandre M Nascimento Anna Queiroz Vinicius V de Melo Fernando S Meirelles	2022
An Evolutionary Approach for Creating of Diverse Classifier Ensembles		Alvaro R. Ferreira Jr Fabio A. Faria Gustavo Carneiro Vinicius V. de Melo	2022
An analysis of the influence of noneffective instructions in linear genetic programming	Evolutionary Computation	Léo Françoso Dal Piccol Sotto Franz Rothlauf Vinícius Veloso de Melo Márcio P Basgalupp	2022/3/1
Cluster-centroid-based mutation strategies for Differential Evolution	Soft Computing	Giovanni Iacca Vinícius Veloso de Melo	2022/2
Otimizaçao de Desempenho em Código Interpretador de Programaçao Genética		Lucas Bicalho Oliveira Alvaro Luiz Fazenda Vinícius Veloso de Melo	2021/5/6
An improved Jaya optimization algorithm with Lévy flight	Expert Systems with Applications	Giovanni Iacca Vlademir Celso dos Santos Junior Vinicius Veloso de Melo	2021/3/1
Artificial intelligence applied to small businesses: the use of automatic feature engineering and machine learning for more accurate planning	Revista de Contabilidade e Organizações	Alexandre Moreira Nascimento Vinicius Veloso de Melo Anna Carolina Muller Queiroz Thomas Brashear-Alejandro Fernando de Souza Meirelles	2021
Inteligência artificial aplicada a pequenas empresas: o uso da engenharia automática de recursos e do aprendizado de máquina para um planejamento mais preciso.	Revista de Contabilidade e Organizações	Alexandre Moreira Nascimento Vinicius Veloso de Melo Anna Carolina Muller Queiroz Thomas Brashear-Alejandro Fernando de Souza Meirelles	2020/1/1
A MIMD interpreter for genetic programming		Vinícius Veloso de Melo Álvaro Luiz Fazenda Léo Françoso Dal Piccol Sotto Giovanni Iacca	2020/4/15
Análise Preliminar de Desempenho de Interpretação Paralela de Indivíduos de Programação Genética		Lucas Bicalho Oliveira Alvaro Luiz Fazenda Vinícius Veloso Melo	2020/8/19