Márcio P. Basgalupp

Márcio P. Basgalupp

Universidade Federal de São Paulo

H-index: 16

Latin America-Brazil

About Márcio P. Basgalupp

Márcio P. Basgalupp, With an exceptional h-index of 16 and a recent h-index of 11 (since 2020), a distinguished researcher at Universidade Federal de São Paulo, specializes in the field of Machine Learning, Evolutionary Algorithms, Data Science, Artificial Intelligence.

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

Automated CNN optimization using multi-objective grammatical evolution

A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies

Tuning Neural Networks for Superior Accuracy on Resource-Constrained Edge Microcontrollers

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

Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

A new grammatical evolution method for generating deep convolutional neural networks with novel topologies

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

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Márcio P. Basgalupp Information

University

Position

Instituto de Ciência e Tecnologia (ICT) -

Citations(all)

1145

Citations(since 2020)

487

Cited By

833

hIndex(all)

16

hIndex(since 2020)

11

i10Index(all)

20

i10Index(since 2020)

13

Email

University Profile Page

Universidade Federal de São Paulo

Google Scholar

View Google Scholar Profile

Márcio P. Basgalupp Skills & Research Interests

Machine Learning

Evolutionary Algorithms

Data Science

Artificial Intelligence

Top articles of Márcio P. Basgalupp

Title

Journal

Author(s)

Publication Date

Automated CNN optimization using multi-objective grammatical evolution

Applied Soft Computing

Cleber ACF da Silva

Daniel Carneiro Rosa

Péricles BC Miranda

Tapas Si

Ricardo Cerri

...

2024/1/1

A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies

Applied Soft Computing

Thiago Z Miranda

Diorge B Sardinha

Ferrante Neri

Márcio P Basgalupp

Ricardo Cerri

2023/12/1

Tuning Neural Networks for Superior Accuracy on Resource-Constrained Edge Microcontrollers

Alexandre M Nascimento

Vinícius V de Melo

Márcio P Basgalupp

2023/4/24

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

Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices

Alexandre Nascimento

Vinicius Melo

Marcio Basgalupp

2023/3/27

A new grammatical evolution method for generating deep convolutional neural networks with novel topologies

Thiago Zafalon Miranda

Diorge Brognara Sardinha

Márcio Porto Basgalupp

Ricardo Cerri

2022/7/9

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

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Evolutionary Intelligence

Márcio P Basgalupp

Rodrigo C Barros

Alex Guimarães Cardoso de Sá

Gisele L Pappa

Rafael Gomes Mantovani

...

2021/12

Beyond global and local multi-target learning

Information Sciences

Márcio Basgalupp

Ricardo Cerri

Leander Schietgat

Isaac Triguero

Celine Vens

2021/11/1

Graph representations in genetic programming

Léo Francoso Dal Piccol Sotto

Paul Kaufmann

Timothy Atkinson

Roman Kalkreuth

Márcio Porto Basgalupp

2021

Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm

Thiago Zafalon Miranda

Diorge Brognara Sardinha

Márcio Porto Basgalupp

Yaochu Jin

Ricardo Cerri

2020/7/8

A study on graph representations for genetic programming

Léo Françoso DP Sotto

Paul Kaufmann

Timothy Atkinson

Roman Kalkreuth

Márcio Porto Basgalupp

2020/6/25

See List of Professors in Márcio P. Basgalupp University(Universidade Federal de São Paulo)

Co-Authors

H-index: 69
Freitas, Alex A.

Freitas, Alex A.

University of Kent

H-index: 33
Rodrigo Coelho Barros

Rodrigo Coelho Barros

Pontifícia Universidade Católica do Rio Grande do Sul

H-index: 22
Karin Becker

Karin Becker

Universidade Federal do Rio Grande do Sul

H-index: 22
Duncan Dubugras Alcoba Ruiz

Duncan Dubugras Alcoba Ruiz

Pontifícia Universidade Católica do Rio Grande do Sul

H-index: 17
Marcos G. Quiles

Marcos G. Quiles

Universidade Federal de São Paulo

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