Márcio P. Basgalupp

According to our database, Márcio P. Basgalupp authored at least 48 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated CNN optimization using multi-objective grammatical evolution.

Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp

Appl. Soft Comput., January, 2024

2023

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

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

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

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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Beyond global and local multi-target learning.

Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens

Inf. Sci., 2021

Graph representations in genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Genet. Program. Evolvable Mach., 2021

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

Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas

Evol. Intell., 2021

2020

An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).

Márcio P. Basgalupp, Rodrigo C. Barros, Alex Guimarães Cardoso de Sá, Gisele L. Pappa, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho, Alex Alves Freitas

CoRR, 2020

A study on graph representations for genetic programming.

Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

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

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms.

Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho

Appl. Soft Comput., 2019

2018

Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.

Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Extracting Rules for Black Jack Using Machine Learning and Fuzzy Systems.

Karla R. Cardoso, Marcos E. Cintra, Márcio P. Basgalupp

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Automatic Design of Evolutionary Algorithms Based on Entropy Triggers.

Guilherme Ribeiroda Silva, Márcio P. Basgalupp, Ana Carolina Lorena

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed Networks.

Rodrigo Francisquini, Mariá C. V. Nascimento, Márcio P. Basgalupp

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Increasing Boosting Effectiveness with Estimation of Distribution Algorithms.

Henry E. L. Cagnini, Márcio Porto Basgalupp, Rodrigo C. Barros

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

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

GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions.

Arua De M. Sousa, Ana Carolina Lorena, Márcio P. Basgalupp

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 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

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning.

Jeferson S. Santos, Ricardo Manhães Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Márcio P. Basgalupp

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Estimation of distribution algorithms for decision-tree induction.

Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

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

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Medoid-based data clustering with estimation of distribution algorithms.

Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Márcio P. Basgalupp

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

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

Patricia Miquilini, Rodrigo C. Barros, Vinícius Veloso de Melo, Márcio P. Basgalupp

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification.

Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho

Genet. Program. Evolvable Mach., 2015

Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic.

Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

#Worldcup2014 on Twitter.

Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

Evolving balanced decision trees with a multi-population genetic algorithm.

Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm.

Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.

Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho

IEEE Trans. Evol. Comput., 2014

Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.

Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

Inf. Sci., 2014

A grammatical evolution based hyper-heuristic for the automatic design of split criteria.

Márcio Porto Basgalupp, Rodrigo Coelho Barros, Tiago Barabasz

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms.

Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

Evol. Comput., 2013

Software effort prediction: a hyper-heuristic decision-tree based approach.

Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, André C. P. L. F. de Carvalho

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

A grammatical evolution approach for software effort estimation.

Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012

A Survey of Evolutionary Algorithms for Decision-Tree Induction.

Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

IEEE Trans. Syst. Man Cybern. Part C, 2012

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.

Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles

J. Braz. Comput. Soc., 2012

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.

Rodrigo C. Barros, Ana T. Winck, Karina S. Machado, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Duncan D. Ruiz, Osmar Norberto de Souza

BMC Bioinform., 2012

Predicting software maintenance effort through evolutionary-based decision trees.

Márcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz

Proceedings of the ACM Symposium on Applied Computing, 2012

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.

Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Evolutionary model trees for handling continuous classes in machine learning.

Rodrigo C. Barros, Duncan D. Ruiz, Márcio P. Basgalupp

Inf. Sci., 2011

A clustering-based decision tree induction algorithm.

Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Towards the automatic design of decision tree induction algorithms.

Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

LEGAL-Tree: a lexocographic genetic algorithm for learning decision trees.

Márcio Porto Basgalupp

PhD thesis, 2010

Evolutionary model tree induction.

Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009

Lexicographic multi-objective evolutionary induction of decision trees.

Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas

Int. J. Bio Inspired Comput., 2009

LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.

Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

2008

Issues on Estimating Software Metrics in a Large Software Operation.

Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Nelson N. Tenório Jr., Márcio P. Basgalupp, Karin Becker

Proceedings of the 32nd Annual IEEE Software Engineering Workshop, 2008