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 (SEW, 2008)

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 (SAC, 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)

Evolutionary model tree induction. - Rodrigo C. Barros; Márcio P. Basgalupp; Duncan D. Ruiz; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas (SAC, 2010)

LEGAL-Tree: a lexocographic genetic algorithm for learning decision trees. - Márcio Porto Basgalupp (2010)

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 (GECCO (Companion), 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 (ISDA, 2011)

Evolutionary model trees for handling continuous classes in machine learning. - Rodrigo C. Barros; Duncan D. Ruiz; Márcio P. Basgalupp (Inf. Sci., 2011)

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 (GECCO, 2012)

Predicting software maintenance effort through evolutionary-based decision trees. - Márcio P. Basgalupp; Rodrigo C. Barros; Duncan D. Ruiz (SAC, 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)

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)

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)

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 (GECCO, 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 (SAC, 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)

A grammatical evolution based hyper-heuristic for the automatic design of split criteria. - Márcio Porto Basgalupp; Rodrigo Coelho Barros; Tiago Barabasz (GECCO, 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)

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)

Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. - Rodrigo C. Barros; Christian Vahl Quevedo; Renata De Paris; Márcio P. Basgalupp (CEC, 2015)

Evolving balanced decision trees with a multi-population genetic algorithm. - Vili Podgorelec; Saso Karakatic; Rodrigo C. Barros; Márcio P. Basgalupp (CEC, 2015)

#Worldcup2014 on Twitter. - Wilson Seron; Ezequiel Roberto Zorzal; Marcos G. Quiles; Márcio P. Basgalupp; Fabricio A. Breve (ICCSA (1), 2015)

Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. - Márcio P. Basgalupp; Rodrigo C. Barros; Vili Podgorelec (SAC, 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)

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)

Medoid-based data clustering with estimation of distribution algorithms. - Henry E. L. Cagnini; Rodrigo C. Barros; Christian Vahl Quevedo; Márcio P. Basgalupp (SAC, 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)

Estimation of distribution algorithms for decision-tree induction. - Henry E. L. Cagnini; Rodrigo C. Barros; Márcio P. Basgalupp (CEC, 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 (ICCSA (1), 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)

GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions. - Arua De M. Sousa; Ana Carolina Lorena; Márcio P. Basgalupp (TrustCom/BigDataSE/ICESS, 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)

Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. - Henry E. L. Cagnini; Márcio Porto Basgalupp; Rodrigo C. Barros (CEC, 2018)

NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed Networks. - Rodrigo Francisquini; Mariá C. V. Nascimento; Márcio P. Basgalupp (CEC, 2018)

Automatic Design of Evolutionary Algorithms Based on Entropy Triggers. - Guilherme Ribeiroda Silva; Márcio P. Basgalupp; Ana Carolina Lorena (CEC, 2018)

Extracting Rules for Black Jack Using Machine Learning and Fuzzy Systems. - Karla R. Cardoso; Marcos E. Cintra; Márcio P. Basgalupp (FUZZ-IEEE, 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 (IJCNN, 2018)

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)

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 (GECCO Companion, 2020)

A study on graph representations for genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (GECCO, 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)

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)

Graph representations in genetic programming. - Léo Françoso Dal Piccol Sotto; Paul Kaufmann; Timothy Atkinson 001; Roman Kalkreuth; Márcio Porto Basgalupp (Genet. Program. Evolvable Mach., 2021)

Beyond global and local multi-target learning. - Márcio P. Basgalupp; Ricardo Cerri; Leander Schietgat; Isaac Triguero; Celine Vens (Inf. Sci., 2021)

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 (GECCO Companion, 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)

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)

An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. - Márcio P. Basgalupp; Rodrigo C. Barros; Tiago Silva da Silva; Fábio F. Silveira; Péricles B. C. Miranda; Ferrante Neri (CEC, 2024)

Machine Learning and IoT for Predicting the Productivity of MRI Equipment. - Péricles B. C. Miranda; Leonardo Monte; André C. A. Nascimento; Márcio P. Basgalupp; José Leovigildo Coelho (IJCNN, 2024)

Automated CNN optimization using multi-objective grammatical evolution. - Cleber A. C. F. da Silva; Daniel Carneiro Rosa; Péricles B. C. Miranda; Tapas Si; Ricardo Cerri; Márcio P. Basgalupp (Appl. Soft Comput., 2024)

A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies. - Thiago Zafalon Miranda; Diorge Brognara Sardinha; Ferrante Neri; Márcio P. Basgalupp; Ricardo Cerri (Appl. Soft Comput., 2024)

Grammar-based Evolutionary Approaches for Software Effort Estimation. - Márcio P. Basgalupp; Rodrigo C. Barros; Ricardo Cerri; Ferrante Neri; Péricles B. C. Miranda; Teresa Bernarda Ludermir (CEC, 2025)

Data Balancing for Mitigating Sampling Bias in Machine Learning. - Ronaldo Inocêncio Júnior; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)

Network-based instance hardness measures for classification problems. - Gustavo P. Torquette; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)