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Márcio P. Basgalupp

Márcio Porto Basgalupp

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2020 – today

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2024
[j17]
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Thiago Zafalon Miranda, Diorge Brognara Sardinha, Ferrante Neri, Márcio P. Basgalupp, Ricardo Cerri:
A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies. Appl. Soft Comput. 149(Part A): 110967 (2024)
[j16]
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Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. Miranda, Tapas Si, Ricardo Cerri, Márcio P. Basgalupp:
Automated CNN optimization using multi-objective grammatical evolution. Appl. Soft Comput. 151: 111124 (2024)
[c32]
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Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, Fábio F. Silveira, Péricles B. C. Miranda, Ferrante Neri:
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction. CEC 2024: 1-8
[c31]
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Péricles B. C. Miranda, Leonardo Monte, André C. A. Nascimento, Márcio P. Basgalupp, José Leovigildo Coelho:
Machine Learning and IoT for Predicting the Productivity of MRI Equipment. IJCNN 2024: 1-8
2023
[c30]
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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
[j15]
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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)
[c29]
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Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Ricardo Cerri:
A new grammatical evolution method for generating deep convolutional neural networks with novel topologies. GECCO Companion 2022: 663-666
2021
[j14]
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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:
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms. Evol. Intell. 14(4): 1895-1914 (2021)
[j13]
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Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
Graph representations in genetic programming. Genet. Program. Evolvable Mach. 22(4): 607-636 (2021)
[j12]
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Márcio P. Basgalupp, Ricardo Cerri, Leander Schietgat, Isaac Triguero, Celine Vens:
Beyond global and local multi-target learning. Inf. Sci. 579: 508-524 (2021)
2020
[c28]
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Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of consistent sets of multi-label classification rules with a multi-objective evolutionary algorithm. GECCO Companion 2020: 143-144
[c27]
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Léo Françoso Dal Piccol Sotto, Paul Kaufmann, Timothy Atkinson, Roman Kalkreuth, Márcio Porto Basgalupp:
A study on graph representations for genetic programming. GECCO 2020: 931-939
[i2]
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  - journals/corr/abs-2003-12526
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Thiago Zafalon Miranda, Diorge Brognara Sardinha, Márcio Porto Basgalupp, Yaochu Jin, Ricardo Cerri:
Generation of Consistent Sets of Multi-Label Classification Rules with a Multi-Objective Evolutionary Algorithm. CoRR abs/2003.12526 (2020)
[i1]
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  - journals/corr/abs-2009-07430
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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:
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version). CoRR abs/2009.07430 (2020)

2010 – 2019

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2019
[j11]
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Ricardo Cerri, Márcio P. Basgalupp, Rodrigo C. Barros, André C. P. L. F. de Carvalho:
Inducing Hierarchical Multi-label Classification rules with Genetic Algorithms. Appl. Soft Comput. 77: 584-604 (2019)
2018
[c26]
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Henry E. L. Cagnini, Márcio Porto Basgalupp, Rodrigo C. Barros:
Increasing Boosting Effectiveness with Estimation of Distribution Algorithms. CEC 2018: 1-8
[c25]
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Rodrigo Francisquini, Mariá C. V. Nascimento, Márcio P. Basgalupp:
NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed Networks. CEC 2018: 1-8
[c24]
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Guilherme Ribeiroda Silva, Márcio P. Basgalupp, Ana Carolina Lorena:
Automatic Design of Evolutionary Algorithms Based on Entropy Triggers. CEC 2018: 1-8
[c23]
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Karla R. Cardoso, Marcos E. Cintra, Márcio P. Basgalupp:
Extracting Rules for Black Jack Using Machine Learning and Fuzzy Systems. FUZZ-IEEE 2018: 1-6
[c22]
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Ricardo Cerri, Rafael Gomes Mantovani, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction. IJCNN 2018: 1-7
2017
[j10]
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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)
[c21]
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Henry E. L. Cagnini, Rodrigo C. Barros, Márcio P. Basgalupp:
Estimation of distribution algorithms for decision-tree induction. CEC 2017: 2022-2029
[c20]
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Jeferson S. Santos, Ricardo Manhães Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Márcio P. Basgalupp:
Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. ICCSA (1) 2017: 298-313
[c19]
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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
[c18]
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Arua De M. Sousa, Ana Carolina Lorena, Márcio P. Basgalupp:
GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions. TrustCom/BigDataSE/ICESS 2017: 941-948
2016
[c17]
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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
[c16]
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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
[c15]
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Henry E. L. Cagnini, Rodrigo C. Barros, Christian Vahl Quevedo, Márcio P. Basgalupp:
Medoid-based data clustering with estimation of distribution algorithms. SAC 2016: 112-115
2015
[j9]
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Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. Genet. Program. Evolvable Mach. 16(3): 241-281 (2015)
[c14]
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Vili Podgorelec, Saso Karakatic, Rodrigo C. Barros, Márcio P. Basgalupp:
Evolving balanced decision trees with a multi-population genetic algorithm. CEC 2015: 54-61
[c13]
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Rodrigo C. Barros, Christian Vahl Quevedo, Renata De Paris, Márcio P. Basgalupp:
Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. CEC 2015: 2058-2065
[c12]
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Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve:
#Worldcup2014 on Twitter. ICCSA (1) 2015: 447-458
[c11]
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Márcio P. Basgalupp, Rodrigo C. Barros, Vili Podgorelec:
Evolving decision-tree induction algorithms with a multi-objective hyper-heuristic. SAC 2015: 110-117
2014
[j8]
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Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation. Inf. Sci. 258: 160-181 (2014)
[j7]
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Rodrigo C. Barros, Márcio P. Basgalupp, Alex Alves Freitas, André Carlos Ponce de Leon Ferreira de Carvalho:
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets. IEEE Trans. Evol. Comput. 18(6): 873-892 (2014)
[c10]
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Márcio Porto Basgalupp, Rodrigo Coelho Barros, Tiago Barabasz:
A grammatical evolution based hyper-heuristic for the automatic design of split criteria. GECCO 2014: 1311-1318
2013
[j6]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms. Evol. Comput. 21(4): 659-684 (2013)
[c9]
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Rodrigo C. Barros, Márcio P. Basgalupp, Ricardo Cerri, Tiago Silva da Silva, André C. P. L. F. de Carvalho:
A grammatical evolution approach for software effort estimation. GECCO 2013: 1413-1420
[c8]
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Márcio P. Basgalupp, Rodrigo C. Barros, Tiago Silva da Silva, André C. P. L. F. de Carvalho:
Software effort prediction: a hyper-heuristic decision-tree based approach. SAC 2013: 1109-1116
2012
[j5]
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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:
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 13: 310 (2012)
[j4]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles:
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. 18(4): 351-362 (2012)
[j3]
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Rodrigo Coelho Barros, Márcio Porto Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A Survey of Evolutionary Algorithms for Decision-Tree Induction. IEEE Trans. Syst. Man Cybern. Part C 42(3): 291-312 (2012)
[c7]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms. GECCO 2012: 1237-1244
[c6]
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Márcio P. Basgalupp, Rodrigo C. Barros, Duncan D. Ruiz:
Predicting software maintenance effort through evolutionary-based decision trees. SAC 2012: 1209-1214
2011
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Rodrigo C. Barros, Duncan D. Ruiz, Márcio P. Basgalupp:
Evolutionary model trees for handling continuous classes in machine learning. Inf. Sci. 181(5): 954-971 (2011)
[c5]
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Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Towards the automatic design of decision tree induction algorithms. GECCO (Companion) 2011: 567-574
[c4]
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Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles:
A clustering-based decision tree induction algorithm. ISDA 2011: 543-550
2010
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Márcio Porto Basgalupp:
LEGAL-Tree: a lexocographic genetic algorithm for learning decision trees. University of São Paulo, Brazil, 2010
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Rodrigo C. Barros, Márcio P. Basgalupp, Duncan D. Ruiz, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas:
Evolutionary model tree induction. SAC 2010: 1131-1137

2000 – 2009

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2009
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Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo C. Barros, Duncan D. Ruiz, Alex Alves Freitas:
Lexicographic multi-objective evolutionary induction of decision trees. Int. J. Bio Inspired Comput. 1(1/2): 105-117 (2009)
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Márcio P. Basgalupp, Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Duncan D. Ruiz:
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction. SAC 2009: 1085-1090
2008
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  persistent URL:
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Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Nelson N. Tenório Jr., Márcio P. Basgalupp, Karin Becker:
Issues on Estimating Software Metrics in a Large Software Operation. SEW 2008: 152-160

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