Márcio P. Basgalupp
Orcid: 0000-0002-2005-1249
According to our database1,
Márcio P. Basgalupp
authored at least 51 papers
between 2008 and 2024.
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Bibliography
2024
A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies.
Appl. Soft Comput., December, 2024
Appl. Soft Comput., January, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
An Experimental Analysis on Automated Machine Learning for Software Defect Prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
2022
An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming.
Evol. Comput., 2022
A new grammatical evolution method for generating deep convolutional neural networks with novel topologies.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
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.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Appl. Soft Comput., 2019
2018
Multi-label Feature Selection Techniques for Hierarchical Multi-label Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
NGA-LP: A Robust and Improved Genetic Algorithm to Detect Communities in Directed Networks.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
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.
Knowl. Inf. Syst., 2017
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017
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.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
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.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Enhancing discrimination power with genetic feature construction: A grammatical evolution approach.
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.
Genet. Program. Evolvable Mach., 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.
IEEE Trans. Evol. Comput., 2014
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.
Inf. Sci., 2014
A grammatical evolution based hyper-heuristic for the automatic design of split criteria.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
Evol. Comput., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.
J. Braz. Comput. Soc., 2012
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.
BMC Bioinform., 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Inf. Sci., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
PhD thesis, 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
2009
Int. J. Bio Inspired Comput., 2009
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
2008
Proceedings of the 32nd Annual IEEE Software Engineering Workshop, 2008