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João Carlos Xavier Jr.
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2020 – today
- 2022
- [j13]Cephas A. S. Barreto, Arthur Costa Gorgônio, João C. Xavier Junior, Anne Magály de Paula Canuto:
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods. IEEE Access 10: 43535-43551 (2022) - [c30]Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes:
An exploratory analysis of a dynamic ensemble structure using an automatic decision process. ICMLA 2022: 872-875 - [e2]João Carlos Xavier Junior, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13653, Springer 2022, ISBN 978-3-031-21685-5 [contents] - [e1]João Carlos Xavier Junior, Ricardo Araújo Rios:
Intelligent Systems - 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13654, Springer 2022, ISBN 978-3-031-21688-6 [contents] - 2021
- [j12]Robercy Alves da Silva, Anne Magály de Paula Canuto, Cephas A. S. Barreto, João Carlos Xavier Junior:
Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning. IEEE Access 9: 106254-106268 (2021) - [j11]Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira:
A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results. Nat. Comput. 20(4): 805-819 (2021) - 2020
- [j10]João Carlos Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves:
Two approaches for clustering algorithms with relational-based data. Knowl. Inf. Syst. 62(3): 1229-1253 (2020) - [j9]Anne M. P. Canuto, Antonino Feitosa Neto, Huliane M. Silva, João C. Xavier Junior, Cephas A. S. Barreto:
Population-based bio-inspired algorithms for cluster ensembles optimization. Nat. Comput. 19(3): 515-532 (2020) - [j8]João Carlos Xavier Junior, Alex Alves Freitas, Teresa Bernarda Ludermir, Antonino Feitosa Neto, Cephas A. S. Barreto:
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results. Theor. Comput. Sci. 805: 1-18 (2020) - [c29]Cephas A. S. Barreto, Arthur C. Gorgônio, Anne M. P. Canuto, João Carlos Xavier Jr.:
A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods. BRACIS (2) 2020: 352-366 - [c28]Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.:
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles. ICMLA 2020: 535-538 - [c27]Cephas A. S. Barreto, Anne Magály de Paula Canuto, João C. Xavier Junior, Arthur Costa Gorgônio, Douglas F. A. Lima, Ranna R. F. da Costa:
Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c26]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure. BRACIS 2019: 108-113 - [c25]Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira:
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles. BRACIS 2019: 323-328 - 2018
- [j7]Antonino Feitosa Neto, Anne M. P. Canuto, João Carlos Xavier Jr.:
Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles. Inf. 9(11): 268 (2018) - [c24]João C. Xavier Junior, Alex Alves Freitas, Antonino Feitosa Neto, Teresa Bernarda Ludermir:
A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles. BRACIS 2018: 462-467 - [c23]Rômulo de Oliveira Nunes, Carine Azevedo Dantas, Anne Magály de Paula Canuto, João Carlos Xavier Junior:
Dynamic Feature Selection for Classifier Ensembles. BRACIS 2018: 468-473 - [c22]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.:
Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers. IJCNN 2018: 1-8 - [c21]Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir:
Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. IJCNN 2018: 1-8 - 2017
- [c20]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.:
Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method. BRACIS 2017: 55-60 - [c19]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity. ICANN (2) 2017: 467-474 - [c18]Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. S. Barreto:
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems. IJCNN 2017: 3967-3974 - 2016
- [c17]Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João C. Xavier:
A Bio-inspired Optimization Technique for Cluster Ensembles Optimization. BRACIS 2016: 253-258 - [c16]Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João Carlos Xavier Jr.:
Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm. ICANN (2) 2016: 275-282 - [c15]Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior:
An unsupervised-based dynamic feature selection for classification tasks. IJCNN 2016: 4213-4220 - 2015
- [c14]Jose Augusto S. Lustosa Filho, Anne M. P. Canuto, João Carlos Xavier Jr.:
An analysis of diversity measures for the dynamic design of ensemble of classifiers. IJCNN 2015: 1-8 - [c13]Inácio Gomes Medeiros, João Carlos Xavier Jr., Anne M. P. Canuto:
Applying the Coral Reefs Optimization algorithm to clustering problems. IJCNN 2015: 1-8 - 2013
- [j6]Anne M. P. Canuto, Fernando Pintro, João C. Xavier Junior:
Investigating fusion approaches in multi-biometric cancellable recognition. Expert Syst. Appl. 40(6): 1971-1980 (2013) - [c12]Regina R. Parente, Anne M. P. Canuto, João Carlos Xavier Jr.:
Characterization measures of ensemble systems using a meta-learning approach. IJCNN 2013: 1-8 - [c11]João Carlos Xavier Jr., Anne M. P. Canuto, Noriedson D. Almeida, Luiz Marcos Garcia Gonçalves:
A comparative analysis of dissimilarity measures for clustering categorical data. IJCNN 2013: 1-8 - 2012
- [c10]João C. Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves, Luiz A. H. G. de Oliveira:
New Approach for Clustering Relational Data Based on Relationship and Attribute Information. ICANN (2) 2012: 451-458 - 2011
- [j5]Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, João C. Xavier Junior, Antonino Feitosa Neto, Luiz Marcos Garcia Gonçalves:
Classifier ensembles and optimization techniques to improve the performance of cancellable fingerprint. Int. J. Hybrid Intell. Syst. 8(3): 143-154 (2011) - [c9]João C. Xavier Junior, Alberto Signoretti, Anne M. P. Canuto, André M. C. Campos, Luiz Marcos Gonçalves, Sérgio V. Fialho:
Introducing Affective Agents in Recommendation Systems Based on Relational Data Clustering. DEXA (2) 2011: 303-310 - [c8]Alberto Signoretti, Antonino Feitosa Neto, André M. C. Campos, Anne M. P. Canuto, João C. Xavier Junior, Sérgio V. Fialho:
Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents. IAT 2011: 97-100 - [c7]João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
A hierarchical approach to represent relational data applied to clustering tasks. IJCNN 2011: 3055-3062 - 2010
- [j4]João C. Xavier, Paulo C. Rech:
Regular and Chaotic Dynamics of the Lorenz-Stenflo System. Int. J. Bifurc. Chaos 20(1): 145-152 (2010) - [c6]João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves:
Web log data clustering for a multi-agent recommendation system. ICMLC 2010: 471-476
2000 – 2009
- 2008
- [j3]Anne M. P. Canuto, Laura Emmanuella A. Santana, Márjory C. C. Abreu, João Carlos Xavier Jr.:
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks. Neurocomputing 71(16-18): 3319-3325 (2008) - [c5]Araken M. Santos, Anne M. P. Canuto, João Carlos Xavier Jr.:
Accuracy and Diversity in Ensemble Systems Composed of ARTMAP-Based Models. HIS 2008: 392-397 - [c4]Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.:
Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods. ICANN (1) 2008: 245-254 - [c3]Raul Benites Paradeda, João Carlos Xavier Jr., Anne M. P. Canuto:
Applying Static and Dynamic Weight Measures in Ensemble Systems. SBRN 2008: 45-50 - 2007
- [j2]Anne M. P. Canuto, Márjory C. C. Abreu, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos:
Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles. Pattern Recognit. Lett. 28(4): 472-486 (2007) - 2006
- [j1]Anne M. P. Canuto, Diogo Fagundes, Márjory C. C. Abreu, João Carlos Xavier Jr.:
Using weighted dynamic classifier selection methods in ensembles with different levels of diversity. Int. J. Hybrid Intell. Syst. 3(3): 147-158 (2006) - [c2]Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr., André M. C. Campos:
A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks. HIS 2006: 9 - 2005
- [c1]Anne M. P. Canuto, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos, Márjory C. C. Abreu:
Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles. HIS 2005: 285-290
Coauthor Index
aka: Anne Magály de Paula Canuto
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