João Carlos Xavier Jr.

According to our database1, João Carlos Xavier Jr. authored at least 38 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2020
An evolutionary algorithm for automated machine learning focusing on classifier ensembles: An improved algorithm and extended results.
Theor. Comput. Sci., 2020

Population-based bio-inspired algorithms for cluster ensembles optimization.
Nat. Comput., 2020

Two approaches for clustering algorithms with relational-based data.
Knowl. Inf. Syst., 2020

Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles.
Inf., 2018

Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dynamic Feature Selection for Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

A Novel Evolutionary Algorithm for Automated Machine Learning Focusing on Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
An unsupervised-based dynamic feature selection for classification tasks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A Bio-inspired Optimization Technique for Cluster Ensembles Optimization.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Applying the Coral Reefs Optimization algorithm to clustering problems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An analysis of diversity measures for the dynamic design of ensemble of classifiers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2013
Investigating fusion approaches in multi-biometric cancellable recognition.
Expert Syst. Appl., 2013

A comparative analysis of dissimilarity measures for clustering categorical data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Characterization measures of ensemble systems using a meta-learning approach.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
New Approach for Clustering Relational Data Based on Relationship and Attribute Information.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Classifier ensembles and optimization techniques to improve the performance of cancellable fingerprint.
Int. J. Hybrid Intell. Syst., 2011

A hierarchical approach to represent relational data applied to clustering tasks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Introducing Affective Agents in Recommendation Systems Based on Relational Data Clustering.
Proceedings of the Database and Expert Systems Applications, 2011

2010
Regular and Chaotic Dynamics of the Lorenz-Stenflo System.
Int. J. Bifurc. Chaos, 2010

Web log data clustering for a multi-agent recommendation system.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks.
Neurocomputing, 2008

Applying Static and Dynamic Weight Measures in Ensemble Systems.
Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.
Proceedings of the Artificial Neural Networks, 2008

Accuracy and Diversity in Ensemble Systems Composed of ARTMAP-Based Models.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
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., 2007

2006
Using weighted dynamic classifier selection methods in ensembles with different levels of diversity.
Int. J. Hybrid Intell. Syst., 2006

A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005
Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005


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