Rodrigo G. F. Soares

According to our database, Rodrigo G. F. Soares authored at least 15 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams.

Rodrigo G. F. Soares, Leandro L. Minku

IEEE Trans. Neural Networks Learn. Syst., September, 2023

2020

Métodos de Machine Learning Aplicados no Cenário da Educaçáo a Distância Brasileira (Machine Learning Techniques Applied to the Brazilian Distance Education).

Charles Nicollas C. Freitas, Roberta M. M. Gouveia, Rodrigo G. F. Soares

Proceedings of the 22th International Symposium on Computers in Education, 2020

2018

Efficient Cluster-Based Boosting for Semisupervised Classification.

Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., 2018

Effort Estimation via Text Classification And Autoencoders.

Rodrigo G. F. Soares

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A Cluster-Based Semisupervised Ensemble for Multiclass Classification.

Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., 2017

2016

On the performance of pairings of activation and loss functions in neural networks.

Rodrigo G. F. Soares, Emeson J. S. Pereira

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2012

Semisupervised Classification With Cluster Regularization.

Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao

IEEE Trans. Neural Networks Learn. Syst., 2012

2009

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data.

Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Proceedings of the Artificial Neural Networks, 2009

2008

Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles.

Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2008

Ranking and selecting clustering algorithms using a meta-learning approach.

Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep

Proceedings of the International Joint Conference on Neural Networks, 2008

Comparative study on normalization procedures for cluster analysis of gene expression datasets.

Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep

Proceedings of the International Joint Conference on Neural Networks, 2008

An evolutionary approach for the clustering data problem.

Rodrigo G. F. Soares, Kelly P. Silva, Teresa Bernarda Ludermir, Francisco de A. T. de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2008

Evolving both size and accuracy of RBF networks using Memetic Algorithm.

Kelly P. Silva, Rodrigo G. F. Soares, Francisco de A. T. de Carvalho, Teresa Bernarda Ludermir

Proceedings of the International Joint Conference on Neural Networks, 2008

2006

A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.

Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the SBRN 2006, 2006

Using Accuracy and Diversity to Select Classifiers to Build Ensembles.

Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the International Joint Conference on Neural Networks, 2006