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 (IJCNN, 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 (SBRN, 2006)

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 (IJCNN, 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 (IJCNN, 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 (IJCNN, 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 (IJCNN, 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 (IJCNN, 2008)

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 (ICANN (1), 2009)

Semisupervised Classification With Cluster Regularization. - Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2012)

On the performance of pairings of activation and loss functions in neural networks. - Rodrigo G. F. Soares; Emeson J. S. Pereira (IJCNN, 2016)

A Cluster-Based Semisupervised Ensemble for Multiclass Classification. - Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

Effort Estimation via Text Classification And Autoencoders. - Rodrigo G. F. Soares (IJCNN, 2018)

Efficient Cluster-Based Boosting for Semisupervised Classification. - Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

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 (SIIE, 2020)

OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams. - Rodrigo G. F. Soares; Leandro L. Minku (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Weight Averaging Neural Network for Semi-supervised Data Stream Learning. - Douglas Almeida Vidal; Rodrigo G. F. Soares; Glauco Estácio Gonçalves; Aline P. S. C. Feitosa; Kauan M. Tavares; Marcos C. R. Seruffo (ICONIP (2), 2024)

Online ensemble model compression for nonstationary data stream learning. - Rodrigo G. F. Soares; Leandro L. Minku (Neural Networks, 2025)