Ensembling Heterogeneous Learning Models with Boosting. - Diego Silveira Costa Nascimento; André L. V. Coelho (ICONIP (1), 2009)

On the evolutionary design of heterogeneous Bagging models. - André L. V. Coelho; Diego Silveira Costa Nascimento (Neurocomputing, 2010)

Combining different ways to generate diversity in bagging models: An evolutionary approach. - Diego Silveira Costa Nascimento; Anne Magály de Paula Canuto; Ligia Maria Moura e Silva; André Luís Vasconcelos Coelho (IJCNN, 2011)

A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function. - Anne M. P. Canuto; Diego Silveira Costa Nascimento (IJCNN, 2012)

An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems. - Diego Silveira Costa Nascimento; Anne M. P. Canuto; André L. V. Coelho (BRACIS, 2014)

Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study. - Diego Silveira Costa Nascimento; André L. V. Coelho; Anne M. P. Canuto (Neurocomputing, 2014)

Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers. - Diego Silveira Costa Nascimento; Danilo R. C. Bandeira; Anne M. P. Canuto; Daniel Araújo 001 (IJCNN, 2018)

Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction. - Danilo Rodrigo Cavalcante Bandeira; Anne Magály de Paula Canuto; Márjory Cristiany Da Costa Abreu; Michael C. Fairhurst; Cheng Li; Diego Silveira Costa Nascimento (BRACIS, 2019)