Improvements on least squares twin multi-class classification support vector machine. - Márcio Dias de Lima; Nattane Luiza da Costa; Rommel M. Barbosa (Neurocomputing, 2018)

Mínimos quadrados para problemas de múltiplas classes envolvendo twin support vector machine e aplicações de mineração de dados - Márcio Dias de Lima (2018)

A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities. - Diego de Castro Rodrigues; Márcio Dias de Lima; Marcos Dias da Conceição; Vilson Soares de Siqueira; Rommel M. Barbosa (EPIA (1), 2019)

Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine. - Márcio Dias de Lima; Juliana de Oliveira Roque e Lima; Rommel M. Barbosa (Medical Biol. Eng. Comput., 2020)

Discovering Associative Patterns in Healthcare Data. - Diego de Castro Rodrigues; Vilson Soares de Siqueira; Fabiano Tavares; Márcio Dias de Lima; Frederico Santos de Oliveira; Lucas Prado Osco; Wilmar Junior; Ronaldo Martins da Costa; Rommel M. Barbosa (ICICT (1), 2021)

Evaluation of feature selection methods based on artificial neural network weights. - Nattane Luiza da Costa; Márcio Dias de Lima; Rommel M. Barbosa (Expert Syst. Appl., 2021)

Analysis and improvements on feature selection methods based on artificial neural network weights. - Nattane Luiza da Costa; Márcio Dias de Lima; Rommel M. Barbosa (Appl. Soft Comput., 2022)