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Márcio Dias de Lima
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2020 – today
- 2022
- [j4]Nattane Luiza da Costa, Márcio Dias de Lima, Rommel M. Barbosa:
Analysis and improvements on feature selection methods based on artificial neural network weights. Appl. Soft Comput. 127: 109395 (2022) - 2021
- [j3]Nattane Luiza da Costa, Márcio Dias de Lima, Rommel M. Barbosa:
Evaluation of feature selection methods based on artificial neural network weights. Expert Syst. Appl. 168: 114312 (2021) - [c2]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:
Discovering Associative Patterns in Healthcare Data. ICICT (1) 2021: 371-379 - 2020
- [j2]Márcio Dias de Lima, Juliana de Oliveira Roque e Lima, Rommel M. Barbosa:
Medical data set classification using a new feature selection algorithm combined with twin-bounded support vector machine. Medical Biol. Eng. Comput. 58(3): 519-528 (2020)
2010 – 2019
- 2019
- [c1]Diego de Castro Rodrigues, Márcio Dias de Lima, Marcos Dias da Conceição, Vilson Soares de Siqueira, Rommel M. Barbosa:
A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities. EPIA (1) 2019: 3-14 - 2018
- [j1]Márcio Dias de Lima, Nattane Luiza da Costa, Rommel M. Barbosa:
Improvements on least squares twin multi-class classification support vector machine. Neurocomputing 313: 196-205 (2018)
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