Newton José Vieira - researchr alias

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Viewing Publication 1 - 11 from 11

2020

Extraction of qualitative behavior rules for industrial processes from reduced concept latticeSérgio M. Dias, Luis E. Zárate, Mark A. J. Song, Newton José Vieira, Ch. Aswani Kumar. ida, 24(3):643-663, 2020. [doi]

2017

A methodology for analysis of concept lattice reductionSérgio M. Dias, Newton José Vieira. isci, 396:202-217, 2017. [doi]

2015

Knowledge reduction in formal contexts using non-negative matrix factorizationAswani Kumar Ch., Sergio M. Dias, Newton José Vieira. mcs, 109:46-63, 2015. [doi]

Concept lattices reduction: Definition, analysis and classificationSérgio M. Dias, Newton José Vieira. eswa, 42(20):7084-7097, 2015. [doi]

2013

Applying the JBOS reduction method for relevant knowledge extractionSergio M. Dias, Newton José Vieira. eswa, 40(5):1880-1887, 2013. [doi]

Extracting reducible knowledge from ANN with JBOS and FCANN approachesSergio M. Dias, Luis E. Zárate, Newton José Vieira. eswa, 40(8):3087-3095, 2013. [doi]

Using Iceberg Concept Lattices and Implications Rules to Extract Knowledge from AnnSérgio M. Dias, Luis E. Zárate, Newton José Vieira. iasc, 19(3):361-372, 2013. [doi]

2010

Extracting Case-based Answers from Closed Proof-treesIsabel Gomes Barbosa, Newton José Vieira. icaart 2010: 377-384

2007

A Classification Algorithm based on Concept SimilarityJoão Paulo Domingos-Silva, Newton José Vieira. sgai 2008: 281-291 [doi]

2004

Language emulator, a helpful toolkit in the learning process of computer theoryLuiz Filipe M. Vieira, Marcos Augusto M. Vieira, Newton José Vieira. sigcse 2004: 135-139 [doi]

1995

Recuperando Caminhos no esquema algorítmico Union-FindNewton José Vieira. rita, 2(2):37-53, 1995.

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