Sérgio M. Dias
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Concept lattices reduction: Definition, analysis and classification
SM Dias, NJ Vieira
Expert Systems with Applications 42 (20), 7084-7097, 2015
Knowledge reduction in formal contexts using non-negative matrix factorization
AK Ch, SM Dias, NJ Vieira
Mathematics and Computers in Simulation 109, 46-63, 2015
Reducing the size of concept lattices: The JBOS Approach
SM Dias, NJ Vieira
Proc. CLA, 80-91, 2010
Applying the JBOS reduction method for relevant knowledge extraction
SM Dias, NJ Vieira
Expert Systems with Applications 40 (5), 1880-1887, 2013
FCANN: A new approach for extraction and representation of knowledge from ANN trained via formal concept analysis
LE Zárate, S Mariano Dias, MA Junho Song
Neurocomputing 71 (13-15), 2670-2684, 2008
Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method
LE Zárate, SM Dias
Engineering Applications of Artificial Intelligence 22 (4-5), 718-731, 2009
A methodology for analysis of concept lattice reduction
SM Dias, NJ Vieira
Information Sciences 396, 202-217, 2017
Attribute significance, consistency measure and attribute reduction in formal concept analysis
C Huang, J Li, SM Dias
Neural Network World 26 (6), 607, 2016
Parallelization of the next Closure algorithm for generating the minimum set of implication rules.
NRM de Moraes, SM Dias, HC Freitas, LE Zárate
Artif. Intell. Research 5 (2), 40-54, 2016
Canonical computational models based on formal concept analysis for social network analysis and representation
GJ Resende, NRM De Moraes, SM Dias, HTM Neto, LE Zárate
2015 IEEE International Conference on Web Services, 717-720, 2015
An approach to knowledge extraction from ANN through formal concept analysis-computational tool proposal: SOPHIANN
LE Zárate, M Song, A Alvarez, B Soares, B Nogueira, R Vimieiro, S Dias, ...
Industrial Electronics, 2006 IEEE International Symposium on 1, 43-48, 2006
Formal concept analysis applied to professional social networks analysis
PRC Silva, SM Dias, WC Brandao, MA Song, LE Zárate
International Conference on Enterprise Information Systems 2, 123-134, 2017
Extracting reducible knowledge from ANN with JBOS and FCANN approaches
SM Dias, LE Zárate, NJ Vieira
Expert Systems with Applications, 2012
Identification of substructures in complex networks using formal concept analysis
SM Neto, S Dias, R Missaoui, L Zárate, M Song
International Journal of Web Information Systems, 2018
Using implications from FCA to represent a two mode network data.
SM Neto, MAJ Song, LE Zarate, SM Dias
SEKE, 256-259, 2015
Using iceberg concept lattices and implications rules to extract knowledge from ANN
SM Dias, LE Zárate, NJ Vieira
Intelligent Automation & Soft Computing 19 (3), 361-372, 2013
Algoritmos para Geração de Reticulados Conceituais
SM Dias
federal university of minas gerais UFMG, 2010
An artificial neural network approach for mechanisms of call admission control in UMTS 3G networks
AI Ribeiro, F Duarte-Figueiredo, G Novy, C Storck, SM Dias, LE Zárate
2008 Eighth International Conference on Hybrid Intelligent Systems, 459-464, 2008
Implicpbdd: A new approach to extract proper implications set from high-dimension formal contexts using a binary decision diagram
PG Santos, PHB Ruas, JCV Neves, PR Silva, SM Dias, LE Zárate, ...
Information 9 (11), 266, 2018
An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram.
P Santos, JCV Neves, PRC Silva, SM Dias, LE Zárate, MAJ Song
ICEIS (1), 50-57, 2018
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