Sérgio M. Dias

发表

Avaliação da usabilidade do JEMS - Journal and Event Management System - através de avaliação heurística, ensaios de interação e questionários de satisfação

Diogo Vargas Tito, Fernanda de Castro Muniz Netto, Luiz Guilherme Hilel Drumond, 2006, IHC '06.

ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram †

Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song, 2018, Inf..

FCANN Method Applications for Knowledge Extraction From Previously Trained ANN

Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song, 2007, 2007 International Joint Conference on Neural Networks.

Knowledge reduction in formal contexts using non-negative matrix factorization

Sérgio M. Dias, Cherukuri Aswani Kumar, Newton José Vieira, 2015, Math. Comput. Simul..

Extraction of qualitative behavior rules for industrial processes from reduced concept lattice

Luis E. Zárate, Sérgio M. Dias, Cherukuri Aswani Kumar, 2020, Intell. Data Anal..

Concept lattices reduction: Definition, analysis and classification

Sérgio M. Dias, Newton José Vieira, S. Dias, 2015, Expert Syst. Appl..

Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method

Luis E. Zárate, Sérgio M. Dias, S. Dias, 2009, Eng. Appl. Artif. Intell..

Using implications from FCA to represent a two mode network data

Sérgio M. Dias, Mark A. J. Song, Sebastião M. Neto, 2015, SEKE.

Reducing the Size of Concept Lattices: The JBOS Approach

Sérgio M. Dias, Newton José Vieira, 2010, CLA.

Minimal Cover of Implication Rules to Represent Two Mode Networks

Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study

Luis E. Zárate, Sérgio M. Dias, Bruno M. Nogueira, 2006, SEKE.

FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis

Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song, 2008, Neurocomputing.

An Artificial Neural Network Approach for Mechanisms of Call Admission Control in UMTS 3G Networks

Luis E. Zárate, Sérgio M. Dias, Carlos R. Storck, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Applying the JBOS reduction method for relevant knowledge extraction

Sérgio M. Dias, Newton José Vieira, S. Dias, 2013, Expert Syst. Appl..

An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram

Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song, 2018, ICEIS.

A methodology for analysis of concept lattice reduction

Sérgio M. Dias, Newton José Vieira, S. Dias, 2017, Inf. Sci..

Um Arcabouço para Desenvolvimento de Algoritmos da Análise Formal de Conceitos

Sérgio M. Dias, Newton José Vieria, 2011, RITA.

Canonical Computational Models Based on Formal Concept Analysis for Social Network Analysis and Representation

Luis E. Zárate, Sérgio M. Dias, Humberto Torres Marques-Neto, 2015, 2015 IEEE International Conference on Web Services.

Extracting reducible knowledge from ANN with JBOS and FCANN approaches

Luis E. Zárate, Sérgio M. Dias, Newton José Vieira, 2013, Expert Syst. Appl..

Using Iceberg Concept Lattices and Implications Rules to Extract Knowledge from Ann

Luis E. Zárate, Sérgio M. Dias, Newton José Vieira, 2013, Intell. Autom. Soft Comput..

Professional Competence Identification Through Formal Concept Analysis

Wladmir Cardoso Brandão, Wladmir Cardoso Brandão, Luis E. Zárate, 2017, ICEIS.

Parallelization of the next Closure algorithm for generating the minimum set of implication rules

Henrique C. Freitas, Luis E. Zárate, Sérgio M. Dias, 2016, Artif. Intell. Res..

Formal Concept Analysis Applied to Professional Social Networks Analysis

Wladmir Cardoso Brandão, Wladmir Cardoso Brandão, Luis E. Zárate, 2017, ICEIS.

Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis

Luis E. Zárate, Sérgio M. Dias, Cristiane Neri Nobre, 2017, ICEIS.