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ORCIDSérgio M. Dias
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Books and Theses
- 2016
[b1]Sérgio Mariano Dias:
Redução de reticulados conceituais. Federal University of Minas Gerais, Brazil, 2016
Journal Articles
- 2023
- [j14]Luiz Zárate, Marcos W. Rodrigues, Sérgio Mariano Dias, Cristiane Nobre, Mark A. J. Song:
SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining. Libr. Hi Tech 41(6): 1694-1724 (2023) - 2020
- [j13]Julio C. V. Neves
, Pedro Henrique Batista Ruas da Silveira, Rokia Missaoui, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
Exploring Different Paradigms to Extract Proper Implications From High Dimensional Formal Contexts. IEEE Access 8: 134161-134175 (2020) - [j12]Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song, Newton José Vieira, Ch. Aswani Kumar:
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice. Intell. Data Anal. 24(3): 643-663 (2020) - 2018
- [j11]Phillip Santos, Pedro Henrique Batista Ruas da Silveira, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
ImplicPBDD: A New Approach to Extract Proper Implications Set from High-Dimension Formal Contexts Using a Binary Decision Diagram †. Inf. 9(11): 266 (2018) - 2017
- [j10]Sérgio M. Dias, Newton José Vieira:
A methodology for analysis of concept lattice reduction. Inf. Sci. 396: 202-217 (2017) - 2016
- [j9]Nilander R. M. de Moraes, Sérgio M. Dias, Henrique C. Freitas, Luis E. Zárate:
Parallelization of the next Closure algorithm for generating the minimum set of implication rules. Artif. Intell. Res. 5(2): 40-54 (2016) - 2015
- [j8]Sérgio M. Dias, Newton José Vieira:
Concept lattices reduction: Definition, analysis and classification. Expert Syst. Appl. 42(20): 7084-7097 (2015) - [j7]Ch. Aswani Kumar, Sérgio M. Dias, Newton José Vieira:
Knowledge reduction in formal contexts using non-negative matrix factorization. Math. Comput. Simul. 109: 46-63 (2015) - 2013
- [j6]Sérgio M. Dias, Newton José Vieira:
Applying the JBOS reduction method for relevant knowledge extraction. Expert Syst. Appl. 40(5): 1880-1887 (2013) - [j5]Sérgio M. Dias, Luis E. Zárate, Newton José Vieira:
Extracting reducible knowledge from ANN with JBOS and FCANN approaches. Expert Syst. Appl. 40(8): 3087-3095 (2013) - [j4]Sérgio M. Dias, Luis E. Zárate, Newton José Vieira:
Using Iceberg Concept Lattices and Implications Rules to Extract Knowledge from Ann. Intell. Autom. Soft Comput. 19(3): 361-372 (2013) - 2011
- [j3]Sérgio Mariano Dias, Newton José Vieria:
Um Arcabouço para Desenvolvimento de Algoritmos da Análise Formal de Conceitos. RITA 18(1): 31-57 (2011) - 2009
- [j2]Luis E. Zárate, Sérgio M. Dias:
Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method. Eng. Appl. Artif. Intell. 22(4-5): 718-731 (2009) - 2008
- [j1]Luis E. Zárate, Sérgio Mariano Dias, Mark Alan Junho Song:
FCANN: A new approach for extraction and representation of knowledge from ANN trained via Formal Concept Analysis. Neurocomputing 71(13-15): 2670-2684 (2008)
Conference and Workshop Papers
- 2018
- [c12]Phillip Santos, Julio C. V. Neves, Paula R. C. Silva, Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song:
An Approach to Extract Proper Implications Set from High-dimension Formal Contexts using Binary Decision Diagram. ICEIS (1) 2018: 50-57 - 2017
- [c11]Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis E. Zárate:
Professional Competence Identification Through Formal Concept Analysis. ICEIS (Revised Selected Papers) 2017: 34-56 - [c10]Paula R. C. Silva, Sérgio M. Dias, Wladmir C. Brandão, Mark A. J. Song, Luis E. Zárate:
Formal Concept Analysis Applied to Professional Social Networks Analysis. ICEIS (1) 2017: 123-134 - [c9]Leandro M. Ferreira, Cristiano Lacerda Nunes Pinto, Sérgio M. Dias, Cristiane Neri Nobre, Luis E. Zárate:
Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis. ICEIS (1) 2017: 265-271 - 2015
- [c8]Gustavo Jota Resende, Nilander R. M. de Moraes, Sérgio M. Dias, Humberto T. Marques-Neto, Luis E. Zárate:
Canonical Computational Models Based on Formal Concept Analysis for Social Network Analysis and Representation. ICWS 2015: 717-720 - [c7]Sebastião M. Neto, Mark A. J. Song, Luis E. Zárate, Sérgio M. Dias:
Using implications from FCA to represent a two mode network data. SEKE 2015: 256-259 - [c6]Sebastião M. Neto, Luis E. Zárate, Mark A. J. Song, Sérgio M. Dias:
Minimal Cover of Implication Rules to Represent Two Mode Networks. WI-IAT (1) 2015: 211-218 - 2010
- [c5]Sérgio M. Dias, Newton Vieira:
Reducing the Size of Concept Lattices: The JBOS Approach. CLA 2010: 80-91 - 2008
- [c4]Anna Izabel T. Ribeiro, Fátima de L. P. Duarte-Figueiredo, Gabriel Novy, Carlos R. Storck, Sérgio M. Dias, Luis E. Zárate:
An Artificial Neural Network Approach for Mechanisms of Call Admission Control in UMTS 3G Networks. HIS 2008: 459-464 - 2007
- [c3]Luis E. Zárate, Sérgio M. Dias, Mark A. J. Song:
FCANN Method Applications for Knowledge Extraction From Previously Trained ANN. IJCNN 2007: 649-654 - 2006
- [c2]Diogo Vargas Tito, Fernanda de Castro Muniz Netto, Luiz Guilherme Hilel Drumond, Rochester Leon Diniz Parreiras, Sérgio Mariano Dias, Cristiane Neri Nobre:
Avaliação da usabilidade do JEMS - Journal and Event Management System - através de avaliação heurística, ensaios de interação e questionários de satisfação. IHC 2006: 67 - [c1]Mark A. J. Song, Luis E. Zárate, Sérgio M. Dias, Ana Alvarez, Bruno Soares, Bruno M. Nogueira, Renato Vimieiro, Tadeu R. A. Santos, Newton Vieira:
SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained A Case Study. SEKE 2006: 631-638
Coauthor Index
aka: Mark Alan Junho Song
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