Silvia M. Nassar

According to our database, Silvia M. Nassar authored at least 32 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Low-Dimensional Space Modeling-Based Differential Evolution for Large-Scale Global Optimization Problems.

Thiago Henrique Lemos Fonseca, Silvia Modesto Nassar, Alexandre César Muniz de Oliveira, Bruno Agard

IEEE Trans. Evol. Comput., October, 2023

A Sensor Ranking Approach for Edge-Fog-Cloud Environments.

Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas

SN Comput. Sci., July, 2023

Low-Dimensional Space Modeling-Based Differential Evolution: A Scalability Perspective on bbob-largescale suite.

Thiago Henrique Lemos Fonseca, Silvia Modesto Nassar, Alexandre César Muniz de Oliveira, Bruno Agard

Proceedings of the Advances in Computational Intelligence, 2023

2022

FOCUSeR: A Fog Online Context-Aware Up-to-Date Sensor Ranking Method.

Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas

J. Sens. Actuator Networks, 2022

2021

GoAT: A Sensor Ranking Approach for IoT Environments.

Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas

Proceedings of the 11th International Conference on Cloud Computing and Services Science, 2021

2020

FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration.

Felipe Schneider Costa, Silvia M. Nassar, Sergio Gusmeroli, Ralph Schultz, André Gustavo Scolari Conceição, Miguel Xavier, Fabiano Hessel, Mario A. R. Dantas

Sensors, 2020

MSC+: Language pattern learning for word sense induction and disambiguation.

Fábio Bif Goularte, Danielly Sorato, Silvia Modesto Nassar, Renato Fileto, Horacio Saggion

Knowl. Based Syst., 2020

2019

A text summarization method based on fuzzy rules and applicable to automated assessment.

Fábio Bif Goularte, Silvia Modesto Nassar, Renato Fileto, Horacio Saggion

Expert Syst. Appl., 2019

A three level sensor ranking method based on active perception.

Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas

Proceedings of the IECON 2019, 2019

2018

Impact of an Extra Layer on the Stacking Algorithm for Classification Problems.

Rodolfo Lorbieski, Silvia Modesto Nassar

J. Comput. Sci., 2018

MCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure Learning.

Ademar Crotti Junior, Beatriz Wilges, Silvia Modesto Nassar

J. Comput. Sci., 2018

2017

Frame management in wireless networks.

Gustavo Pereira Mateus, Beatriz Wilges, Mário Antônio Ribeiro Dantas, Silvia Modesto Nassar

Proceedings of the Fourteenth International Conference on Wireless and Optical Communications Networks, 2017

2016

Fuzzy Modeling for Multi-Label Text Classification Supported by Classification Algorithms.

Beatriz Wilges, Gustavo Pereira Mateus, Silvia M. Nassar, Renato Cislaghi, Rogério Cid Bastos

J. Comput. Sci., 2016

Análise de Métodos e Ferramentas para Reconhecimento de Palavras Relevantes em Microblogs [Analysis of Methods and Tools for Relevant Words Recognition in Microblogs].

Danielly Sorato, Fábio Bif Goularte, Silvia M. Nassar, Renato Fileto

Proceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era, 2016

Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data.

Andréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas Filho

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2016, 2016

2015

Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions.

Andréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas Filho

J. Comput. Sci., 2015

Simulation of oil drilling time series using monte carlo and bayesian networks.

Mariana Dehon Costa e Lima, Silvia Modesto Nassar, Paulo José de Freitas Filho

Proceedings of the 2015 Winter Simulation Conference, 2015

A Fuzzy Controller to Optimize a Wireless Network Environment.

Gustavo Pereira Mateus, Beatriz Wilges, Mário Antônio Ribeiro Dantas, Silvia Modesto Nassar

Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, 2015

2014

Heuristic discretization method for Bayesian Networks.

Mariana D. C. Lima, Silvia M. Nassar, Pedro Ivo R. B. G. Rodrigues, Paulo José de Freitas Filho, Carlos M. C. Jacinto

J. Comput. Sci., 2014

2013

Analysis of Bayesian Classifier accuracy.

Felipe Schneider Costa, Maria Marlene de Souza Pires, Silvia Modesto Nassar

J. Comput. Sci., 2013

2012

Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction.

Cesar A. Penz, Carlos Alberto Flesch, Silvia M. Nassar, Rodolfo César Costa Flesch, Marco Aurélio de Oliveira

Expert Syst. Appl., 2012

2009

A Belief Desire Intention Multi Agent System in a Virtual Learning Environment.

Gustavo Pereira Mateus, Beatriz Wilges, Luiz Claudio Duarte Dalmolin, Silvia M. Nassar, Ricardo Azambuja Silveira

Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

A Concept Map Extractor Tool for Teaching and Learning.

Luiz Claudio Duarte Dalmolin, Silvia Modesto Nassar, Rogério Cid Bastos, Gustavo Pereira Mateus

Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

2007

An Animated Pedagogical Agent as a Learning Management System manipulating Intelligent Learning Objects.

Beatriz Wilges, Gustavo Pereira Mateus, Ricardo Azambuja Silveira, Silvia M. Nassar

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

2006

Risk analysis using Monte Carlo simulation and Bayesian networks.

Cláudio Flores, Fernando Makiyama, Silvia Nassar, Paulo José de Freitas Filho, Carlos M. C. Jacinto

Proceedings of the Winter Simulation Conference WSC 2006, 2006

A Model of a Multi-Agent Web System for Integration in Expert Systems.

Michel Barnad Geszychter, Beatriz Wilges, Silvia M. Nassar, Fernando Gauthier

Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005

Recognition of continuous probability models.

Marcelo Tenório, Silvia Nassar, Paulo José de Freitas Filho, Carlos Magno

Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

Neuro-Fuzzy Systems: Learning Models.

Lucimar F. de Carvalho, L. L. Monteiro, Silvia M. Nassar, Fernando Mendes de Azevedo, Hugo J. T. de Carvalho

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2002

Medical Data Base Exploration through Artificial Neural Networks.

Lucimar F. de Carvalho, Candice Abella S. Dani, Hugo J. T. de Carvalho, Diego Dozza, Silvia M. Nassar, Fernando Mendes de Azevedo

Proceedings of the ICEIS 2002, 2002

Medical data Base Exploration Through Artificial Neural Networks.

Lucimar F. de Carvalho, Candice Abella S. Dani, Hugo J. T. de Carvalho, Diego Dozza, Ana Luisa C. Brasil, Silvia M. Nassar, Fernando Mendes de Azevedo

Proceedings of the International Conference on Artificial Intelligence, 2002

2001

Quantification of the Emotional Quotient of the Intelligence using the Classic and Fuzzy Logic.

Lucimar F. de Carvalho, Roberto Rabello, Rosane R. de Morais, Silvia M. Nassar, Christiane Koehler

Proceedings of the ICEIS 2001, 2001

2000

Concurrent Validation in the Treatment of Uncertainty in a Expert System.

Lucimar F. de Carvalho, Fernando Mendes de Azevedo, Silvia M. Nassar, Christiane Koehler, Hugo J. T. de Carvalho, Charles T. Batezini, Fernanda Ramos

Proceedings of the ICEIS 2000, 2000