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 (ICEIS, 2000)

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 (ICEIS (1), 2001)

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 (IC-AI, 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 (ICEIS, 2002)

Neuro-Fuzzy Systems: Learning Models. - Lucimar F. de Carvalho; L. L. Monteiro; Silvia M. Nassar; Fernando Mendes de Azevedo; Hugo J. T. de Carvalho (CIMCA/IAWTIC, 2005)

Recognition of continuous probability models. - Marcelo Tenório; Silvia Nassar; Paulo José de Freitas Filho; Carlos Magno (WSC, 2005)

A Model of a Multi-Agent Web System for Integration in Expert Systems. - Michel Barnad Geszychter; Beatriz Wilges; Silvia M. Nassar; Fernando Gauthier (CIMCA/IAWTIC, 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 (WSC, 2006)

An Animated Pedagogical Agent as a Learning Management System manipulating Intelligent Learning Objects. - Beatriz Wilges; Gustavo Pereira Mateus; Ricardo Azambuja Silveira; Silvia M. Nassar (ICALT, 2007)

A Concept Map Extractor Tool for Teaching and Learning. - Luiz Claudio Duarte Dalmolin; Silvia Modesto Nassar; Rogério Cid Bastos; Gustavo Pereira Mateus (ICALT, 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 (ICALT, 2009)

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)

Analysis of Bayesian Classifier accuracy. - Felipe Schneider Costa; Maria Marlene de Souza Pires; Silvia Modesto Nassar (J. Comput. Sci., 2013)

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)

A Fuzzy Controller to Optimize a Wireless Network Environment. - Gustavo Pereira Mateus; Beatriz Wilges; Mário Antônio Ribeiro Dantas; Silvia Modesto Nassar (NCA, 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 (WSC, 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)

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 (IBERAMIA, 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 (SBSI, 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)

Frame management in wireless networks. - Gustavo Pereira Mateus; Beatriz Wilges; Mário Antônio Ribeiro Dantas; Silvia Modesto Nassar (WOCN, 2017)

MCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure Learning. - Ademar Crotti Junior; Beatriz Wilges; Silvia Modesto Nassar (J. Comput. Sci., 2018)

Impact of an Extra Layer on the Stacking Algorithm for Classification Problems. - Rodolfo Lorbieski; Silvia Modesto Nassar (J. Comput. Sci., 2018)

A three level sensor ranking method based on active perception. - Felipe Schneider Costa; Silvia M. Nassar; Mario A. R. Dantas (IECON, 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)

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)

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)

GoAT: A Sensor Ranking Approach for IoT Environments. - Felipe Schneider Costa; Silvia M. Nassar; Mario A. R. Dantas (CLOSER, 2021)

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)

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 (IWANN (1), 2023)

A Sensor Ranking Approach for Edge-Fog-Cloud Environments. - Felipe Schneider Costa; Silvia M. Nassar; Mario A. R. Dantas (SN Comput. Sci., 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., 2023)