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Silvia M. Nassar
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2020 – today
- 2023
- [j13]Felipe Schneider Costa
, Silvia M. Nassar, Mario A. R. Dantas:
A Sensor Ranking Approach for Edge-Fog-Cloud Environments. SN Comput. Sci. 4(4): 392 (2023) - [j12]Thiago Henrique Lemos Fonseca
Low-Dimensional Space Modeling-Based Differential Evolution for Large-Scale Global Optimization Problems. IEEE Trans. Evol. Comput. 27(5): 1529-1543 (2023) - [c19]Thiago Henrique Lemos Fonseca, Silvia Modesto Nassar, Alexandre César Muniz de Oliveira, Bruno Agard:
Low-Dimensional Space Modeling-Based Differential Evolution: A Scalability Perspective on bbob-largescale suite. IWANN (1) 2023: 16-28 - 2022
- [j11]Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas
FOCUSeR: A Fog Online Context-Aware Up-to-Date Sensor Ranking Method. J. Sens. Actuator Networks 11(2): 25 (2022) - 2021
- [c18]Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas:
GoAT: A Sensor Ranking Approach for IoT Environments. CLOSER 2021: 169-177 - 2020
- [j10]Fábio Bif Goularte
MSC+: Language pattern learning for word sense induction and disambiguation. Knowl. Based Syst. 188 (2020) - [j9]Felipe Schneider Costa
FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration. Sensors 20(19): 5499 (2020)
2010 – 2019
- 2019
- [j8]Fábio Bif Goularte
A text summarization method based on fuzzy rules and applicable to automated assessment. Expert Syst. Appl. 115: 264-275 (2019) - [c17]Felipe Schneider Costa, Silvia M. Nassar, Mario A. R. Dantas:
A three level sensor ranking method based on active perception. IECON 2019: 2889-2895 - 2018
- [j7]Rodolfo Lorbieski
Impact of an Extra Layer on the Stacking Algorithm for Classification Problems. J. Comput. Sci. 14(5): 613-622 (2018) - [j6]Ademar Crotti Junior
MCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure Learning. J. Comput. Sci. 14(8): 1115-1125 (2018) - 2017
- [c16]Gustavo Pereira Mateus, Beatriz Wilges, Mário Antônio Ribeiro Dantas
Frame management in wireless networks. WOCN 2017: 1-6 - 2016
- [j5]Beatriz Wilges, Gustavo Pereira Mateus, Silvia M. Nassar, Renato Cislaghi, Rogério Cid Bastos:
Fuzzy Modeling for Multi-Label Text Classification Supported by Classification Algorithms. J. Comput. Sci. 12(7): 341-349 (2016) - [c15]Andréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas Filho:
Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data. IBERAMIA 2016: 353-364 - [c14]Danielly Sorato, Fábio Bif Goularte, Silvia M. Nassar, Renato Fileto:
Análise de Métodos e Ferramentas para Reconhecimento de Palavras Relevantes em Microblogs [Analysis of Methods and Tools for Relevant Words Recognition in Microblogs]. SBSI 2016: 345-352 - 2015
- [j4]Andréia Alves dos Santos Schwaab, Silvia Modesto Nassar, Paulo José de Freitas Filho:
Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions. J. Comput. Sci. 11(9): 976-987 (2015) - [c13]Gustavo Pereira Mateus, Beatriz Wilges, Mário Antônio Ribeiro Dantas
A Fuzzy Controller to Optimize a Wireless Network Environment. NCA 2015: 243-246 - [c12]Mariana Dehon Costa e Lima, Silvia Modesto Nassar, Paulo José de Freitas Filho:
Simulation of oil drilling time series using monte carlo and bayesian networks. WSC 2015: 1195-1205 - 2014
- [j3]Mariana D. C. Lima, Silvia M. Nassar, Pedro Ivo R. B. G. Rodrigues, Paulo José de Freitas Filho, Carlos M. C. Jacinto:
Heuristic discretization method for Bayesian Networks. J. Comput. Sci. 10(5): 869-878 (2014) - 2013
- [j2]Felipe Schneider Costa, Maria Marlene de Souza Pires, Silvia Modesto Nassar:
Analysis of Bayesian Classifier accuracy. J. Comput. Sci. 9(11): 1487-1495 (2013) - 2012
- [j1]Cesar A. Penz
Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction. Expert Syst. Appl. 39(4): 4268-4273 (2012)
2000 – 2009
- 2009
- [c11]Gustavo Pereira Mateus, Beatriz Wilges, Luiz Claudio Duarte Dalmolin, Silvia M. Nassar, Ricardo Azambuja Silveira:
A Belief Desire Intention Multi Agent System in a Virtual Learning Environment. ICALT 2009: 13-14 - [c10]Luiz Claudio Duarte Dalmolin, Silvia Modesto Nassar, Rogério Cid Bastos, Gustavo Pereira Mateus:
A Concept Map Extractor Tool for Teaching and Learning. ICALT 2009: 18-20 - 2007
- [c9]Beatriz Wilges, Gustavo Pereira Mateus, Ricardo Azambuja Silveira, Silvia M. Nassar:
An Animated Pedagogical Agent as a Learning Management System manipulating Intelligent Learning Objects. ICALT 2007: 186-188 - 2006
- [c8]Michel Barnad Geszychter, Beatriz Wilges, Silvia M. Nassar, Fernando Gauthier:
A Model of a Multi-Agent Web System for Integration in Expert Systems. CIMCA/IAWTIC 2006: 90 - [c7]Cláudio Flores, Fernando Makiyama, Silvia Nassar, Paulo José de Freitas Filho, Carlos M. C. Jacinto:
Risk analysis using Monte Carlo simulation and Bayesian networks. WSC 2006: 2292 - 2005
- [c6]Lucimar F. de Carvalho, L. L. Monteiro, Silvia M. Nassar, Fernando Mendes de Azevedo, Hugo J. T. de Carvalho:
Neuro-Fuzzy Systems: Learning Models. CIMCA/IAWTIC 2005: 1122-1126 - [c5]Marcelo Tenório, Silvia Nassar, Paulo José de Freitas Filho, Carlos Magno:
Recognition of continuous probability models. WSC 2005: 2524-2531 - 2002
- [c4]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:
Medical data Base Exploration Through Artificial Neural Networks. IC-AI 2002: 209-218 - [c3]Lucimar F. de Carvalho, Candice Abella S. Dani, Hugo J. T. de Carvalho, Diego Dozza, Silvia M. Nassar, Fernando Mendes de Azevedo:
Medical Data Base Exploration through Artificial Neural Networks. ICEIS 2002: 455-459 - 2001
- [c2]Lucimar F. de Carvalho, Roberto Rabello, Rosane R. de Morais, Silvia M. Nassar, Christiane Koehler:
Quantification of the Emotional Quotient of the Intelligence using the Classic and Fuzzy Logic. ICEIS (1) 2001: 361-365 - 2000
- [c1]Lucimar F. de Carvalho, Fernando Mendes de Azevedo, Silvia M. Nassar, Christiane Koehler, Hugo J. T. de Carvalho, Charles T. Batezini, Fernanda Ramos:
Concurrent Validation in the Treatment of Uncertainty in a Expert System. ICEIS 2000: 102-107
Coauthor Index
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