Heloisa de Arruda Camargo

45 papers B 12C 9Misc 3Journal 5Unranked 15
YearRankTypeTitle / Venue / Authors
2021 B conf
A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency.
FUZZ-IEEE
André Luis Cristiani, Heloisa de Arruda Camargo
2021 — conf
A Modified NSGA-DO for Solving Multiobjective Optimization Problems.
BRACIS (1)
Jussara Gomes Machado, Matheus Giovanni Pires, Fabiana Cristina Bertoni, Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo
2020 — conf
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency.
BRACIS (2)
Andre Luis Cristiani, Tiago Pinho da Silva, Heloisa de Arruda Camargo
2020 B conf
Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach.
FUZZ-IEEE
Edward Hinojosa Cárdenas, Edgar Sarmiento-Calisaya, Heloisa de Arruda Camargo
2020 B conf
Possibilistic Approach For Novelty Detection In Data Streams.
FUZZ-IEEE
Tiago Pinho da Silva, Heloisa de Arruda Camargo
2020 J jnl
Preface.
Nat. Comput.
Aurora T. R. Pozo, Heloisa de Arruda Camargo
2018 C conf
A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels.
CIARP
Tiago Pinho da Silva, Vinícius Mourão Alves de Souza, Gustavo Enrique De Almeida Prado Alves Batista, Heloisa de Arruda Camargo
2018 B conf
A Fuzzy Multiclass Novelty Detector for Data Streams.
FUZZ-IEEE
Tiago Pinho da Silva, Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo
2018 — conf
Annotation of a Corpus of Tweets for Sentiment Analysis.
PROPOR
Allisfrank dos Santos, Jorge Daniel Barros Júnior, Heloisa de Arruda Camargo
2018 B conf
d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering.
FUZZ-IEEE
Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo
2017 — conf
A Fuzzy Variant for On-Demand Data Stream Classification.
BRACIS
Tiago Pinho da Silva, Gerson Antonio Urban, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo
2017 B conf
FuzzStream: Fuzzy data stream clustering based on the online-offline framework.
FUZZ-IEEE
Priscilla de Abreu Lopes, Heloisa de Arruda Camargo
2015 — conf
A hybrid forecast model combining fuzzy time series, linear regression and a new smoothing technique.
IFSA-EUSFLAT
Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo
2015 B conf
NSGA-DO: Non-Dominated Sorting Genetic Algorithm Distance Oriented.
FUZZ-IEEE
Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo
2015 J jnl
Progress in intelligent systems.
Neurocomputing
Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir
2014 — conf
A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge.
BRACIS
Helano Povoas de Lima, Heloisa de Arruda Camargo
2014 — conf
Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing.
IBERAMIA
Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo
2013 — ch.
On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches.
Soft Computing: State of the Art Theory and Novel Applications
Marcos E. Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2013 — conf
Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy.
ICMLA (2)
Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo
2012 Misc conf
Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules.
IRI
Priscilla de Abreu Lopes, Heloisa de Arruda Camargo
2012 B conf
Using fuzzy formal concepts in the genetic generation of fuzzy systems.
FUZZ-IEEE
Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2011 C conf
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
HIS
Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo
2010 — conf
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms.
SBRN
Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo
2010 B conf
Decision support systems in multicriteria groups: An approach based on fuzzy rules.
FUZZ-IEEE
Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo
2010 — conf
Feature Subset Selection for Fuzzy Classification Methods.
IPMU (1)
Marcos Evandro Cintra, Heloisa de Arruda Camargo
2010 J jnl
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling.
Int. J. Hybrid Intell. Syst.
Tatiane Marques Nogueira, Heloisa de Arruda Camargo
2010 — conf
Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach.
SBRN
Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo
2010 C conf
Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set.
ICMLA
I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo
2009 — conf
Optimising the Fuzzy Granulation of Attribute Domains.
IFSA/EUSFLAT Conf.
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Trevor Martin
2009 C conf
The Impact of Pruning BayesFuzzy Rule Set.
ISDA
I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo
2008 J jnl
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. Univers. Comput. Sci.
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2008 C conf
Context-Sensitive Clustering in the Design of Fuzzy Models.
HIS
Tatiane Marques Nogueira, Heloisa de Arruda Camargo
2008 C conf
Fuzzy Feature Subset Selection Using the Wang & Mendel Method.
HIS
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard
2007 B conf
BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base.
FUZZ-IEEE
Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti
2007 C conf
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
ISDA
Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti
2007 Misc conf
Fuzzy Rules Generation using Genetic Algorithms with Self-adaptive Selection.
IRI
Marcos Evandro Cintra, Heloisa de Arruda Camargo
2006 C conf
Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems.
HIS
Anderson Francisco Talon, Heloisa de Arruda Camargo
2004 — conf
A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules.
SBIA
Pablo Alberto Dalbem de Castro, Heloisa de Arruda Camargo
2004 Misc conf
Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System.
IRI
Matheus Giovanni Pires, Heloisa de Arruda Camargo
2004 — conf
Genetic learning of fuzzy rules applied to sequencing problem of FMS.
SMC (5)
Pablo Alberto Dalbem de Castro, Matheus Giovanni Pires, Heloisa de Arruda Camargo, Orides Morandin Jr., Edilson R. R. Kato
2004 C conf
Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection.
HIS
Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti
2003 B conf
A real time production sequencing rule for machines of a FMS using fuzzy logic.
SMC
Matheus Giovanni Pires, Pablo Alberto Dalbem de Castro, Orides Morandin Jr., Heloisa de Arruda Camargo, Edilson R. R. Kato
2003 J jnl
Fuzzy timed Petri nets.
Fuzzy Sets Syst.
Witold Pedrycz, Heloisa de Arruda Camargo
2001 B conf
A control design approach for complex automatic manufacturing systems.
SMC
Edilson Reis Rodrigues Kato, Orides Morandin Jr., Paulo R. Politano, Heloisa de Arruda Camargo
2000 — conf
Sistema Neuro-Fuzzy para Aquisição de Conhecimento (NeuroFAC).
IBERAMIA-SBIA 2000 Open Discussion Track
José Augusto Fabri, Heloisa de Arruda Camargo