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ORCIDHeloisa A. Camargo
Heloisa de Arruda Camargo
Person information
- affiliation: Federal University of São Carlos, Department of Computing, Brazil
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Journal Articles
- 2020
[j11]Aurora T. R. Pozo
, Heloisa de Arruda Camargo:
Preface. Nat. Comput. 19(3): 477-479 (2020)- 2018
- [j10]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task. Soft Comput. 22(15): 5021-5031 (2018) - 2016
- [j9]Marcos E. Cintra, Heloisa A. Camargo, Maria Carolina Monard:
Genetic generation of fuzzy systems with rule extraction using formal concept analysis. Inf. Sci. 349-350: 199-215 (2016) - 2015
- [j8]Aurora T. R. Pozo, Heloisa de Arruda Camargo, Teresa Bernarda Ludermir:
Progress in intelligent systems. Neurocomputing 163: 76-77 (2015) - 2013
- [j7]Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben:
Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases. Int. J. Hybrid Intell. Syst. 10(2): 43-55 (2013) - 2010
- [j6]Fabio J. J. Santos, Heloisa A. Camargo:
Fuzzy Systems for Multicriteria Decision Making. CLEI Electron. J. 13(3) (2010) - [j5]Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo:
Data base definition and feature selection for the genetic generation of fuzzy rule bases. Evol. Syst. 1(4): 241-252 (2010) - [j4]Tatiane Marques Nogueira, Heloisa de Arruda Camargo:
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling. Int. J. Hybrid Intell. Syst. 7(1): 33-43 (2010) - 2008
- [j3]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. J. Univers. Comput. Sci. 14(15): 2456-2470 (2008) - 2003
- [j2]Witold Pedrycz, Heloisa de Arruda Camargo:
Fuzzy timed Petri nets. Fuzzy Sets Syst. 140(2): 301-330 (2003) - 1999
- [j1]Heloisa A. Camargo, Fernando A. C. Gomide:
Hierarchical fuzzy Petri nets and α-level sets inference. Int. J. Intell. Syst. 14(8): 859-871 (1999)
Conference and Workshop Papers
- 2021
- [c73]Jussara Gomes Machado, Matheus Giovanni Pires, Fabiana Cristina Bertoni, Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo:
A Modified NSGA-DO for Solving Multiobjective Optimization Problems. BRACIS (1) 2021: 126-139 - [c72]André Luis Cristiani, Heloisa de Arruda Camargo:
A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency. FUZZ-IEEE 2021: 1-6 - [c71]Edward Hinojosa Cárdenas, Edgar Sarmiento-Calisaya, Heloisa A. Camargo, José Antonio Sanz:
Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function. WILF 2021 - 2020
- [c70]Andre Luis Cristiani, Tiago Pinho da Silva, Heloisa de Arruda Camargo:
A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency. BRACIS (2) 2020: 171-186 - [c69]Edward Hinojosa Cárdenas, Edgar Sarmiento-Calisaya, Heloisa de Arruda Camargo:
Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach. FUZZ-IEEE 2020: 1-8 - [c68]Tiago Pinho da Silva, Heloisa de Arruda Camargo:
Possibilistic Approach For Novelty Detection In Data Streams. FUZZ-IEEE 2020: 1-8 - [c67]Andre Luis Cristiani, Douglas D. Lieira, Rodolfo Ipolito Meneguette, Heloisa A. Camargo:
A Fuzzy Intrusion Detection System for Identifying Cyber-Attacks on IoT Networks. LATINCOM 2020: 1-6 - 2019
- [c66]Maykon Rocha Santana, Heloisa A. Camargo:
A Parallel Strategy for Generation of Fuzzy Rule Bases in Big Data Problems Using the NSGA-DO. BRACIS 2019: 48-53 - [c65]Leonardo Schick, Priscilla de Abreu Lopes, Heloisa A. Camargo:
Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures. EUSFLAT Conf. 2019 - 2018
- [c64]Tiago Pinho da Silva, Vinícius Mourão Alves de Souza, Gustavo Enrique De Almeida Prado Alves Batista, Heloisa de Arruda Camargo:
A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. CIARP 2018: 287-295 - [c63]Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering. FUZZ-IEEE 2018: 1-8 - [c62]Tiago Pinho da Silva, Leonardo Schick, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
A Fuzzy Multiclass Novelty Detector for Data Streams. FUZZ-IEEE 2018: 1-8 - [c61]Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite:
Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting. FUZZ-IEEE 2018: 1-8 - [c60]Allisfrank dos Santos, Jorge Daniel Barros Júnior, Heloisa de Arruda Camargo:
Annotation of a Corpus of Tweets for Sentiment Analysis. PROPOR 2018: 294-302 - 2017
- [c59]Tiago Pinho da Silva, Gerson Antonio Urban, Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
A Fuzzy Variant for On-Demand Data Stream Classification. BRACIS 2017: 67-72 - [c58]Fernanda Eustáquio, Heloisa A. Camargo, Solange O. Rezende, Tatiane M. Nogueira:
On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space. EUSFLAT/IWIFSGN (2) 2017: 12-23 - [c57]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System. EUSFLAT/IWIFSGN (1) 2017: 389-399 - [c56]Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
FuzzStream: Fuzzy data stream clustering based on the online-offline framework. FUZZ-IEEE 2017: 1-6 - 2016
- [c55]Nilton V. Carvalho, Solange O. Rezende, Heloisa A. Camargo, Tatiane M. Nogueira:
Flexible document organization by mixing fuzzy and possibilistic clustering algorithms. FUZZ-IEEE 2016: 790-797 - [c54]Edward Hinojosa Cárdenas, Heloisa A. Camargo, Yván J. Túpac:
Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition. FUZZ-IEEE 2016: 1445-1452 - 2015
- [c53]Priscilla de Abreu Lopes, Ivana Yoshie Sumida, Heloisa A. Camargo, Haroldo F. de Campos Velho, Sandra A. Sandri:
A proposal for regime change/duration classification in chaotic systems. IFSA-EUSFLAT 2015 - [c52]Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo:
A hybrid forecast model combining fuzzy time series, linear regression and a new smoothing technique. IFSA-EUSFLAT 2015 - [c51]Marcos E. Cintra, Maria Carolina Monard, Heloisa A. Camargo:
FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis. FUZZ-IEEE 2015: 1-8 - [c50]Tatiane M. Nogueira, Solange O. Rezende, Heloisa A. Camargo:
Flexible document organization: Comparing fuzzy and possibilistic approaches. FUZZ-IEEE 2015: 1-8 - [c49]Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo:
NSGA-DO: Non-Dominated Sorting Genetic Algorithm Distance Oriented. FUZZ-IEEE 2015: 1-8 - 2014
- [c48]Helano Povoas de Lima, Heloisa de Arruda Camargo:
A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge. BRACIS 2014: 300-305 - [c47]Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo:
Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing. IBERAMIA 2014: 257-268 - [c46]Mariana V. Ribeiro, Luiz Manoel S. Cunha, Heloisa A. Camargo, Luiz Henrique A. Rodrigues:
Applying a Fuzzy Decision Tree Approach to Soil Classification. IPMU (1) 2014: 87-96 - 2013
- [c45]Cristiane A. Yaguinuma, Marilde Terezinha Prado Santos, Heloisa A. Camargo, Marek Z. Reformat:
A FML-based hybrid reasoner combining fuzzy ontology and Mamdani inference. FUZZ-IEEE 2013: 1-8 - [c44]Cristiane A. Yaguinuma, Walter C. P. Magalhães Jr., Marilde Terezinha Prado Santos, Heloisa A. Camargo, Marek Z. Reformat:
Combining Fuzzy Ontology Reasoning and Mamdani Fuzzy Inference System with HyFOM Reasoner. ICEIS 2013: 174-189 - [c43]Cristiane A. Yaguinuma, Walter C. P. Magalhães Jr., Marilde Terezinha Prado Santos, Heloisa A. Camargo, Marek Z. Reformat:
HyFOM Reasoner: Hybrid Integration of Fuzzy Ontology and Mamdani Reasoning. ICEIS (1) 2013: 370-378 - [c42]Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo:
Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy. ICMLA (2) 2013: 170-173 - [c41]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule. IFSA/NAFIPS 2013: 292-297 - [c40]Mariana V. Ribeiro, Heloisa A. Camargo, Marcos E. Cintra:
A comparative analysis of pruning strategies for fuzzy decision trees. IFSA/NAFIPS 2013: 709-714 - 2012
- [c39]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning. FUZZ-IEEE 2012: 1-8 - [c38]Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
Using fuzzy formal concepts in the genetic generation of fuzzy systems. FUZZ-IEEE 2012: 1-8 - [c37]Priscilla de Abreu Lopes, Heloisa de Arruda Camargo:
Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules. IRI 2012: 279-286 - [c36]Cristiane A. Yaguinuma, Marilde Terezinha Prado Santos, Heloisa A. Camargo, Maria C. Nicoletti, Tatiane M. Nogueira:
Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules. ISDA 2012: 166-171 - [c35]Tatiane M. Nogueira, Solange O. Rezende, Heloisa A. Camargo:
Fuzzy cluster descriptors improve flexible organization of documents. ISDA 2012: 616-621 - 2011
- [c34]Marcos Evandro Cintra, Maria Carolina Monard, Everton Alvares Cherman, Heloisa de Arruda Camargo:
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems. HIS 2011: 211-216 - [c33]Tatiane M. Nogueira, Solange O. Rezende, Heloisa A. Camargo:
Fuzzy cluster descriptor extraction for flexible organization of documents. HIS 2011: 528-533 - [c32]Pablo A. D. Castro, Heloisa A. Camargo, Fernando J. Von Zuben:
Designing fuzzy rule bases with a Bayesian Artificial Immune System. HIS 2011: 584-589 - [c31]Marcos Evandro Cintra, Carlos Alberto Alves Meira, Maria Carolina Monard, Heloisa A. Camargo, Luiz Henrique A. Rodrigues:
The use of fuzzy decision trees for coffee rust warning in Brazilian crops. ISDA 2011: 1347-1352 - 2010
- [c30]Cristiane A. Yaguinuma, Marilde Terezinha Prado Santos, Heloisa A. Camargo, Tatiane M. Nogueira:
A Meta-ontology Approach for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies. EDOCW 2010: 263-271 - [c29]Adinovam Henriques de Macedo Pimenta, Heloisa A. Camargo:
Interval type-2 fuzzy classifier design using Genetic Algorithms. FUZZ-IEEE 2010: 1-7 - [c28]Fabio Jose Justo dos Santos, Heloisa de Arruda Camargo:
Decision support systems in multicriteria groups: An approach based on fuzzy rules. FUZZ-IEEE 2010: 1-8 - [c27]Tatiane M. Nogueira, Solange O. Rezende, Heloisa A. Camargo:
On the use of fuzzy rules to text document classification. HIS 2010: 19-24 - [c26]Cristiane A. Yaguinuma, Vinícius Ramos Toledo Ferraz, Marilde Terezinha Prado Santos, Heloisa A. Camargo, Tatiane M. Nogueira:
A Model for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies. ICEIS (2) 2010: 438-442 - [c25]I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo:
Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set. ICMLA 2010: 635-640 - [c24]Marcos Evandro Cintra, Heloisa de Arruda Camargo:
Feature Subset Selection for Fuzzy Classification Methods. IPMU (1) 2010: 318-327 - [c23]Marcos Evandro Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. SBRN 2010: 188-193 - [c22]Adinovam Henriques de Macedo Pimenta, Heloisa de Arruda Camargo:
Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach. SBRN 2010: 194-199 - 2009
- [c21]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Trevor Martin:
Optimising the Fuzzy Granulation of Attribute Domains. IFSA/EUSFLAT Conf. 2009: 742-747 - [c20]I-Hsien Yin, Estevam R. Hruschka Jr., Heloisa de Arruda Camargo:
The Impact of Pruning BayesFuzzy Rule Set. ISDA 2009: 456-461 - 2008
- [c19]Tatiane Marques Nogueira, Heloisa de Arruda Camargo:
Context-Sensitive Clustering in the Design of Fuzzy Models. HIS 2008: 240-245 - [c18]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Maria Carolina Monard:
Fuzzy Feature Subset Selection Using the Wang & Mendel Method. HIS 2008: 590-595 - 2007
- [c17]Estevam R. Hruschka Jr., Heloisa de Arruda Camargo, Marcos Evandro Cintra, Maria do Carmo Nicoletti:
BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. FUZZ-IEEE 2007: 1-6 - [c16]Marcos Evandro Cintra, Heloisa de Arruda Camargo:
Fuzzy Rules Generation using Genetic Algorithms with Self-adaptive Selection. IRI 2007: 261-266 - [c15]Marcos Evandro Cintra, Heloisa de Arruda Camargo, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. ISDA 2007: 315-322 - 2006
- [c14]Anderson Francisco Talon, Heloisa de Arruda Camargo:
Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems. HIS 2006: 35 - [c13]Orides Morandin Jr., Pablo Alberto Dalbem de Castro, Edilson R. R. Kato, Heloisa A. Camargo:
A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs. SMC 2006: 56-61 - 2005
- [c12]Pablo A. D. Castro, Heloisa A. Camargo:
Focusing on Interpretability and Accuracy of a Genetic Fuzzy System. FUZZ-IEEE 2005: 696-701 - 2004
- [c11]Pablo A. D. Castro, Heloisa A. Camargo:
Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm. FUZZ-IEEE 2004: 1037-1042 - [c10]Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti:
Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. HIS 2004: 180-185 - [c9]Matheus Giovanni Pires, Heloisa de Arruda Camargo:
Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System. IRI 2004: 623-628 - [c8]Pablo Alberto Dalbem de Castro, Heloisa de Arruda Camargo:
A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules. SBIA 2004: 414-423 - [c7]Pablo Alberto Dalbem de Castro, Matheus Giovanni Pires, Heloisa de Arruda Camargo, Orides Morandin Jr., Edilson R. R. Kato:
Genetic learning of fuzzy rules applied to sequencing problem of FMS. SMC (5) 2004: 4336-4341 - 2003
- [c6]Matheus Giovanni Pires, Pablo Alberto Dalbem de Castro, Orides Morandin Jr., Heloisa de Arruda Camargo, Edilson R. R. Kato:
A real time production sequencing rule for machines of a FMS using fuzzy logic. SMC 2003: 4381-4386 - 2001
- [c5]Edilson Reis Rodrigues Kato, Orides Morandin Jr., Paulo R. Politano, Heloisa de Arruda Camargo:
A control design approach for complex automatic manufacturing systems. SMC 2001: 2475-2480 - 2000
- [c4]José Augusto Fabri, Heloisa de Arruda Camargo:
Sistema Neuro-Fuzzy para Aquisição de Conhecimento (NeuroFAC). IBERAMIA-SBIA 2000 Open Discussion Track 2000: 284-293 - [c3]Paulo R. Politano, Heloisa A. Camargo, Edilson R. R. Kato, Orides Morandin Jr.:
A reactive programming procedure for flexible manufacturing system. SMC 2000: 2156-2161 - [c2]Orides Morandin Jr., Edilson R. R. Kato, Paulo R. Politano, Heloisa A. Camargo, Arthur J. V. Porto, Ricardo Y. Inamasu:
A modular modeling approach for automated manufacturing systems based on shared resources and process planning using Petri nets. SMC 2000: 3057-3062 - [c1]Edilson R. R. Kato, Orides Morandin Jr., Paulo R. Politano, Heloisa A. Camargo:
A modular modeling approach for CNC machines control using Petri nets. SMC 2000: 3147-3152
Parts in Books or Collections
- 2013
- [p1]Marcos E. Cintra, Maria Carolina Monard, Heloisa de Arruda Camargo:
On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches. Soft Computing: State of the Art Theory and Novel Applications 2013: 89-104
Coauthor Index
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