Hierarchical fuzzy Petri nets and α-level sets inference. - Heloisa A. Camargo; Fernando A. C. Gomide (Int. J. Intell. Syst., 1999)

Sistema Neuro-Fuzzy para Aquisição de Conhecimento (NeuroFAC). - José Augusto Fabri; Heloisa de Arruda Camargo (IBERAMIA-SBIA 2000 Open Discussion Track, 2000)

A modular modeling approach for CNC machines control using Petri nets. - Edilson R. R. Kato; Orides Morandin Jr.; Paulo R. Politano; Heloisa A. Camargo (SMC, 2000)

A modular modeling approach for automated manufacturing systems based on shared resources and process planning using Petri nets. - Orides Morandin Jr.; Edilson R. R. Kato; Paulo R. Politano; Heloisa A. Camargo; Arthur J. V. Porto; Ricardo Y. Inamasu (SMC, 2000)

A reactive programming procedure for flexible manufacturing system. - Paulo R. Politano; Heloisa A. Camargo; Edilson R. R. Kato; Orides Morandin Jr. (SMC, 2000)

A control design approach for complex automatic manufacturing systems. - Edilson Reis Rodrigues Kato; Orides Morandin Jr.; Paulo R. Politano; Heloisa de Arruda Camargo (SMC, 2001)

A real time production sequencing rule for machines of a FMS using fuzzy logic. - Matheus Giovanni Pires; Pablo Alberto Dalbem de Castro; Orides Morandin Jr.; Heloisa de Arruda Camargo; Edilson R. R. Kato (SMC, 2003)

Fuzzy timed Petri nets. - Witold Pedrycz; Heloisa de Arruda Camargo (Fuzzy Sets Syst., 2003)

Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm. - Pablo A. D. Castro; Heloisa A. Camargo (FUZZ-IEEE, 2004)

Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. - Pablo Alberto Dalbem de Castro; Daniel Monegatto Santoro; Heloisa de Arruda Camargo; Maria do Carmo Nicoletti (HIS, 2004)

Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System. - Matheus Giovanni Pires; Heloisa de Arruda Camargo (IRI, 2004)

A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules. - Pablo Alberto Dalbem de Castro; Heloisa de Arruda Camargo (SBIA, 2004)

Genetic learning of fuzzy rules applied to sequencing problem of FMS. - Pablo Alberto Dalbem de Castro; Matheus Giovanni Pires; Heloisa de Arruda Camargo; Orides Morandin Jr.; Edilson R. R. Kato (SMC (5), 2004)

Focusing on Interpretability and Accuracy of a Genetic Fuzzy System. - Pablo A. D. Castro; Heloisa A. Camargo (FUZZ-IEEE, 2005)

Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems. - Anderson Francisco Talon; Heloisa de Arruda Camargo (HIS, 2006)

A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs. - Orides Morandin Jr.; Pablo Alberto Dalbem de Castro; Edilson R. R. Kato; Heloisa A. Camargo (SMC, 2006)

BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. - Estevam R. Hruschka Jr.; Heloisa de Arruda Camargo; Marcos Evandro Cintra; Maria do Carmo Nicoletti (FUZZ-IEEE, 2007)

Fuzzy Rules Generation using Genetic Algorithms with Self-adaptive Selection. - Marcos Evandro Cintra; Heloisa de Arruda Camargo (IRI, 2007)

Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (ISDA, 2007)

Fuzzy Feature Subset Selection Using the Wang & Mendel Method. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Maria Carolina Monard (HIS, 2008)

Context-Sensitive Clustering in the Design of Fuzzy Models. - Tatiane Marques Nogueira; Heloisa de Arruda Camargo (HIS, 2008)

Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti (J. Univers. Comput. Sci., 2008)

Optimising the Fuzzy Granulation of Attribute Domains. - Marcos Evandro Cintra; Heloisa de Arruda Camargo; Trevor Martin (IFSA/EUSFLAT Conf., 2009)

The Impact of Pruning BayesFuzzy Rule Set. - I-Hsien Yin; Estevam R. Hruschka Jr.; Heloisa de Arruda Camargo (ISDA, 2009)

A Meta-ontology Approach for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies. - Cristiane A. Yaguinuma; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Tatiane M. Nogueira (EDOCW, 2010)

Interval type-2 fuzzy classifier design using Genetic Algorithms. - Adinovam Henriques de Macedo Pimenta; Heloisa A. Camargo (FUZZ-IEEE, 2010)

Decision support systems in multicriteria groups: An approach based on fuzzy rules. - Fabio Jose Justo dos Santos; Heloisa de Arruda Camargo (FUZZ-IEEE, 2010)

On the use of fuzzy rules to text document classification. - Tatiane M. Nogueira; Solange O. Rezende; Heloisa A. Camargo (HIS, 2010)

A Model for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies. - Cristiane A. Yaguinuma; Vinícius Ramos Toledo Ferraz; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Tatiane M. Nogueira (ICEIS (2), 2010)

Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set. - I-Hsien Yin; Estevam R. Hruschka Jr.; Heloisa de Arruda Camargo (ICMLA, 2010)

Feature Subset Selection for Fuzzy Classification Methods. - Marcos Evandro Cintra; Heloisa de Arruda Camargo (IPMU (1), 2010)

An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms. - Marcos Evandro Cintra; Maria Carolina Monard; Heloisa de Arruda Camargo (SBRN, 2010)

Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach. - Adinovam Henriques de Macedo Pimenta; Heloisa de Arruda Camargo (SBRN, 2010)

Fuzzy Systems for Multicriteria Decision Making. - Fabio J. J. Santos; Heloisa A. Camargo (CLEI Electron. J., 2010)

Data base definition and feature selection for the genetic generation of fuzzy rule bases. - Marcos E. Cintra; Maria Carolina Monard; Heloisa A. Camargo (Evol. Syst., 2010)

Fuzzy-CCM: A context-sensitive approach to fuzzy modeling. - Tatiane Marques Nogueira; Heloisa de Arruda Camargo (Int. J. Hybrid Intell. Syst., 2010)

Designing fuzzy rule bases with a Bayesian Artificial Immune System. - Pablo A. D. Castro; Heloisa A. Camargo; Fernando J. Von Zuben (HIS, 2011)

On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems. - Marcos Evandro Cintra; Maria Carolina Monard; Everton Alvares Cherman; Heloisa de Arruda Camargo (HIS, 2011)

Fuzzy cluster descriptor extraction for flexible organization of documents. - Tatiane M. Nogueira; Solange O. Rezende; Heloisa A. Camargo (HIS, 2011)

The use of fuzzy decision trees for coffee rust warning in Brazilian crops. - Marcos Evandro Cintra; Carlos Alberto Alves Meira; Maria Carolina Monard; Heloisa A. Camargo; Luiz Henrique A. Rodrigues (ISDA, 2011)

Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (FUZZ-IEEE, 2012)

Using fuzzy formal concepts in the genetic generation of fuzzy systems. - Marcos Evandro Cintra; Maria Carolina Monard; Heloisa de Arruda Camargo (FUZZ-IEEE, 2012)

Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules. - Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (IRI, 2012)

Fuzzy cluster descriptors improve flexible organization of documents. - Tatiane M. Nogueira; Solange O. Rezende; Heloisa A. Camargo (ISDA, 2012)

Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules. - Cristiane A. Yaguinuma; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Maria C. Nicoletti; Tatiane M. Nogueira (ISDA, 2012)

A FML-based hybrid reasoner combining fuzzy ontology and Mamdani inference. - Cristiane A. Yaguinuma; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Marek Z. Reformat (FUZZ-IEEE, 2013)

HyFOM Reasoner: Hybrid Integration of Fuzzy Ontology and Mamdani Reasoning. - Cristiane A. Yaguinuma; Walter C. P. Magalhães Jr.; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Marek Z. Reformat (ICEIS (1), 2013)

Combining Fuzzy Ontology Reasoning and Mamdani Fuzzy Inference System with HyFOM Reasoner. - Cristiane A. Yaguinuma; Walter C. P. Magalhães Jr.; Marilde Terezinha Prado Santos; Heloisa A. Camargo; Marek Z. Reformat (ICEIS, 2013)

Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy. - Fabio Jose Justo dos Santos; Heloisa de Arruda Camargo (ICMLA (2), 2013)

Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (IFSA/NAFIPS, 2013)

A comparative analysis of pruning strategies for fuzzy decision trees. - Mariana V. Ribeiro; Heloisa A. Camargo; Marcos E. Cintra (IFSA/NAFIPS, 2013)

Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases. - Pablo A. D. Castro; Heloisa A. Camargo; Fernando J. Von Zuben (Int. J. Hybrid Intell. Syst., 2013)

On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches. - Marcos E. Cintra; Maria Carolina Monard; Heloisa de Arruda Camargo (Soft Computing: State of the Art Theory and Novel Applications, 2013)

A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge. - Helano Povoas de Lima; Heloisa de Arruda Camargo (BRACIS, 2014)

Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing. - Fabio Jose Justo dos Santos; Heloisa de Arruda Camargo (IBERAMIA, 2014)

Applying a Fuzzy Decision Tree Approach to Soil Classification. - Mariana V. Ribeiro; Luiz Manoel S. Cunha; Heloisa A. Camargo; Luiz Henrique A. Rodrigues (IPMU (1), 2014)

A proposal for regime change/duration classification in chaotic systems. - Priscilla de Abreu Lopes; Ivana Yoshie Sumida; Heloisa A. Camargo; Haroldo F. de Campos Velho; Sandra A. Sandri (IFSA-EUSFLAT, 2015)

A hybrid forecast model combining fuzzy time series, linear regression and a new smoothing technique. - Fabio Jose Justo dos Santos; Heloisa de Arruda Camargo (IFSA-EUSFLAT, 2015)

FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis. - Marcos E. Cintra; Maria Carolina Monard; Heloisa A. Camargo (FUZZ-IEEE, 2015)

Flexible document organization: Comparing fuzzy and possibilistic approaches. - Tatiane M. Nogueira; Solange O. Rezende; Heloisa A. Camargo (FUZZ-IEEE, 2015)

NSGA-DO: Non-Dominated Sorting Genetic Algorithm Distance Oriented. - Adinovam Henriques de Macedo Pimenta; Heloisa de Arruda Camargo (FUZZ-IEEE, 2015)

Progress in intelligent systems. - Aurora T. R. Pozo; Heloisa de Arruda Camargo; Teresa Bernarda Ludermir (Neurocomputing, 2015)

Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition. - Edward Hinojosa Cárdenas; Heloisa A. Camargo; Yván J. Túpac (FUZZ-IEEE, 2016)

Flexible document organization by mixing fuzzy and possibilistic clustering algorithms. - Nilton V. Carvalho; Solange O. Rezende; Heloisa A. Camargo; Tatiane M. Nogueira (FUZZ-IEEE, 2016)

Genetic generation of fuzzy systems with rule extraction using formal concept analysis. - Marcos E. Cintra; Heloisa A. Camargo; Maria Carolina Monard (Inf. Sci., 2016)

A Fuzzy Variant for On-Demand Data Stream Classification. - Tiago Pinho da Silva; Gerson Antonio Urban; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (BRACIS, 2017)

A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (EUSFLAT/IWIFSGN (1), 2017)

On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space. - Fernanda Eustáquio; Heloisa A. Camargo; Solange O. Rezende; Tatiane M. Nogueira (EUSFLAT/IWIFSGN (2), 2017)

FuzzStream: Fuzzy data stream clustering based on the online-offline framework. - Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 2017)

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels. - Tiago Pinho da Silva; Vinícius Mourão Alves de Souza; Gustavo Enrique De Almeida Prado Alves Batista; Heloisa de Arruda Camargo (CIARP, 2018)

d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering. - Leonardo Schick; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 2018)

A Fuzzy Multiclass Novelty Detector for Data Streams. - Tiago Pinho da Silva; Leonardo Schick; Priscilla de Abreu Lopes; Heloisa de Arruda Camargo (FUZZ-IEEE, 2018)

Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting. - Eduardo A. Soares 001; Heloisa A. Camargo; Suzana J. Camargo; Daniel F. Leite (FUZZ-IEEE, 2018)

Annotation of a Corpus of Tweets for Sentiment Analysis. - Allisfrank dos Santos; Jorge Daniel Barros Júnior; Heloisa de Arruda Camargo (PROPOR, 2018)

Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (Soft Comput., 2018)

A Parallel Strategy for Generation of Fuzzy Rule Bases in Big Data Problems Using the NSGA-DO. - Maykon Rocha Santana; Heloisa A. Camargo (BRACIS, 2019)

Merging Clusters in Summary Structures for Data Stream Mining based on Fuzzy Similarity Measures. - Leonardo Schick; Priscilla de Abreu Lopes; Heloisa A. Camargo (EUSFLAT Conf., 2019)

A Fuzzy Approach for Classification and Novelty Detection in Data Streams Under Intermediate Latency. - Andre Luis Cristiani; Tiago Pinho da Silva; Heloisa de Arruda Camargo (BRACIS (2), 2020)

Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach. - Edward Hinojosa Cárdenas; Edgar Sarmiento-Calisaya; Heloisa de Arruda Camargo (FUZZ-IEEE, 2020)

Possibilistic Approach For Novelty Detection In Data Streams. - Tiago Pinho da Silva; Heloisa de Arruda Camargo (FUZZ-IEEE, 2020)

A Fuzzy Intrusion Detection System for Identifying Cyber-Attacks on IoT Networks. - Andre Luis Cristiani; Douglas D. Lieira; Rodolfo I. Meneguette; Heloisa A. Camargo (LATINCOM, 2020)

Preface. - Aurora T. R. Pozo; Heloisa de Arruda Camargo (Nat. Comput., 2020)

A Modified NSGA-DO for Solving Multiobjective Optimization Problems. - Jussara Gomes Machado; Matheus Giovanni Pires; Fabiana Cristina Bertoni; Adinovam Henriques de Macedo Pimenta; Heloisa de Arruda Camargo (BRACIS (1), 2021)

A Fuzzy Multi-class Novelty Detector for Data Streams Under Intermediate Latency. - André Luis Cristiani; Heloisa de Arruda Camargo (FUZZ-IEEE, 2021)

Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function. - Edward Hinojosa Cárdenas; Edgar Sarmiento-Calisaya; Heloisa A. Camargo; José Antonio Sanz 001 (WILF, 2021)

Explainability of Machine Learning Models with XGBoost and SHAP Values in the Context of Coping with Disasters. - Lucas Teixeira; Augusto Matos; Gabriel Carvalho; Norma Valencio; Heloisa A. Camargo (BRACIS (4), 2024)

Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods. - Asier Urio-Larrea; Graçaliz Pereira Dimuro; Javier Andréu Pérez; Heloisa A. Camargo; Humberto Bustince (EAIS, 2024)

Grouping Indices: Definition, Properties and Construction Methods. - Graçaliz Pereira Dimuro; Hélida Salles Santos; Asier Urio-Larrea; Tiago da Cruz Asmus; Giancarlo Lucca; Heloisa A. Camargo; Maria Eugênia Parodi; Humberto Bustince (FUZZ, 2024)

Insights into the q Exponent in Power Measure with Choquet-Based Generalizations for Classification Problems. - Giancarlo Lucca; Tiago da Cruz Asmus; Cédric Marco-Detchart; Hélida Salles Santos; Heloisa A. Camargo; Adenauer C. Yamin; Renata H. S. Reiser; Humberto Bustince; Alice Tissot Garcia Pintanel; Graçaliz Pereira Dimuro (EUSFLAT (1), 2025)

Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes. - Asier Urio-Larrea; Heloisa A. Camargo; Giancarlo Lucca; Tiago da Cruz Asmus; Cédric Marco-Detchart; Leonardo Schick; Carlos Lopez-Molina; Javier Andreu-Perez; Humberto Bustince; Graçaliz Pereira Dimuro (IEEE Trans. Cybern., 2025)

On Generalized Overlap and Grouping Indices in n-Dimensional Contexts. - Tiago da Cruz Asmus; Graçaliz Pereira Dimuro; Giancarlo Lucca; Cédric Marco-Detchart; Hélida Salles Santos; Heloisa A. Camargo; Humberto Bustince (Int. J. Comput. Intell. Syst., 2025)