Heloisa A. Camargo

According to our database1, Heloisa A. Camargo authored at least 75 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task.
Soft Comput., 2018

Annotation of a Corpus of Tweets for Sentiment Analysis.
Proceedings of the Computational Processing of the Portuguese Language, 2018

Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Fuzzy Multiclass Novelty Detector for Data Streams.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

d-FuzzStream: A Dispersion-Based Fuzzy Data Stream Clustering.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A Fuzzy Classifier for Data Streams with Infinitely Delayed Labels.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
FuzzStream: Fuzzy data stream clustering based on the online-offline framework.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

On Fuzzy Cluster Validity Indexes for High Dimensional Feature Space.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

A Fuzzy Variant for On-Demand Data Stream Classification.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Genetic generation of fuzzy systems with rule extraction using formal concept analysis.
Inf. Sci., 2016

Flexible document organization by mixing fuzzy and possibilistic clustering algorithms.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Progress in intelligent systems.
Neurocomputing, 2015

NSGA-DO: Non-Dominated Sorting Genetic Algorithm Distance Oriented.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Flexible document organization: Comparing fuzzy and possibilistic approaches.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

FCA-Based Rule Generator, a framework for the genetic generation of fuzzy classification systems using formal concept analysis.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A hybrid forecast model combining fuzzy time series, linear regression and a new smoothing technique.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

A proposal for regime change/duration classification in chaotic systems.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Applying a Fuzzy Decision Tree Approach to Soil Classification.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Forecasting in Fuzzy Time Series by an Extension of Simple Exponential Smoothing.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

A Methodology for Building Fuzzy Rule-Based Systems Integrating Expert and Data Knowledge.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
On Rule Learning Methods: A Comparative Analysis of Classic and Fuzzy Approaches.
Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013

Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases.
Int. J. Hybrid Intell. Syst., 2013

A comparative analysis of pruning strategies for fuzzy decision trees.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Preprocessing in Fuzzy Time Series to Improve the Forecasting Accuracy.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Combining Fuzzy Ontology Reasoning and Mamdani Fuzzy Inference System with HyFOM Reasoner.
Proceedings of the Enterprise Information Systems - 15th International Conference, 2013

HyFOM Reasoner: Hybrid Integration of Fuzzy Ontology and Mamdani Reasoning.
Proceedings of the ICEIS 2013, 2013

A FML-based hybrid reasoner combining fuzzy ontology and Mamdani inference.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Fuzz-Onto: A meta-ontology for representing fuzzy elements and supporting fuzzy classification rules.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Fuzzy cluster descriptors improve flexible organization of documents.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Automatic labeling by means of semi-supervised fuzzy clustering as a boosting mechanism in the generation of fuzzy rules.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Using fuzzy formal concepts in the genetic generation of fuzzy systems.
Proceedings of the FUZZ-IEEE 2012, 2012

Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
The use of fuzzy decision trees for coffee rust warning in Brazilian crops.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Fuzzy cluster descriptor extraction for flexible organization of documents.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

Designing fuzzy rule bases with a Bayesian Artificial Immune System.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling.
Int. J. Hybrid Intell. Syst., 2010

Data base definition and feature selection for the genetic generation of fuzzy rule bases.
Evolving Systems, 2010

Fuzzy Systems for Multicriteria Decision Making.
CLEI Electron. J., 2010

Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Feature Subset Selection for Fuzzy Classification Methods.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A Model for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

On the use of fuzzy rules to text document classification.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Decision support systems in multicriteria groups: An approach based on fuzzy rules.
Proceedings of the FUZZ-IEEE 2010, 2010

Interval type-2 fuzzy classifier design using Genetic Algorithms.
Proceedings of the FUZZ-IEEE 2010, 2010

A Meta-ontology Approach for Representing Vague Linguistic Terms and Fuzzy Rules for Classification in Ontologies.
Proceedings of the Workshops Proceedings of the 14th IEEE International Enterprise Distributed Object Computing Conference, 2010

2009
The Impact of Pruning BayesFuzzy Rule Set.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Optimising the Fuzzy Granulation of Attribute Domains.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. UCS, 2008

Context-Sensitive Clustering in the Design of Fuzzy Models.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Fuzzy Feature Subset Selection Using the Wang & Mendel Method.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Fuzzy Rule Base Generation through Genetic Algorithms and Bayesian Classifiers A Comparative Approach.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Fuzzy Rules Generation using Genetic Algorithms with Self-adaptive Selection.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007

BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
A Genetic Fuzzy System for Defining a Reactive Dispatching Rule for AGVs.
Proceedings of the IEEE International Conference on Systems, 2006

Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

2005
Focusing on Interpretability and Accuracy of a Genetic Fuzzy System.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Genetic learning of fuzzy rules applied to sequencing problem of FMS.
Proceedings of the IEEE International Conference on Systems, 2004

A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Fuzzy timed Petri nets.
Fuzzy Sets and Systems, 2003

A real time production sequencing rule for machines of a FMS using fuzzy logic.
Proceedings of the IEEE International Conference on Systems, 2003

2001
A control design approach for complex automatic manufacturing systems.
Proceedings of the IEEE International Conference on Systems, 2001

2000
A reactive programming procedure for flexible manufacturing system.
Proceedings of the IEEE International Conference on Systems, 2000

A modular modeling approach for automated manufacturing systems based on shared resources and process planning using Petri nets.
Proceedings of the IEEE International Conference on Systems, 2000

A modular modeling approach for CNC machines control using Petri nets.
Proceedings of the IEEE International Conference on Systems, 2000

Sistema Neuro-Fuzzy para Aquisição de Conhecimento (NeuroFAC).
Proceedings of the International Joint Conference, 2000

1999
Hierarchical fuzzy Petri nets and α-level sets inference.
Int. J. Intell. Syst., 1999


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