Anne M. P. Canuto

According to our database, Anne M. P. Canuto authored at least 157 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning.

Arthur C. Gorgônio, Anne M. P. Canuto, Arthur Medeiros, Karliane M. O. Vale, Flavius L. Gorgônio

Proceedings of the International Conference on Machine Learning and Applications, 2023

The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence.

Jesaías Carvalho Pereira Silva, Anne Magály de Paula Canuto, Araken de Medeiros Santos

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence.

Arthur Medeiros, Arthur C. Gorgônio, Karliane M. Ovidio Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

An Efficient Approach to Select Instances in Self-Training and Co-Training Semi-Supervised Methods.

Karliane M. O. Vale, Arthur Costa Gorgônio, Flavius da Luz e Gorgônio, Anne Magály de Paula Canuto

IEEE Access, 2022

Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods.

Cephas A. S. Barreto, Arthur Costa Gorgônio, João C. Xavier Junior, Anne Magály de Paula Canuto

IEEE Access, 2022

Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models.

Marcilio De Oliveira Meira, Anne Magály de Paula Canuto, Bruno Motta de Carvalho, Roberto Levi Cavalcanti Jales

Proceedings of the International Joint Conference on Neural Networks, 2022

An exploratory analysis of a dynamic ensemble structure using an automatic decision process.

Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments.

Arthur C. Gorgônio, Cephas A. S. Barreto, Song Jong Márcio Simioni da Costa, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results.

Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira

Nat. Comput., 2021

Preface.

André Carlos Ponce de Leon Ferreira de Carvalho, Anne Magály de Paula Canuto, Graçaliz Pereira Dimuro

Nat. Comput., 2021

EOCD: An ensemble optimization approach for concept drift applications.

Antonino Feitosa Neto, Anne M. P. Canuto

Inf. Sci., 2021

An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

Appl. Soft Comput., 2021

A generalized average linkage criterion for Hierarchical Agglomerative Clustering.

Leonardo Ramos Emmendorfer, Anne Magály de Paula Canuto

Appl. Soft Comput., 2021

Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning.

Robercy Alves da Silva, Anne Magály de Paula Canuto, Cephas A. S. Barreto, João Carlos Xavier Junior

IEEE Access, 2021

A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm.

Yago N. Araújo, Karliane M. O. Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto, Arthur Costa Gorgônio, Cephas A. S. Barreto

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Population-based bio-inspired algorithms for cluster ensembles optimization.

Anne M. P. Canuto, Antonino Feitosa Neto, Huliane M. Silva, João C. Xavier Junior, Cephas A. S. Barreto

Nat. Comput., 2020

Two approaches for clustering algorithms with relational-based data.

João Carlos Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves

Knowl. Inf. Syst., 2020

Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications.

Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto

Int. J. Comput. Intell. Appl., 2020

Improving multi-view facial expression recognition through two novel texture-based feature representations.

Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto

Intell. Data Anal., 2020

Two deterministic selection methods for the initial centers in fuzzy c-means based algorithms.

Liliane R. da Silva, Heloina Alves Arnaldo, Huliane da Silva, Ronildo P. A. Moura, Benjamín R. C. Bedregal, Anne Magály de Paula Canuto

Intell. Data Anal., 2020

Team Recommendation for the Pokémon GO Game Using Optimization Approaches.

Samuel da Silva Oliveira, Guilherme Eglé P. Lima Silva, Arthur C. Gorgônio, Cephas A. S. Barreto, Anne M. P. Canuto, Bruno M. Carvalho

Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

A Co-Training-based Algorithm Using Confidence Values to Select Instances.

Karliane M. O. Vale, Flavius L. Gorgônio, Yago N. Araújo, Arthur C. Gorgônio, Anne Magály de Paula Canuto

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Machine Learning Based Seismic Region Classification.

Samuel da S. Oliveira, Anne M. P. Canuto, Bruno M. Carvalho, Márcio Eduardo Kreutz

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments.

Arthur Costa Gorgônio, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods.

Cephas A. S. Barreto, Anne Magály de Paula Canuto, João C. Xavier Junior, Arthur Costa Gorgônio, Douglas F. A. Lima, Ranna R. F. da Costa

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles.

Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs.

Alba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering.

Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods.

Cephas A. S. Barreto, Arthur C. Gorgônio, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

A Data Stratification Process for Instances Selection in Semi-Supervised Learning.

Karliane M. O. Vale, Anne Magály de Paula Canuto, Flavius L. Gorgônio, Amarildo J. F. de Lucena, Cainan T. Alves, Arthur C. Gorgônio, Araken M. Santos

Proceedings of the International Joint Conference on Neural Networks, 2019

A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles.

Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure.

Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction.

Danilo Rodrigo Cavalcante Bandeira, Anne Magály de Paula Canuto, Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst, Cheng Li, Diego Silveira Costa Nascimento

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Gradual Complex Numbers and Their Application for Performance Evaluation Classifiers.

Emmanuelly L. Souza, Regivan H. N. Santiago, Anne M. P. Canuto, Rômulo de O. Nunes

IEEE Trans. Fuzzy Syst., 2018

Interdisciplinary Data Analysis.

Ana Carolina Lorena, Anne Magály de Paula Canuto

New Gener. Comput., 2018

Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles.

Antonino Feitosa Neto, Anne M. P. Canuto, João Carlos Xavier Jr.

Inf., 2018

Combining multiple algorithms in classifier ensembles using generalized mixture functions.

Valdigleis S. Costa, Antonio Diego Silva Farias, Benjamín R. C. Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto

Neurocomputing, 2018

Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes.

Isaac de L. Oliveira Filho, Anne M. P. Canuto, Benjamín R. C. Bedregal, Francisco Dantas

Int. J. Hybrid Intell. Syst., 2018

Investigating the impact of selection criteria in dynamic ensemble selection methods.

Jose Augusto S. Lustosa Filho, Anne M. P. Canuto, Regivan Hugo Nunes Santiago

Expert Syst. Appl., 2018

An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers.

Antonino Feitosa Neto, Anne M. P. Canuto

Appl. Intell., 2018

Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method.

Karliane M. Ovidio Vale, Anne Magály de Paula Canuto, Araken de Medeiros Santos, Flavius da Luz e Gorgônio, Alan de M. Tavares, Arthur C. Gorgônio, Cainan T. Alves

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble.

Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers.

Diego Silveira Costa Nascimento, Danilo R. C. Bandeira, Anne M. P. Canuto, Daniel Araújo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dynamic Feature Selection Based on Pareto Front Optimization.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers.

Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fusion of Local Descriptors for Multi-view Facial Expression Recognition.

Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Dynamic Feature Selection for Classifier Ensembles.

Rômulo de Oliveira Nunes, Carine Azevedo Dantas, Anne Magály de Paula Canuto, João Carlos Xavier Junior

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems.

Antonino Feitosa Neto, Anne M. P. Canuto, Carine A. Dantas

Comput. Intell., 2017

A multi-agent metaheuristic hybridization to the automatic design of ensemble systems.

Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. S. Barreto

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Feature Selection Approach Based on Information Theory for Classification Tasks.

Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity.

Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method.

Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

A 3D serious game for medical students training in clinical cases.

Rodrigo Monteiro de Lima, Araken de Medeiros Santos, Francisco Milton Mendes Neto, Ademar França de Sousa Neto, Felipe Cesar Pinheiro Leao, Francisco Tailanio de Macedo, Anne Magály de Paula Canuto

Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016

An unsupervised-based dynamic feature selection for classification tasks.

Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm.

Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João Carlos Xavier Jr.

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A Bio-inspired Optimization Technique for Cluster Ensembles Optimization.

Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João C. Xavier

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Fusion Approaches of Feature Selection Algorithms for Classification Problems.

Jhoseph Jesus, Daniel Araújo, Anne M. P. Canuto

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

An Interval-Based Framework for Fuzzy Clustering Applications.

Liliane R. da Silva, Ronildo P. A. Moura, Anne M. P. Canuto, Regivan H. N. Santiago, Benjamín R. C. Bedregal

IEEE Trans. Fuzzy Syst., 2015

Applying the Coral Reefs Optimization algorithm to clustering problems.

Inácio Gomes Medeiros, João Carlos Xavier Jr., Anne M. P. Canuto

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An analysis of diversity measures for the dynamic design of ensemble of classifiers.

Jose Augusto S. Lustosa Filho, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-privacy biometric protection scheme using ensemble systems.

Marcelo Damasceno, Anne M. P. Canuto, Norman Poh

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study.

Diego Silveira Costa Nascimento, André L. V. Coelho, Anne M. P. Canuto

Neurocomputing, 2014

An effective template protection method for face and voice cancellable identification.

Anne M. P. Canuto, Fernando Pintro, Michael C. Fairhurst

Int. J. Hybrid Intell. Syst., 2014

Ensemble systems and cancellable transformations for multibiometric-based identification.

Anne Magály de Paula Canuto, Michael C. Fairhurst, Fernando Pintro

IET Biom., 2014

Applying semi-supervised learning in hierarchical multi-label classification.

Araken M. Santos, Anne M. P. Canuto

Expert Syst. Appl., 2014

Filter-based optimization techniques for selection of feature subsets in ensemble systems.

Laura Emmanuella A. dos S. Santana, Anne Magály de Paula Canuto

Expert Syst. Appl., 2014

Applying the self-training semi-supervised learning in hierarchical multi-label methods.

Araken M. Santos, Anne M. P. Canuto

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Confidence factor and feature selection for semi-supervised multi-label classification methods.

Fillipe M. Rodrigues, Campus Joao Camara, Anne M. P. Canuto, Araken M. Santos

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An empirical analysis of ensemble systems in cancellable behavioural biometrics: A touch screen dataset.

Marcelo Damasceno, Anne M. P. Canuto

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy clustering algorithm with H-operator applied to problems with interval-based data.

Liliane R. da Silva, Ronildo P. A. Moura, Anne M. P. Canuto, Regivan Hugo Nunes Santiago, Benjamín R. C. Bedregal

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Meta-learning and Multi-objective Optimization to Design Ensemble of Classifiers.

Antonino Feitosa Neto, Anne M. P. Canuto

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems.

Diego Silveira Costa Nascimento, Anne M. P. Canuto, André L. V. Coelho

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Investigating fusion approaches in multi-biometric cancellable recognition.

Anne M. P. Canuto, Fernando Pintro, João C. Xavier Junior

Expert Syst. Appl., 2013

A comparative analysis of dissimilarity measures for clustering categorical data.

João Carlos Xavier Jr., Anne M. P. Canuto, Noriedson D. Almeida, Luiz Marcos Garcia Gonçalves

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using confidence values in multi-label classification problems with semi-supervised learning.

Fillipe M. Rodrigues, Araken de Medeiros Santos, Anne M. P. Canuto

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using genetic algorithms and ensemble systems in online cancellable signature recognition.

Fernando Pintro, Anne M. P. Canuto, Michael C. Fairhurst

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Characterization measures of ensemble systems using a meta-learning approach.

Regina R. Parente, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data.

Isaac de L. Oliveira Filho, Otaciana G. R. Santiago, Anne M. P. Canuto, Benjamín René Callejas Bedregal

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

An empirical analysis of cancellable transformations in a behavioural biometric modality.

Marcelo Damasceno, Anne M. P. Canuto

Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach.

Antonino Feitosa Neto, Anne M. P. Canuto, Teresa Bernarda Ludermir

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Particle Swarm Intelligence as Feature Selector in Ensemble Systems.

Laura Emmanuella A. Santana, Anne M. P. Canuto

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

ReinSel: A class-based mechanism for feature selection in ensemble of classifiers.

Anne M. P. Canuto, Karliane M. O. Vale, Antonino Feitosa Neto, Alberto Signoretti

Appl. Soft Comput., 2012

A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem.

Givanaldo R. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Anne M. P. Canuto

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

An Experimental Study of Ensemble Systems on Cancellable Iris.

Fernando Pintro, Anne M. P. Canuto

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Using semi-supervised learning in multi-label classification problems.

Araken M. Santos, Anne M. P. Canuto

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function.

Anne M. P. Canuto, Diego Silveira Costa Nascimento

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems.

Laura Emmanuella A. Santana, Anne M. P. Canuto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

New Approach for Clustering Relational Data Based on Relationship and Attribute Information.

João C. Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves, Luiz A. H. G. de Oliveira

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data.

Isaac de L. Oliveira Filho, Benjamín R. C. Bedregal, Anne M. P. Canuto

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Classifier ensembles and optimization techniques to improve the performance of cancellable fingerprint.

Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, João C. Xavier Junior, Antonino Feitosa Neto, Luiz Marcos Garcia Gonçalves

Int. J. Hybrid Intell. Syst., 2011

Ensembles of ARTMAP-based neural networks: an experimental study.

Anne M. P. Canuto, Araken M. Santos, Rogério R. Vargas

Appl. Intell., 2011

Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis.

Laura Emmanuella A. Santana, Anne M. P. Canuto, Ligia Silva

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Combining different ways to generate diversity in bagging models: An evolutionary approach.

Diego Silveira Costa Nascimento, Anne Magály de Paula Canuto, Ligia Maria Moura e Silva, André Luís Vasconcelos Coelho

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A hierarchical approach to represent relational data applied to clustering tasks.

João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents.

Alberto Signoretti, Antonino Feitosa Neto, André M. C. Campos, Anne M. P. Canuto, João C. Xavier Junior, Sérgio V. Fialho

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011

Introducing Affective Agents in Recommendation Systems Based on Relational Data Clustering.

João C. Xavier Junior, Alberto Signoretti, Anne M. P. Canuto, André M. C. Campos, Luiz Marcos Gonçalves, Sérgio V. Fialho

Proceedings of the Database and Expert Systems Applications, 2011

Optimization techniques for the selection of members and attributes in ensemble systems.

Antonino Feitosa Neto, Anne M. P. Canuto, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods.

Karliane O. Vale, Antonino Feitosa Neto, Anne M. P. Canuto, Filipe G. Dias

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles.

Anne M. P. Canuto, Fernando Pintro, Antonino Feitosa Neto, Michael C. Fairhurst

Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Increasing the Eciency of NPCs Using a Focus of Attention Based on Emotions and Personality.

Alberto Signoretti, Antonino Feitosa Neto, André M. C. Campos, Anne M. P. Canuto, Sérgio V. Fialho

Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

Web log data clustering for a multi-agent recommendation system.

João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Analyzing Classification Methods in Multi-label Tasks.

Araken M. Santos, Laura Emmanuella A. Santana, Anne M. P. Canuto

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Ensemble-Based Methods for Cancellable Biometrics.

Anne M. P. Canuto, Michael C. Fairhurst, Laura Emmanuella A. Santana, Fernando Pintro, Antonino Feitosa Neto

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Using a reinforcement-based feature selection method in Classifier Ensemble.

Karliane O. Vale, Antonino Feitosa Neto, Anne M. P. Canuto

Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Evaluating classification methods applied to multi-label tasks in different domains.

Araken M. Santos, Anne Magály de Paula Canuto, Antonino Feitosa Neto

Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers.

Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto, Fernando Pintro, Karliane O. Vale

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach.

Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2009

Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles.

Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the International Joint Conference on Neural Networks, 2009

The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles.

Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Brazilian Symposium on Neural Networks (SBRN2006).

André Carlos Ponce de Leon Ferreira de Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Neurocomputing, 2008

An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks.

Anne M. P. Canuto, Laura Emmanuella A. Santana, Márjory C. C. Abreu, João Carlos Xavier Jr.

Neurocomputing, 2008

Applying Static and Dynamic Weight Measures in Ensemble Systems.

Raul Benites Paradeda, João Carlos Xavier Jr., Anne M. P. Canuto

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Empirical comparison of Dynamic Classifier Selection methods based on diversity and accuracy for building ensembles.

Marcílio Carlos Pereira de Souto, Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2008

Investigating the influence of RePART in ensemble systems designed by boosting.

Araken M. Santos, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2008

An analysis of data distribution methods in classifier combination systems.

Laura Emmanuella A. Santana, Alberto Signoretti, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2008

Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting.

Araken de Medeiros Santos, Anne Magály de Paula Canuto

Proceedings of the Artificial Neural Networks, 2008

Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.

Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the Artificial Neural Networks, 2008

A Class-Based Feature Selection Method for Ensemble Systems.

Karliane M. O. Vale, Filipe G. Dias, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Accuracy and Diversity in Ensemble Systems Composed of ARTMAP-Based Models.

Araken M. Santos, Anne M. P. Canuto, João Carlos Xavier Jr.

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007

Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles.

Anne M. P. Canuto, Márjory C. C. Abreu, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos

Pattern Recognit. Lett., 2007

Investigating the use of a multi-agent system for knowledge discovery in databases.

Anne M. P. Canuto, André M. C. Campos, Valéria Maria S. Bezerra, Márjory C. C. Abreu

Int. J. Hybrid Intell. Syst., 2007

Using an Evolutionary Agent-Based System for Classification Tasks.

Diogo F. de Oliveira, Anne M. P. Canuto, Marcilio C. P. de Souto

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

An Experimental Study on the Importance of the Choice of the Ensemble Members in Fuzzy Combination Methods.

Márjory C. C. Abreu, Anne Magály de Paula Canuto

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Comparative Analysis of Feature Selection Methods for Ensembles with Different Combination Methods.

Laura Emmanuella A. Santana, Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the International Joint Conference on Neural Networks, 2007

Investigating the Use of an Evolutionary Agent-based System for Classification Tasks.

Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the International Joint Conference on Neural Networks, 2007

Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods.

Márjory C. C. Abreu, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2007

Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity.

Anne M. P. Canuto, Márjory C. C. Abreu

Proceedings of the Artificial Neural Networks, 2007

Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems.

Lucas M. Oliveira, Raul Benites Paradeda, Bruno M. Carvalho, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

Using weighted dynamic classifier selection methods in ensembles with different levels of diversity.

Anne M. P. Canuto, Diogo Fagundes, Márjory C. C. Abreu, João Carlos Xavier Jr.

Int. J. Hybrid Intell. Syst., 2006

A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.

Alixandre Santana, Rodrigo G. F. Soares, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the SBRN 2006, 2006

A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks.

Laura Emmanuella A. Santana, Anne M. P. Canuto, Márjory C. C. Abreu

Proceedings of the SBRN 2006, 2006

Applying Weights in the Functioning of the Dynamic Classifier Selection Method.

Diogo Fagundes, Anne M. P. Canuto

Proceedings of the SBRN 2006, 2006

Using Accuracy and Diversity to Select Classifiers to Build Ensembles.

Rodrigo G. F. Soares, Alixandre Santana, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the International Joint Conference on Neural Networks, 2006

Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents.

Laura Emmanuella A. Santana, Anne M. P. Canuto, Márjory C. C. Abreu

Proceedings of the International Joint Conference on Neural Networks, 2006

Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks.

Márjory C. C. Abreu, Anne M. P. Canuto

Proceedings of the International Joint Conference on Neural Networks, 2006

Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity.

Thiago Dutra, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Simulating Working Environments Through the Use of Personality-Based Agents.

Anne M. P. Canuto, André M. C. Campos, Araken M. Santos, Eliane C. M. de Moura, Emanuel B. Santos, Rodrigo G. Soares, Kaio A. A. Dantas

Proceedings of the Advances in Artificial Intelligence, 2006

Carcara: A Multi-agent System for Web Mining Using Adjustable User Profile and Dynamic Grouping.

Manuel F. Gomes Junior, Anne M. P. Canuto

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks.

Laura Emmanuella A. Santana, Anne M. P. Canuto, João Carlos Xavier Jr., André M. C. Campos

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

GNeurAge: An Evolutionary Agent-Based System for Classification Tasks.

Diogo F. de Oliveira, Anne M. P. Canuto, André M. C. Campos

Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

A flexible framework for representing personality in agents.

André M. C. Campos, Emanuel B. Santos, Anne M. P. Canuto, Rodrigo G. Soares, João Carlos Alchieri

Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

2005

A Multi-Agent System for 3D Media Spaces Assistance.

Tatiana A. Tavares, Samuel A. Oliveira, Anne M. P. Canuto, Luiz Marcos Gonçalves, Guido Lemos de Souza Filho

Proceedings of the Third Latin American Web Congress (LA-Web 2005), 1 October, 2005

A personality-based model of agents for representing individuals in working organizations.

Anne M. P. Canuto, André M. C. Campos, João Carlos Alchieri, Eliane C. M. de Moura, Araken M. Santos, Emamuel B. dos Santos, Rodrigo G. Soares

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles.

Anne M. P. Canuto, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos, Márjory C. C. Abreu

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System.

Márjory C. C. Abreu, Anne M. P. Canuto, Laura Emmanuella A. Santana

Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004

An Infrastructure for Providing Communication among Users of Virtual Cultural Spaces.

Tatiana A. Tavares, Samuel A. Oliveira, Anne M. P. Canuto, Luiz Marcos Gonçalves, Guido Lemos de Souza Filho

Proceedings of the Joint Conference 10th Brazilian Symposium on Multimedia and the Web & 2nd Latin American Web Congress, 2004

Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks.

Anne M. P. Canuto, Araken M. Santos, Márjory C. C. Abreu, Valéria Maria S. Bezerra, Fernanda M. Souza, Manuel F. Gomes Junior

Proceedings of the Neural Information Processing, 11th International Conference, 2004

A normal form which preserves 1-tautologies and 0-contradictions in a class of residuum-based propositional fuzzy logics.

Benjamín René Callejas Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Towards a Methodology for Developing Agent-Based Simulations: The MASim Methodology.

André M. C. Campos, Anne M. P. Canuto, Jorge H. C. Fernandes

Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003

Intelligent agents for the management of complexity in multimodal biometrics.

Farzin Deravi, Michael C. Fairhurst, Richard M. Guest, Nick Jeremy Mavity, Anne M. P. Canuto

Univers. Access Inf. Soc., 2003

Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System.

Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells

Int. J. Neural Syst., 2003

2002

An Investigation of Fuzzy Combiners applied to a Hybrid Multi-neural System.

Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

2001

Improving Artmap Learning Through Variable Vigilance.

Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells

Int. J. Neural Syst., 2001

2000

An Investigation of the Effects of Variable Vigilance within the RePART Neuro-Fuzzy Network.

Anne M. P. Canuto, Gareth Howells, Michael C. Fairhurst

J. Intell. Robotic Syst., 2000

The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems.

Anne M. P. Canuto, Gareth Howells, Michael C. Fairhurst

Connect. Sci., 2000

1999

RePART: A Modified Fuzzy ARTMAP for Pattern Recognition.

Anne M. P. Canuto, Gareth Howells, Michael C. Fairhurst

Proceedings of the Computational Intelligence, 1999