Anne M. P. Canuto

According to our database1, Anne M. P. Canuto authored at least 139 papers between 1999 and 2020.

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

Timeline

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Bibliography

2020
Population-based bio-inspired algorithms for cluster ensembles optimization.
Nat. Comput., 2020

Two approaches for clustering algorithms with relational-based data.
Knowl. Inf. Syst., 2020

Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications.
Int. J. Comput. Intell. Appl., 2020

Improving multi-view facial expression recognition through two novel texture-based feature representations.
Intell. Data Anal., 2020

Two deterministic selection methods for the initial centers in fuzzy c-means based algorithms.
Intell. Data Anal., 2020

Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering.
CoRR, 2020

A Co-Training-based Algorithm Using Confidence Values to Select Instances.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Machine Learning Based Seismic Region Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
A Data Stratification Process for Instances Selection in Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Gradual Complex Numbers and Their Application for Performance Evaluation Classifiers.
IEEE Trans. Fuzzy Syst., 2018

Interdisciplinary Data Analysis.
New Gener. Comput., 2018

Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles.
Inf., 2018

Combining multiple algorithms in classifier ensembles using generalized mixture functions.
Neurocomputing, 2018

Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes.
Int. J. Hybrid Intell. Syst., 2018

Investigating the impact of selection criteria in dynamic ensemble selection methods.
Expert Syst. Appl., 2018

An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers.
Appl. Intell., 2018

Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method.
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.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Dynamic Feature Selection Based on Pareto Front Optimization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fusion of Local Descriptors for Multi-view Facial Expression Recognition.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Dynamic Feature Selection for Classifier Ensembles.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems.
Comput. Intell., 2017

A multi-agent metaheuristic hybridization to the automatic design of ensemble systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Feature Selection Approach Based on Information Theory for Classification Tasks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity.
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.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
A 3D serious game for medical students training in clinical cases.
Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016

An unsupervised-based dynamic feature selection for classification tasks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

A Bio-inspired Optimization Technique for Cluster Ensembles Optimization.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Fusion Approaches of Feature Selection Algorithms for Classification Problems.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
An Interval-Based Framework for Fuzzy Clustering Applications.
IEEE Trans. Fuzzy Syst., 2015

Applying the Coral Reefs Optimization algorithm to clustering problems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An analysis of diversity measures for the dynamic design of ensemble of classifiers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-privacy biometric protection scheme using ensemble systems.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study.
Neurocomputing, 2014

An effective template protection method for face and voice cancellable identification.
Int. J. Hybrid Intell. Syst., 2014

Ensemble systems and cancellable transformations for multibiometric-based identification.
IET Biom., 2014

Applying semi-supervised learning in hierarchical multi-label classification.
Expert Syst. Appl., 2014

Filter-based optimization techniques for selection of feature subsets in ensemble systems.
Expert Syst. Appl., 2014

Applying the self-training semi-supervised learning in hierarchical multi-label methods.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Confidence factor and feature selection for semi-supervised multi-label classification methods.
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.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy clustering algorithm with H-operator applied to problems with interval-based data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Meta-learning and Multi-objective Optimization to Design Ensemble of Classifiers.
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.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Investigating fusion approaches in multi-biometric cancellable recognition.
Expert Syst. Appl., 2013

A comparative analysis of dissimilarity measures for clustering categorical data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using confidence values in multi-label classification problems with semi-supervised learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using genetic algorithms and ensemble systems in online cancellable signature recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Characterization measures of ensemble systems using a meta-learning approach.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

An empirical analysis of cancellable transformations in a behavioural biometric modality.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Particle Swarm Intelligence as Feature Selector in Ensemble Systems.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
ReinSel: A class-based mechanism for feature selection in ensemble of classifiers.
Appl. Soft Comput., 2012

A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

An Experimental Study of Ensemble Systems on Cancellable Iris.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Using semi-supervised learning in multi-label classification problems.
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.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

New Approach for Clustering Relational Data Based on Relationship and Attribute Information.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data.
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.
Int. J. Hybrid Intell. Syst., 2011

Ensembles of ARTMAP-based neural networks: an experimental study.
Appl. Intell., 2011

Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Combining different ways to generate diversity in bagging models: An evolutionary approach.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A hierarchical approach to represent relational data applied to clustering tasks.
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.
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.
Proceedings of the Database and Expert Systems Applications, 2011

Optimization techniques for the selection of members and attributes in ensemble systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles.
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.
Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010

Web log data clustering for a multi-agent recommendation system.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Analyzing Classification Methods in Multi-label Tasks.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Ensemble-Based Methods for Cancellable Biometrics.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Using a reinforcement-based feature selection method in Classifier Ensemble.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Evaluating classification methods applied to multi-label tasks in different domains.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach.
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.
Proceedings of the International Joint Conference on Neural Networks, 2009

The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensembles.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Brazilian Symposium on Neural Networks (SBRN2006).
Neurocomputing, 2008

An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks.
Neurocomputing, 2008

Applying Static and Dynamic Weight Measures in Ensemble Systems.
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.
Proceedings of the International Joint Conference on Neural Networks, 2008

Investigating the influence of RePART in ensemble systems designed by boosting.
Proceedings of the International Joint Conference on Neural Networks, 2008

An analysis of data distribution methods in classifier combination systems.
Proceedings of the International Joint Conference on Neural Networks, 2008

Using ARTMAP-Based Ensemble Systems Designed by Three Variants of Boosting.
Proceedings of the Artificial Neural Networks, 2008

Using Feature Distribution Methods in Ensemble Systems Combined by Fusion and Selection-Based Methods.
Proceedings of the Artificial Neural Networks, 2008

A Class-Based Feature Selection Method for Ensemble Systems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Accuracy and Diversity in Ensemble Systems Composed of ARTMAP-Based Models.
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.
Pattern Recognit. Lett., 2007

Investigating the use of a multi-agent system for knowledge discovery in databases.
Int. J. Hybrid Intell. Syst., 2007

Using an Evolutionary Agent-Based System for Classification Tasks.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2007

Investigating the Use of an Evolutionary Agent-based System for Classification Tasks.
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.
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.
Proceedings of the Artificial Neural Networks, 2007

Particle Detection on Election Microscopy Micrographs Using Multi-Classifier Systems.
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.
Int. J. Hybrid Intell. Syst., 2006

A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity.
Proceedings of the SBRN 2006, 2006

A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks.
Proceedings of the SBRN 2006, 2006

Applying Weights in the Functioning of the Dynamic Classifier Selection Method.
Proceedings of the SBRN 2006, 2006

Using Accuracy and Diversity to Select Classifiers to Build Ensembles.
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.
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.
Proceedings of the International Joint Conference on Neural Networks, 2006

Using Weighted Combination-Based Methods in Ensembles with Different Levels of Diversity.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Simulating Working Environments Through the Use of Personality-Based Agents.
Proceedings of the Advances in Artificial Intelligence, 2006

Carcara: A Multi-agent System for Web Mining Using Adjustable User Profile and Dynamic Grouping.
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.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

GNeurAge: An Evolutionary Agent-Based System for Classification Tasks.
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006

A flexible framework for representing personality in agents.
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.
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.
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.
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.
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.
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.
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.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Towards a Methodology for Developing Agent-Based Simulations: The MASim Methodology.
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.
Univers. Access Inf. Soc., 2003

Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System.
Int. J. Neural Syst., 2003

2002
An Investigation of Fuzzy Combiners applied to a Hybrid Multi-neural System.
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

2001
Improving Artmap Learning Through Variable Vigilance.
Int. J. Neural Syst., 2001

2000
An Investigation of the Effects of Variable Vigilance within the RePART Neuro-Fuzzy Network.
J. Intell. Robotic Syst., 2000

The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems.
Connect. Sci., 2000

1999
RePART: A Modified Fuzzy ARTMAP for Pattern Recognition.
Proceedings of the Computational Intelligence, 1999


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