Anne M. P. Canuto
Orcid: 0000-0002-3684-3814Affiliations:
- Federal University of Rio Grande do Norte, UFRN, Natal, Brazil
According to our database1,
Anne M. P. Canuto
authored at least 164 papers
between 1999 and 2024.
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Online presence:
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Bibliography
2024
A New Approach to Define the Number of Clusters for Partitional Clustering Algorithms.
TFSS, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024
2023
Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023
The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
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.
IEEE Access, 2022
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods.
IEEE Access, 2022
Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models.
Proceedings of the International Joint Conference on Neural Networks, 2022
An exploratory analysis of a dynamic ensemble structure using an automatic decision process.
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.
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.
Nat. Comput., 2021
Inf. Sci., 2021
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning.
IEEE Access, 2021
A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Nat. Comput., 2020
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
Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
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.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020
2019
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
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
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
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
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
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
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
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
Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
IEEE Trans. Fuzzy Syst., 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
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
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
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
Expert Syst. Appl., 2013
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
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
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
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
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
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
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
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
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
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010
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
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks.
Neurocomputing, 2008
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
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
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
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
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
Int. J. Hybrid Intell. Syst., 2007
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
Proceedings of the SBRN 2006, 2006
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
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
Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS 2006), 2006
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006
2005
Proceedings of the Third Latin American Web Congress (LA-Web 2005), 1 October, 2005
A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
An empirical comparison of individual machine learning techniques and ensemble approaches in protein structural class prediction.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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
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
A comparative investigation of the RePART neural network in pattern recognition tasks.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004
2003
Univers. Access Inf. Soc., 2003
Int. J. Neural Syst., 2003
Proceedings of the International Joint Conference on Neural Networks, 2003
2002
Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002
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
Proceedings of the Computational Intelligence, 1999