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ORCIDAnne M. P. Canuto
Anne Magály de Paula Canuto
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- affiliation: Federal University of Rio Grande do Norte, UFRN, Natal, Brazil
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2020 – today
- 2024
[j42]Huliane da Silva, Benjamín René Callejas Bedregal, Anne M. P. Canuto, Thiago V. V. Batista, Ronildo P. A. Moura:
A New Approach to Define the Number of Clusters for Partitional Clustering Algorithms. TFSS 3(1): 67-87 (2024)- [c117]Anne M. P. Canuto, Jhoseph Kelvin Lopes de Jesus, Daniel S. A. de Araujo:
Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front. IJCNN 2024: 1-8 - 2023
- [c116]Arthur Medeiros
, Arthur C. Gorgônio, Karliane M. Ovidio Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto:
FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence. BRACIS (3) 2023: 95-109 - [c115]Jesaías Carvalho Pereira Silva, Anne Magály de Paula Canuto, Araken de Medeiros Santos:
The Dynamic Selection of Combination Methods in Classifier Ensembles by Region of Competence. ICANN (9) 2023: 425-438 - [c114]Arthur C. Gorgônio, Anne M. P. Canuto, Arthur Medeiros, Karliane M. O. Vale, Flavius L. Gorgônio:
Two Efficient Training Strategies for DyDaSL: A Dynamic Data Stream Learner Framework with Semi-Supervised Learning. ICMLA 2023: 2000-2005 - 2022
- [j41]Karliane M. O. Vale, Arthur Costa Gorgônio, Flavius da Luz e Gorgônio, Anne Magály de Paula Canuto:
An Efficient Approach to Select Instances in Self-Training and Co-Training Semi-Supervised Methods. IEEE Access 10: 7254-7276 (2022) - [j40]Cephas A. S. Barreto, Arthur Costa Gorgônio, João C. Xavier Junior, Anne Magály de Paula Canuto:
Applying Efficient Selection Techniques of Unlabeled Instances for Wrapper-Based Semi-Supervised Methods. IEEE Access 10: 43535-43551 (2022) - [c113]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:
An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments. BRACIS (1) 2022: 30-44 - [c112]Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior, Rômulo de Oliveira Nunes:
An exploratory analysis of a dynamic ensemble structure using an automatic decision process. ICMLA 2022: 872-875 - [c111]Marcilio De Oliveira Meira, Anne Magály de Paula Canuto, Bruno Motta de Carvalho, Roberto Levi Cavalcanti Jales:
Evaluating Brain Regions That Characterize Attention Deficit/Hyperactivity Disorder Based on SPECT Images and Machine Learning Models. IJCNN 2022: 1-8 - 2021
- [j39]Robercy Alves da Silva, Anne Magály de Paula Canuto, Cephas A. S. Barreto, João Carlos Xavier Junior:
Automatic Recommendation Method for Classifier Ensemble Structure Using Meta-Learning. IEEE Access 9: 106254-106268 (2021) - [j38]Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method. Appl. Soft Comput. 100: 106951 (2021) - [j37]Leonardo Ramos Emmendorfer, Anne Magály de Paula Canuto:
A generalized average linkage criterion for Hierarchical Agglomerative Clustering. Appl. Soft Comput. 100: 106990 (2021) - [j36]Antonino Feitosa Neto, Anne M. P. Canuto:
EOCD: An ensemble optimization approach for concept drift applications. Inf. Sci. 561: 81-100 (2021) - [j35]André Carlos Ponce de Leon Ferreira de Carvalho, Anne Magály de Paula Canuto, Graçaliz Pereira Dimuro:
Preface. Nat. Comput. 20(4): 751-752 (2021) - [j34]Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira:
A study of model and hyper-parameter selection strategies for classifier ensembles: a robust analysis on different optimization algorithms and extended results. Nat. Comput. 20(4): 805-819 (2021) - [c110]Yago N. Araújo, Karliane M. O. Vale, Flavius L. Gorgônio, Anne Magály de Paula Canuto, Arthur Costa Gorgônio, Cephas A. S. Barreto:
A Data Stratification Process for Instances Selection Applied to Co-training Semi-supervised Learning Algorithm. IJCNN 2021: 1-8 - 2020
- [j33]Liliane R. da Silva, Heloina Alves Arnaldo, Huliane da Silva, Ronildo P. A. Moura, Benjamín R. C. Bedregal, Anne Magály de Paula Canuto:
Two deterministic selection methods for the initial centers in fuzzy c-means based algorithms. Intell. Data Anal. 24(4): 779-798 (2020) - [j32]Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto:
Improving multi-view facial expression recognition through two novel texture-based feature representations. Intell. Data Anal. 24(6): 1455-1476 (2020) - [j31]Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto:
Determining Subcategories of Facial Expressions for Improved Performance in Practical Applications. Int. J. Comput. Intell. Appl. 19(1): 2050004 (2020) - [j30]João Carlos Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves:
Two approaches for clustering algorithms with relational-based data. Knowl. Inf. Syst. 62(3): 1229-1253 (2020) - [j29]Anne M. P. Canuto, Antonino Feitosa Neto, Huliane M. Silva, João C. Xavier Junior, Cephas A. S. Barreto:
Population-based bio-inspired algorithms for cluster ensembles optimization. Nat. Comput. 19(3): 515-532 (2020) - [c109]Cephas A. S. Barreto, Arthur C. Gorgônio, Anne M. P. Canuto, João Carlos Xavier Jr.:
A Distance-Weighted Selection of Unlabelled Instances for Self-training and Co-training Semi-supervised Methods. BRACIS (2) 2020: 352-366 - [c108]Alba Sandyra Bezerra Lopes, Anne Magály de Paula Canuto, Monica Magalhães Pereira:
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs. ICMLA 2020: 201-204 - [c107]Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João Carlos Xavier Jr.:
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles. ICMLA 2020: 535-538 - [c106]Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves:
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. ICMLA 2020: 685-692 - [c105]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:
Two Novel Approaches for Automatic Labelling in Semi-Supervised Methods. IJCNN 2020: 1-8 - [c104]Arthur Costa Gorgônio, Anne Magály de Paula Canuto, Karliane M. O. Vale, Flavius L. Gorgônio:
A Semi-supervised Based Framework for Data Stream Classification in Non-Stationary Environments. IJCNN 2020: 1-8 - [c103]Samuel da S. Oliveira, Anne M. P. Canuto, Bruno M. Carvalho, Márcio Eduardo Kreutz:
Machine Learning Based Seismic Region Classification. IJCNN 2020: 1-6 - [c102]Karliane M. O. Vale, Flavius L. Gorgônio, Yago N. Araújo, Arthur C. Gorgônio, Anne Magály de Paula Canuto:
A Co-Training-based Algorithm Using Confidence Values to Select Instances. IJCNN 2020: 1-7 - [c101]Samuel da Silva Oliveira, Guilherme Eglé P. Lima Silva, Arthur C. Gorgônio, Cephas A. S. Barreto, Anne M. P. Canuto, Bruno M. Carvalho:
Team Recommendation for the Pokémon GO Game Using Optimization Approaches. SBGames 2020: 163-170 - [i2]Joris Guérin, Anne Magály de Paula Canuto, Luiz Marcos Garcia Gonçalves:
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering. CoRR abs/2009.14178 (2020)
2010 – 2019
- 2019
- [c100]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Instance Hardness as a Decision Criterion on Dynamic Ensemble Structure. BRACIS 2019: 108-113 - [c99]Danilo Rodrigo Cavalcante Bandeira, Anne Magály de Paula Canuto, Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst, Cheng Li, Diego Silveira Costa Nascimento:
Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction. BRACIS 2019: 126-131 - [c98]Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method. BRACIS 2019: 180-185 - [c97]Antonino Feitosa Neto, João Carlos Xavier Junior, Anne M. P. Canuto, Alexandre C. M. Oliveira:
A Comparative Study on Automatic Model and Hyper-Parameter Selection in Classifier Ensembles. BRACIS 2019: 323-328 - [c96]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:
A Data Stratification Process for Instances Selection in Semi-Supervised Learning. IJCNN 2019: 1-8 - 2018
- [j28]Antonino Feitosa Neto, Anne M. P. Canuto:
An exploratory study of mono and multi-objective metaheuristics to ensemble of classifiers. Appl. Intell. 48(2): 416-431 (2018) - [j27]Jose Augusto S. Lustosa Filho, Anne M. P. Canuto, Regivan Hugo Nunes Santiago:
Investigating the impact of selection criteria in dynamic ensemble selection methods. Expert Syst. Appl. 106: 141-153 (2018) - [j26]Isaac de L. Oliveira Filho, Anne M. P. Canuto, Benjamín R. C. Bedregal, Francisco Dantas:
Increasing data accuracy in biometric authentication systems: An exploratory study using papilio algorithm on fuzzy schemes. Int. J. Hybrid Intell. Syst. 14(4): 239-253 (2018) - [j25]Valdigleis S. Costa, Antonio Diego Silva Farias, Benjamín R. C. Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto:
Combining multiple algorithms in classifier ensembles using generalized mixture functions. Neurocomputing 313: 402-414 (2018) - [j24]Antonino Feitosa Neto, Anne M. P. Canuto, João Carlos Xavier Jr.:
Hybrid Metaheuristics to the Automatic Selection of Features and Members of Classifier Ensembles. Inf. 9(11): 268 (2018) - [j23]Ana Carolina Lorena, Anne Magály de Paula Canuto:
Interdisciplinary Data Analysis. New Gener. Comput. 36(1): 1-3 (2018) - [j22]Emmanuelly L. Souza, Regivan H. N. Santiago, Anne M. P. Canuto, Rômulo de O. Nunes:
Gradual Complex Numbers and Their Application for Performance Evaluation Classifiers. IEEE Trans. Fuzzy Syst. 26(2): 1058-1065 (2018) - [c95]Rômulo de Oliveira Nunes, Carine Azevedo Dantas, Anne Magály de Paula Canuto, João Carlos Xavier Junior:
Dynamic Feature Selection for Classifier Ensembles. BRACIS 2018: 468-473 - [c94]Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto:
Fusion of Local Descriptors for Multi-view Facial Expression Recognition. BRACIS 2018: 570-575 - [c93]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.:
Evaluating the Dynamicity of Feature and Individual Classifiers Selection in Ensembles of Classifiers. IJCNN 2018: 1-8 - [c92]Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
Dynamic Feature Selection Based on Pareto Front Optimization. IJCNN 2018: 1-8 - [c91]Diego Silveira Costa Nascimento, Danilo R. C. Bandeira, Anne M. P. Canuto, Daniel Araújo:
Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers. IJCNN 2018: 1-8 - [c90]Robercy Alves da Silva, Anne Magály de Paula Canuto, João Carlos Xavier Junior, Teresa Bernarda Ludermir:
Using Meta-learning in the Selection of the Combination Method of a Classifier Ensemble. IJCNN 2018: 1-8 - [c89]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:
Automatic Adjustment of Confidence Values in Self-training Semi-supervised Method. IJCNN 2018: 1-8 - [i1]Valdigleis S. Costa, Antonio Diego Silva Farias, Benjamín R. C. Bedregal, Regivan H. N. Santiago, Anne Magály de Paula Canuto:
Combining Multiple Algorithms in Classifier Ensembles using Generalized Mixture Functions. CoRR abs/1806.01540 (2018) - 2017
- [j21]Antonino Feitosa Neto, Anne M. P. Canuto, Carine A. Dantas:
Multiobjective Optimization Techniques for Selecting Important Metrics in the Design of Ensemble Systems. Comput. Intell. 33(1): 119-143 (2017) - [c88]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João Carlos Xavier Jr.:
Investigating the Impact of Similarity Metrics in an Unsupervised-Based Feature Selection Method. BRACIS 2017: 55-60 - [c87]Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
A Feature Selection Approach Based on Information Theory for Classification Tasks. ICANN (2) 2017: 359-367 - [c86]Carine A. Dantas, Rômulo de O. Nunes, Anne M. P. Canuto, João C. Xavier Junior:
Dynamic Feature Selection Based on Clustering Algorithm and Individual Similarity. ICANN (2) 2017: 467-474 - [c85]Antonino Feitosa Neto, Anne M. P. Canuto, João C. Xavier, Cephas A. S. Barreto:
A multi-agent metaheuristic hybridization to the automatic design of ensemble systems. IJCNN 2017: 3967-3974 - 2016
- [c84]Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João C. Xavier:
A Bio-inspired Optimization Technique for Cluster Ensembles Optimization. BRACIS 2016: 253-258 - [c83]Jhoseph Jesus, Daniel Araújo, Anne M. P. Canuto:
Fusion Approaches of Feature Selection Algorithms for Classification Problems. BRACIS 2016: 379-384 - [c82]Huliane M. Silva, Anne M. P. Canuto, Inácio Gomes Medeiros, João Carlos Xavier Jr.:
Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm. ICANN (2) 2016: 275-282 - [c81]Rômulo de O. Nunes, Carine A. Dantas, Anne M. P. Canuto, João C. Xavier Junior:
An unsupervised-based dynamic feature selection for classification tasks. IJCNN 2016: 4213-4220 - [c80]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:
A 3D serious game for medical students training in clinical cases. SeGAH 2016: 1-9 - 2015
- [j20]Liliane R. da Silva, Ronildo P. A. Moura, Anne M. P. Canuto, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
An Interval-Based Framework for Fuzzy Clustering Applications. IEEE Trans. Fuzzy Syst. 23(6): 2174-2187 (2015) - [c79]Marcelo Damasceno, Anne M. P. Canuto, Norman Poh:
Multi-privacy biometric protection scheme using ensemble systems. IJCNN 2015: 1-8 - [c78]Jose Augusto S. Lustosa Filho, Anne M. P. Canuto, João Carlos Xavier Jr.:
An analysis of diversity measures for the dynamic design of ensemble of classifiers. IJCNN 2015: 1-8 - [c77]Inácio Gomes Medeiros, João Carlos Xavier Jr., Anne M. P. Canuto:
Applying the Coral Reefs Optimization algorithm to clustering problems. IJCNN 2015: 1-8 - 2014
- [j19]Laura Emmanuella A. dos S. Santana, Anne Magály de Paula Canuto:
Filter-based optimization techniques for selection of feature subsets in ensemble systems. Expert Syst. Appl. 41(4): 1622-1631 (2014) - [j18]Araken M. Santos, Anne M. P. Canuto:
Applying semi-supervised learning in hierarchical multi-label classification. Expert Syst. Appl. 41(14): 6075-6085 (2014) - [j17]Anne Magály de Paula Canuto, Michael C. Fairhurst, Fernando Pintro:
Ensemble systems and cancellable transformations for multibiometric-based identification. IET Biom. 3(1): 29-40 (2014) - [j16]Anne M. P. Canuto, Fernando Pintro, Michael C. Fairhurst:
An effective template protection method for face and voice cancellable identification. Int. J. Hybrid Intell. Syst. 11(3): 157-166 (2014) - [j15]Diego Silveira Costa Nascimento, André L. V. Coelho, Anne M. P. Canuto:
Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study. Neurocomputing 138: 347-357 (2014) - [c76]Diego Silveira Costa Nascimento, Anne M. P. Canuto, André L. V. Coelho:
An Empirical Analysis of Meta-learning for the Automatic Choice of Architecture and Components in Ensemble Systems. BRACIS 2014: 1-6 - [c75]Antonino Feitosa Neto, Anne M. P. Canuto:
Meta-learning and Multi-objective Optimization to Design Ensemble of Classifiers. BRACIS 2014: 91-96 - [c74]Liliane R. da Silva, Ronildo P. A. Moura, Anne M. P. Canuto, Regivan Hugo Nunes Santiago, Benjamín R. C. Bedregal:
Fuzzy clustering algorithm with H-operator applied to problems with interval-based data. FUZZ-IEEE 2014: 237-244 - [c73]Fillipe M. Rodrigues, Campus Joao Camara, Anne M. P. Canuto, Araken M. Santos:
Confidence factor and feature selection for semi-supervised multi-label classification methods. IJCNN 2014: 864-871 - [c72]Araken M. Santos, Anne M. P. Canuto:
Applying the self-training semi-supervised learning in hierarchical multi-label methods. IJCNN 2014: 872-879 - [c71]Marcelo Damasceno, Anne M. P. Canuto:
An empirical analysis of ensemble systems in cancellable behavioural biometrics: A touch screen dataset. IJCNN 2014: 2661-2668 - 2013
- [j14]Anne M. P. Canuto, Fernando Pintro, João C. Xavier Junior:
Investigating fusion approaches in multi-biometric cancellable recognition. Expert Syst. Appl. 40(6): 1971-1980 (2013) - [c70]Laura Emmanuella A. Santana, Anne M. P. Canuto:
Particle Swarm Intelligence as Feature Selector in Ensemble Systems. BRACIS 2013: 89-94 - [c69]Antonino Feitosa Neto, Anne M. P. Canuto, Teresa Bernarda Ludermir:
Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach. IEEE Congress on Evolutionary Computation 2013: 789-796 - [c68]Marcelo Damasceno, Anne M. P. Canuto:
An empirical analysis of cancellable transformations in a behavioural biometric modality. HIS 2013: 149-154 - [c67]Isaac de L. Oliveira Filho, Otaciana G. R. Santiago, Anne M. P. Canuto, Benjamín René Callejas Bedregal:
A Comparative Analysis of Cryptographic Algorithms and Transformation Functions for Biometric Data. ICMLA (2) 2013: 255-260 - [c66]Regina R. Parente, Anne M. P. Canuto, João Carlos Xavier Jr.:
Characterization measures of ensemble systems using a meta-learning approach. IJCNN 2013: 1-8 - [c65]Fernando Pintro, Anne M. P. Canuto, Michael C. Fairhurst:
Using genetic algorithms and ensemble systems in online cancellable signature recognition. IJCNN 2013: 1-8 - [c64]Fillipe M. Rodrigues, Araken de Medeiros Santos, Anne M. P. Canuto:
Using confidence values in multi-label classification problems with semi-supervised learning. IJCNN 2013: 1-8 - [c63]João Carlos Xavier Jr., Anne M. P. Canuto, Noriedson D. Almeida, Luiz Marcos Garcia Gonçalves:
A comparative analysis of dissimilarity measures for clustering categorical data. IJCNN 2013: 1-8 - 2012
- [j13]Anne M. P. Canuto, Karliane M. O. Vale, Antonino Feitosa Neto, Alberto Signoretti:
ReinSel: A class-based mechanism for feature selection in ensemble of classifiers. Appl. Soft Comput. 12(8): 2517-2529 (2012) - [c62]Isaac de L. Oliveira Filho, Benjamín R. C. Bedregal, Anne M. P. Canuto:
An Investigation of Ensemble Systems Applied to Encrypted and Cancellable Biometric Data. ICANN (2) 2012: 180-188 - [c61]João C. Xavier Junior, Anne M. P. Canuto, Luiz M. G. Gonçalves, Luiz A. H. G. de Oliveira:
New Approach for Clustering Relational Data Based on Relationship and Attribute Information. ICANN (2) 2012: 451-458 - [c60]Laura Emmanuella A. Santana, Anne M. P. Canuto:
Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems. ICANN (1) 2012: 701-709 - [c59]Anne M. P. Canuto, Diego Silveira Costa Nascimento:
A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function. IJCNN 2012: 1-8 - [c58]Araken M. Santos, Anne M. P. Canuto:
Using semi-supervised learning in multi-label classification problems. IJCNN 2012: 1-8 - [c57]Fernando Pintro, Anne M. P. Canuto:
An Experimental Study of Ensemble Systems on Cancellable Iris. SBRN 2012: 202-207 - [c56]Givanaldo R. de Souza, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg, Anne M. P. Canuto:
A Multiagent Approach for Metaheuristics Hybridization Applied to the Traveling Salesman Problem. SBRN 2012: 208-213 - 2011
- [j12]Anne M. P. Canuto, Araken M. Santos, Rogério R. Vargas:
Ensembles of ARTMAP-based neural networks: an experimental study. Appl. Intell. 35(1): 1-17 (2011) - [j11]Anne M. P. Canuto, Michael C. Fairhurst, Fernando Pintro, João C. Xavier Junior, Antonino Feitosa Neto, Luiz Marcos Garcia Gonçalves:
Classifier ensembles and optimization techniques to improve the performance of cancellable fingerprint. Int. J. Hybrid Intell. Syst. 8(3): 143-154 (2011) - [c55]Antonino Feitosa Neto, Anne M. P. Canuto, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg:
Optimization techniques for the selection of members and attributes in ensemble systems. IEEE Congress on Evolutionary Computation 2011: 1912-1919 - [c54]João C. Xavier Junior, Alberto Signoretti, Anne M. P. Canuto, André M. C. Campos, Luiz Marcos Gonçalves, Sérgio V. Fialho:
Introducing Affective Agents in Recommendation Systems Based on Relational Data Clustering. DEXA (2) 2011: 303-310 - [c53]Alberto Signoretti, Antonino Feitosa Neto, André M. C. Campos, Anne M. P. Canuto, João C. Xavier Junior, Sérgio V. Fialho:
Using an Affective Attention Focus for Improving the Reasoning Process and Behavior of Intelligent Agents. IAT 2011: 97-100 - [c52]Laura Emmanuella A. Santana, Anne M. P. Canuto, Ligia Silva:
Bio-inspired meta-heuristic as feature selector in ensemble systems: A comparative analysis. IJCNN 2011: 1112-1119 - [c51]Diego Silveira Costa Nascimento, Anne Magály de Paula Canuto, Ligia Maria Moura e Silva, André Luís Vasconcelos Coelho:
Combining different ways to generate diversity in bagging models: An evolutionary approach. IJCNN 2011: 2235-2242 - [c50]João C. Xavier Junior, Anne M. P. Canuto, Alex Alves Freitas, Luiz M. G. Gonçalves, Carlos Nascimento Silla Jr.:
A hierarchical approach to represent relational data applied to clustering tasks. IJCNN 2011: 3055-3062 - 2010
- [c49]Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto, Fernando Pintro, Karliane O. Vale:
A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c48]Araken M. Santos, Anne Magály de Paula Canuto, Antonino Feitosa Neto:
Evaluating classification methods applied to multi-label tasks in different domains. HIS 2010: 61-66 - [c47]Karliane O. Vale, Antonino Feitosa Neto, Anne M. P. Canuto:
Using a reinforcement-based feature selection method in Classifier Ensemble. HIS 2010: 213-218 - [c46]Araken M. Santos, Laura Emmanuella A. Santana, Anne M. P. Canuto:
Analyzing Classification Methods in Multi-label Tasks. ICANN (3) 2010: 137-142 - [c45]Anne M. P. Canuto, Michael C. Fairhurst, Laura Emmanuella A. Santana, Fernando Pintro, Antonino Feitosa Neto:
Ensemble-Based Methods for Cancellable Biometrics. ICANN (1) 2010: 411-414 - [c44]João Carlos Xavier Jr., Alex Alves Freitas, Anne M. P. Canuto, Luiz Marcos Gonçalves:
Web log data clustering for a multi-agent recommendation system. ICMLC 2010: 471-476 - [c43]Alberto Signoretti, Antonino Feitosa Neto, André M. C. Campos, Anne M. P. Canuto, Sérgio V. Fialho:
Increasing the Eciency of NPCs Using a Focus of Attention Based on Emotions and Personality. SBGames 2010: 171-181 - [c42]Anne M. P. Canuto, Fernando Pintro, Antonino Feitosa Neto, Michael C. Fairhurst:
Enhancing Performance of Cancellable Fingerprint Biometrics Using Classifier Ensembles. SBRN 2010: 55-60 - [c41]Karliane O. Vale, Antonino Feitosa Neto, Anne M. P. Canuto, Filipe G. Dias:
Static and Dynamic Weights in Ensemble Systems Built by Class-Based Feature Selection Methods. SBRN 2010: 61-66
2000 – 2009
- 2009
- [c40]