| Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles AMP Canuto, MCC Abreu, L de Melo Oliveira, JC Xavier Jr, AM Santos Pattern recognition letters 28 (4), 472-486, 2007 | 134 | 2007 |
| Using accuracy and diversity to select classifiers to build ensembles RGF Soares, A Santana, AMP Canuto, MCP de Souto The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 105 | 2006 |
| Combining neural networks and fuzzy logic for applications in character recognition. AMP Canuto University of Kent at Canterbury, 2001 | 89 | 2001 |
| Investigating fusion approaches in multi-biometric cancellable recognition AMP Canuto, F Pintro, JC Xavier-Junior Expert Systems with applications 40 (6), 1971-1980, 2013 | 84 | 2013 |
| A comparative analysis of classification methods to multi-label tasks in different application domains AM Santos, AMP Canuto, AF Neto International journal of computer Information systems and Industrial …, 2011 | 72 | 2011 |
| A comparative analysis of genetic algorithm and ant colony optimization to select attributes for an heterogeneous ensemble of classifiers LEA Santana, L Silva, AMP Canuto, F Pintro, KO Vale IEEE congress on evolutionary computation, 1-8, 2010 | 64 | 2010 |
| Filter-based optimization techniques for selection of feature subsets in ensemble systems LEAS Santana, AM de Paula Canuto Expert Systems with Applications 41 (4), 1622-1631, 2014 | 62 | 2014 |
| A dynamic classifier selection method to build ensembles using accuracy and diversity A Santana, RGF Soares, AMP Canuto, MCP de Souto 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06), 36-41, 2006 | 59 | 2006 |
| Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study DSC Nascimento, ALV Coelho, AMP Canuto Neurocomputing 138, 347-357, 2014 | 58 | 2014 |
| Combining multiple algorithms in classifier ensembles using generalized mixture functions VS Costa, ADS Farias, B Bedregal, RHN Santiago, AMP Canuto Neurocomputing 313, 402-414, 2018 | 53 | 2018 |
| A generalized average linkage criterion for Hierarchical Agglomerative Clustering LR Emmendorfer, AM de Paula Canuto Applied Soft Computing 100, 106990, 2021 | 44 | 2021 |
| A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function AMP Canuto, DSC Nascimento The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 44 | 2012 |
| Empirical comparison of dynamic classifier selection methods based on diversity and accuracy for building ensembles MCP de Souto, RGF Soares, A Santana, AMP Canuto 2008 IEEE international joint conference on neural networks (IEEE world …, 2008 | 37 | 2008 |
| An interval-based framework for fuzzy clustering applications L Silva, R Moura, AMP Canuto, RHN Santiago, B Bedregal IEEE Transactions on Fuzzy Systems 23 (6), 2174-2187, 2015 | 35 | 2015 |
| A 3D serious game for medical students training in clinical cases RM de Lima, A de Medeiros Santos, FMM Neto, AF de Sousa Neto, ... 2016 ieee international conference on serious games and applications for …, 2016 | 29 | 2016 |
| A comparative analysis of feature selection methods for ensembles with different combination methods LEA Santana, DF de Oliveira, AMP Canuto, MCP de Souto 2007 International Joint Conference on Neural Networks, 643-648, 2007 | 29 | 2007 |
| Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles DF de Oliveira, AMP Canuto, MCP de Souto 2009 International Joint Conference on Neural Networks, 2339-2346, 2009 | 28 | 2009 |
| An unsupervised-based dynamic feature selection for classification tasks RO Nunes, CA Dantas, AMP Canuto, JC Xavier-Júnior 2016 International Joint Conference on Neural Networks (IJCNN), 4213-4220, 2016 | 25 | 2016 |
| Applying the coral reefs optimization algorithm to clustering problems IG Medeiros, JC Xavier, AMP Canuto 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 25 | 2015 |
| Applying semi-supervised learning in hierarchical multi-label classification A Santos, A Canuto Expert systems with applications 41 (14), 6075-6085, 2014 | 25 | 2014 |
João Carlos Xavier JúniorProfessor Adjunto 3, Universidade Federal do RNПодтвержден адрес электронной почты в домене imd.ufrn.br
