| A dynamic overproduce-and-choose strategy for the selection of classifier ensembles EM Dos Santos, R Sabourin, P Maupin Pattern recognition 41 (10), 2993-3009, 2008 | 197 | 2008 |
| Overfitting cautious selection of classifier ensembles with genetic algorithms EM Dos Santos, R Sabourin, P Maupin Information Fusion 10 (2), 150-162, 2009 | 85 | 2009 |
| Automatic classification of cross-site scripting in web pages using document-based and URL-based features AE Nunan, E Souto, EM Dos Santos, E Feitosa 2012 IEEE symposium on computers and communications (ISCC), 000702-000707, 2012 | 80 | 2012 |
| Single and multi-objective genetic algorithms for the selection of ensemble of classifiers EM Dos Santos, R Sabourin, P Maupin The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 54 | 2006 |
| Nudity detection based on image zoning C Santos, EM dos Santos, E Souto 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 26 | 2012 |
| An overview of unsupervised drift detection methods RN Gemaque, AFJ Costa, R Giusti, EM Dos Santos Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (6 …, 2020 | 24 | 2020 |
| Feature subset selection for automatically classifying anuran calls using sensor networks JG Colonna, AD Ribas, EM dos Santos, EF Nakamura The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 22 | 2012 |
| Pareto analysis for the selection of classifier ensembles EM Dos Santos, R Sabourin, P Maupin Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 22 | 2008 |
| Teoria e aplicação de support vector machines à aprendizagem e reconhecimento de objetos baseado na aparência. EM SANTOS Universidade Federal de Campina Grande, 2002 | 22 | 2002 |
| A drift detection method based on dynamic classifier selection F Pinagé, EM dos Santos, J Gama Data Mining and Knowledge Discovery 34 (1), 50-74, 2020 | 20 | 2020 |
| Ambiguity-guided dynamic selection of ensemble of classifiers EM Dos Santos, R Sabourin, P Maupin 2007 10th International Conference on Information Fusion, 1-8, 2007 | 18 | 2007 |
| Static and dynamic overproduction and selection of classifier ensembles with genetic algorithms E Miranda Dos Santos École de technologie supérieure, 2008 | 16 | 2008 |
| A drift detection method based on active learning AFJ Costa, RAS Albuquerque, EM Dos Santos 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 13 | 2018 |
| Mutual singular spectrum analysis for bioacoustics classification BB Gatto, JG Colonna, EM dos Santos, EF Nakamura 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 12 | 2017 |
| Discriminative canonical correlation analysis network for image classification BB Gatto, EM dos Santos 2017 IEEE International Conference on Image Processing (ICIP), 4487-4491, 2017 | 12 | 2017 |
| Classification systems in dynamic environments: an overview FA Pinage, EM dos Santos, JMP da Gama Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (5 …, 2016 | 12 | 2016 |
| Aprendizagem de máquina para segurança em redes de computadores: Métodos e aplicações M Henke, C Santos, E Nunan, E Feitosa, E dos Santos, E Souto Minicursos do XI Simpósio Brasileiro de Segurança da Informação e de …, 2011 | 12 | 2011 |
| Appearance-based object recognition using support vector machines EM dos Santos, HM Gomes Proceedings XIV Brazilian Symposium on Computer Graphics and Image …, 2001 | 12 | 2001 |
| Tensor analysis with n-mode generalized difference subspace BB Gatto, EM dos Santos, AL Koerich, K Fukui, WSS Junior Expert Systems with Applications 171, 114559, 2021 | 11 | 2021 |
| A deep network model based on subspaces: A novel approach for image classification BB Gatto, LS de Souza, EM Dos Santos 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 11 | 2017 |
