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 | 214 | 2008 |
Overfitting cautious selection of classifier ensembles with genetic algorithms EM Dos Santos, R Sabourin, P Maupin Information Fusion 10 (2), 150-162, 2009 | 110 | 2009 |
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 | 105 | 2020 |
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 | 95 | 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 | 60 | 2006 |
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 | 49 | 2020 |
Nudity detection based on image zoning C Santos, EM dos Santos, E Souto 2012 11th International Conference on Information Science, Signal Processing …, 2012 | 30 | 2012 |
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 | 24 | 2012 |
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 | 23 | 2018 |
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 | 23 | 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 | 23 | 2002 |
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 | 21 | 2021 |
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 | 21 | 2007 |
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 | 19 | 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 | 18 | 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 | 17 | 2016 |
Applying self-supervised representation learning for emotion recognition using physiological signals KG Montero Quispe, DMS Utyiama, EM Dos Santos, HABF Oliveira, ... Sensors 22 (23), 9102, 2022 | 16 | 2022 |
Filtering empty camera trap images in embedded systems F Cunha, EM dos Santos, R Barreto, JG Colonna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
Static and dynamic overproduction and selection of classifier ensembles with genetic algorithms E Miranda Dos Santos École de technologie supérieure, 2008 | 16 | 2008 |
A semi-supervised convolutional neural network based on subspace representation for image classification BB Gatto, LS Souza, EM dos Santos, K Fukui, WS S. Júnior, ... EURASIP Journal on Image and Video Processing 2020, 1-21, 2020 | 14 | 2020 |