| Dynamic classifier selection: Recent advances and perspectives RMO Cruz, R Sabourin, GDC Cavalcanti Information Fusion 41, 195-216, 2018 | 431 | 2018 |
| META-DES: A dynamic ensemble selection framework using meta-learning RMO Cruz, R Sabourin, GDC Cavalcanti, TI Ren Pattern recognition 48 (5), 1925-1935, 2015 | 263 | 2015 |
| A study on combining dynamic selection and data preprocessing for imbalance learning A Roy, RMO Cruz, R Sabourin, GDC Cavalcanti Neurocomputing 286, 179-192, 2018 | 113 | 2018 |
| DESlib: A Dynamic ensemble selection library in Python RMO Cruz, LG Hafemann, R Sabourin, GDC Cavalcanti Journal of Machine Learning Research 21, 1 - 5, 2020 | 110 | 2020 |
| META-DES. Oracle: Meta-learning and feature selection for dynamic ensemble selection RMO Cruz, R Sabourin, GDC Cavalcanti Information fusion 38, 84-103, 2017 | 95 | 2017 |
| FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection RMO Cruz, DVR Oliveira, GDC Cavalcanti, R Sabourin Pattern Recognition 85, 149-160, 2019 | 60 | 2019 |
| Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble RMO Cruz, GDC Cavalcanti, TI Ren 17th International conference on systems, signals and image processing, 215-218, 2010 | 59 | 2010 |
| An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques RMO Cruz, GDC Cavalcanti, TI Ren The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 52 | 2010 |
| The choice of scaling technique matters for classification performance LBV de Amorim, GDC Cavalcanti, RMO Cruz Applied Soft Computing 133, 109924, 2023 | 50 | 2023 |
| META-DES. H: A dynamic ensemble selection technique using meta-learning and a dynamic weighting approach RMO Cruz, R Sabourin, GDC Cavalcanti 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 47 | 2015 |
| Prototype selection for dynamic classifier and ensemble selection RMO Cruz, R Sabourin, GDC Cavalcanti Neural Computing and Applications 29, 447-457, 2018 | 45 | 2018 |
| A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence RMO Cruz, GDC Cavalcanti, TI Ren The 2011 International Joint Conference on Neural Networks, 1126-1133, 2011 | 42 | 2011 |
| The tenth visual object tracking vot2022 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision, 431-460, 2022 | 41 | 2022 |
| Dynamic ensemble selection vs k-nn: why and when dynamic selection obtains higher classification performance? RMO Cruz, HH Zakane, R Sabourin, GDC Cavalcanti 2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017 | 32 | 2017 |
| Online local pool generation for dynamic classifier selection MA Souza, GDC Cavalcanti, RMO Cruz, R Sabourin Pattern Recognition 85, 132-148, 2019 | 29 | 2019 |
| A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification VLF Souza, ALI Oliveira, RMO Cruz, R Sabourin Expert Systems with Applications 154, 113397, 2020 | 27 | 2020 |
| Feature representation selection based on classifier projection space and oracle analysis RMO Cruz, GDC Cavalcanti, R Tsang, R Sabourin Expert Systems with Applications 40 (9), 3813-3827, 2013 | 27 | 2013 |
| On meta-learning for dynamic ensemble selection RMO Cruz, R Sabourin, GDC Cavalcanti 2014 22nd International Conference on Pattern Recognition, 1230-1235, 2014 | 25 | 2014 |
| Dynamic ensemble selection and data preprocessing for multi-class imbalance learning RMO Cruz, MA Souza, R Sabourin, GDC Cavalcanti International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019 | 24 | 2019 |
| Analyzing different prototype selection techniques for dynamic classifier and ensemble selection RMO Cruz, R Sabourin, GDC Cavalcanti 2017 international joint conference on neural networks (IJCNN), 3959-3966, 2017 | 22 | 2017 |
George Darmiton da Cunha CavalcantiFull Professor, Universidade Federal de Pernambuco, Brazil在 cin.ufpe.br 的电子邮件经过验证
