Dynamic classifier selection: Recent advances and perspectives RMO Cruz, R Sabourin, GDC Cavalcanti Information Fusion 41, 195-216, 2018 | 437 | 2018 |
Assessing sentence scoring techniques for extractive text summarization R Ferreira, L de Souza Cabral, RD Lins, GP e Silva, F Freitas, ... Expert Systems with Applications 40 (14), 5755-5764, 2013 | 370 | 2013 |
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning RMO Cruz, R Sabourin, GDC Cavalcanti, TI Ren Pattern Recognition, 2015 | 267 | 2015 |
A graph-based friend recommendation system using genetic algorithm NB Silva, R Tsang, GDC Cavalcanti, J Tsang IEEE Congress on Evolutionary Computation (CEC), 233-239, 2010 | 155 | 2010 |
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images LO Teixeira, RM Pereira, D Bertolini, LS Oliveira, L Nanni, ... Sensors 21 (21), 7116, 2021 | 140 | 2021 |
Text line segmentation based on morphology and histogram projection RP dos Santos, GS Clemente, TI Ren, GDC Cavalcanti International Conference on Document Analysis and Recognition (ICDAR), 651-655, 2009 | 124 | 2009 |
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 | 117 | 2018 |
Combining Diversity Measures for Ensemble Pruning GDC Cavalcanti, LS Oliveira, TJM Moura, GV Carvalho Pattern Recognition Letters, http://dx.doi.org/10.1016/j.patrec.2016, 2016 | 116 | 2016 |
DESlib: A Dynamic ensemble selection library in Python RMO Cruz, LG Hafemann, R Sabourin, GDC Cavalcanti Journal of Machine Learning Research 21 (8), 1-5, 2020 | 114 | 2020 |
Unsupervised Retinal Vessel Segmentation Using Combined Filters WS Oliveira, JV Teixeira, TI Ren, GDC Cavalcanti, J Sijbers PLOS ONE, 2016 | 114 | 2016 |
Semi-supervised clustering for MR brain image segmentation NM Portela, GDC Cavalcanti, TI Ren Expert Systems with Applications 41 (4), 1492-1497, 2014 | 107 | 2014 |
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection RMO Cruz, R Sabourin, GDC Cavalcanti Information Fusion 38, 84-103, 2017 | 98 | 2017 |
A global-ranking local feature selection method for text categorization RHW Pinheiro, GDC Cavalcanti, RF Correa, TI Ren Expert Systems with Applications 39 (17), 12851-12857, 2012 | 91 | 2012 |
An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting GLF Azevedo, GDC Cavalcanti, ECB Carvalho Filho IEEE Congress on Evolutionary Computation (CEC), 3577-3584, 2007 | 82 | 2007 |
A Proposal for Path Loss Prediction in Urban Environments using Support Vector Regression R Timoteo, DC Cunha, GDC Cavalcanti AICT 2014, The Tenth Advanced International Conference on Telecommunications …, 2014 | 81 | 2014 |
Online Pruning of Base Classifiers for Dynamic Ensemble Selection DVR Oliveira, GDC Cavalcanti, R Sabourin Pattern Recognition, 2017 | 76 | 2017 |
The choice of scaling technique matters for classification performance LBV de Amorim, GDC Cavalcanti, RMO Cruz Applied Soft Computing 133, 109924, 2023 | 69 | 2023 |
Data-driven global-ranking local feature selection methods for text categorization RHW Pinheiro, GDC Cavalcanti, TI Ren Expert Systems with Applications 42 (4), 1941–1949, 2015 | 69 | 2015 |
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 | 58 | 2010 |