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Rafael Menelau Oliveira e Cruz
Rafael Menelau Oliveira e Cruz
Assistant Professor, École de Technologie Supérieure
Verified email at cin.ufpe.br - Homepage
Title
Cited by
Cited by
Year
Dynamic classifier selection: Recent advances and perspectives
RMO Cruz, R Sabourin, GDC Cavalcanti
Information Fusion 41, 195-216, 2018
2972018
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
2002015
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
832018
META-DES. Oracle: Meta-learning and feature selection for dynamic ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
Information fusion 38, 84-103, 2017
672017
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
632020
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
562010
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
502010
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
402019
Prototype selection for dynamic classifier and ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
Neural Computing and Applications 29 (2), 447-457, 2018
342018
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
342015
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
322011
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
222017
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
212013
On meta-learning for dynamic ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
2014 22nd International Conference on Pattern Recognition, 1230-1235, 2014
202014
Online local pool generation for dynamic classifier selection
MA Souza, GDC Cavalcanti, RMO Cruz, R Sabourin
Pattern Recognition 85, 132-148, 2019
182019
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
172017
Analyzing dynamic ensemble selection techniques using dissimilarity analysis
RMO Cruz, R Sabourin, GDC Cavalcanti
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 59-70, 2014
172014
An ensemble generation method based on instance hardness
FN Walmsley, GDC Cavalcanti, DVR Oliveira, RMO Cruz, R Sabourin
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
162018
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
112020
A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers
RMO Cruz, R Sabourin, GDC Cavalcanti
arXiv preprint arXiv:1509.00825, 2015
112015
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