Suivre
Rafael Menelau Oliveira e Cruz
Rafael Menelau Oliveira e Cruz
Associate Professor, École de Technologie Supérieure
Adresse e-mail validée de cin.ufpe.br - Page d'accueil
Titre
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Année
Dynamic classifier selection: Recent advances and perspectives
RMO Cruz, R Sabourin, GDC Cavalcanti
Information Fusion 41, 195-216, 2018
4482018
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
2752015
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
1202018
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
1182020
META-DES. Oracle: Meta-learning and feature selection for dynamic ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
Information fusion 38, 84-103, 2017
1032017
The choice of scaling technique matters for classification performance
LBV de Amorim, GDC Cavalcanti, RMO Cruz
Applied Soft Computing 133, 109924, 2023
792023
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
622019
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
582010
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
542022
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
522010
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
482015
Prototype selection for dynamic classifier and ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
Neural Computing and Applications 29, 447-457, 2018
472018
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
412011
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
352017
Online local pool generation for dynamic classifier selection
MA Souza, GDC Cavalcanti, RMO Cruz, R Sabourin
Pattern Recognition 85, 132-148, 2019
302019
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
282013
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
272020
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
252019
On meta-learning for dynamic ensemble selection
RMO Cruz, R Sabourin, GDC Cavalcanti
2014 22nd International Conference on Pattern Recognition, 1230-1235, 2014
252014
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
242017
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