Robert Sabourin
Título
Citado por
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Año
From dynamic classifier selection to dynamic ensemble selection
AHR Ko, R Sabourin, AS Britto Jr
Pattern recognition 41 (5), 1718-1731, 2008
3942008
Automatic recognition of handwritten numerical strings: A recognition and verification strategy
L Oliveira, R Sabourin, F Bortolozzi, CY Suen
Pattern Analysis and Machine Intelligence, IEEE Transactions on 24 (11 …, 2002
3012002
A comparison of SVM and HMM classifiers in the off-line signature verification
EJR Justino, F Bortolozzi, R Sabourin
Pattern Recognition Letters 26, 1377–1385, 2005
2992005
Off-line signature verification using HMM for random, simple and skilled forgeries
EJR Justino, F Bortolozzi, R Sabourin
Proceedings of Sixth International Conference on Document Analysis and …, 2001
2822001
An HMM-based approach for off-line unconstrained handwritten word modeling and recognition
A El-Yacoubi, M Gilloux, R Sabourin, CY Suen
IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (8), 752-760, 1999
2791999
Large vocabulary off-line handwriting recognition: A survey
AL Koerich, R Sabourin, CY Suen
Pattern Analysis & Applications 6 (2), 97-121, 2003
2742003
Dynamic selection of classifiers—A comprehensive review
AS Britto Jr, R Sabourin, LES Oliveira
Pattern Recognition 47 (11), 3665–3680, 2014
2642014
Optimization of HVAC control system strategy using two-objective genetic algorithm
N Nassif, S Kajl, R Sabourin
HVAC&R Research 11 (3), 459-486, 2005
2332005
Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers
D Bertolini, LS Oliveira, E Justino, R Sabourin
Pattern Recognition 43 (1), 387-396, 2010
2282010
Off-line signature verification by local granulometric size distributions
R Sabourin, G Genest, FJ Preteux
IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (9), 976-988, 1997
2281997
Dynamic classifier selection: recent advances and perspectives
RMO Cruz, R Sabourin, GDC Cavalcanti
Information Fusion 41, 195-216, 2018
2132018
A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition
LS Oliveira, R Sabourin, F Bortolozzi, CY Suen
International Journal of Pattern Recognition and Artificial Intelligence 17 …, 2003
2052003
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
1932008
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks
LG Hafemann, R Sabourin, LS Oliveira
Pattern Recognition 70, 163-176, 2017
1922017
A neural network approach to off-line signature verification using directional PDF
JP Drouhard, R Sabourin, M Godbout
Pattern Recognition 29 (3), 415-424, 1996
1841996
Offline Handwritten Signature Verification-Literature review
LG Hafemann, R Sabourin, LS Oliveira
International Conference on Image Processing Theory, Tools and Applications …, 2017
1712017
Texture-based Descriptors for Writer Identification and Verification
D Bertolini, LS Oliveira, E Justino, R Sabourin
Expert Systems with Applications 40 (6), 2069-2080, 2013
1712013
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
1602015
Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition
M Morita, R Sabourin, F Bortolozzi, CY Suen
2003 7th International Conference on Document Analysis and Recognition 2 …, 2003
1572003
Feature selection using multi-objective genetic algorithms for handwritten digit recognition
LS Oliveira, R Sabourin, F Bortolozzi, CY Suen
Pattern Recognition, International Conference on (2002), 10568, 2002
1462002
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