From dynamic classifier selection to dynamic ensemble selection AHR Ko, R Sabourin, AS Britto Jr Pattern recognition 41 (5), 1718-1731, 2008 | 541 | 2008 |
Dynamic classifier selection: recent advances and perspectives RMO Cruz, R Sabourin, GDC Cavalcanti Information Fusion 41, 195-216, 2018 | 429 | 2018 |
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks LG Hafemann, R Sabourin, LS Oliveira Pattern Recognition 70, 163-176, 2017 | 382 | 2017 |
Dynamic selection of classifiers—A comprehensive review AS Britto Jr, R Sabourin, LES Oliveira Pattern Recognition 47 (11), 3665–3680, 2014 | 374 | 2014 |
Decoupling direction and norm for efficient gradient-based l2 adversarial attacks and defenses J Rony, LG Hafemann, LS Oliveira, IB Ayed, R Sabourin, E Granger CVPR 2019: IEEE Conference on Computer Vision and Pattern Recognition, Long …, 2019 | 342 | 2019 |
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 | 328 | 2002 |
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 | 315 | 1999 |
Offline Handwritten Signature Verification-Literature review LG Hafemann, R Sabourin, LS Oliveira International Conference on Image Processing Theory, Tools and Applications …, 2017 | 312 | 2017 |
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 | 311 | 2005 |
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 | 301 | 2001 |
Large vocabulary off-line handwriting recognition: A survey AL Koerich, R Sabourin, CY Suen Pattern Analysis & Applications 6, 97-121, 2003 | 281 | 2003 |
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 | 276 | 2010 |
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 | 272 | 2005 |
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 |
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 | 238 | 1997 |
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 | 225 | 2003 |
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 | 221 | 2013 |
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 | 214 | 2008 |
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 | 196 | 1996 |
Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks LG Hafemann, R Sabourin, LS Oliveira The International Conference on Neural Networks (IJCNN'2016), Vancouver …, 2016 | 180 | 2016 |