Robert Sabourin

发表

Bases de dados de cheques bancarios brasileiros

Cinthia Obladen de Almendra Freitas, M. E. Morita, Luiz S. Oliveira, 1998 .

Dynamic Weighted Fusion of Adaptive Classifier Ensembles Based on Changing Data Streams

Robert Sabourin, Christophe C. Pagano, Eric Granger, 2014, ANNPR.

Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison

Robert Sabourin, Albert Hung-Ren Ko, R. Sabourin, 2013, Expert Syst. Appl..

Fusing High- and Low-Level Features for Handwritten Word Recognition

Robert Sabourin, Alessandro L. Koerich, Alceu S. Britto, 2006 .

Fusion of biometric systems using one-class classification

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alessandro Lameiras Koerich, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs

Robert Sabourin, Ching Y. Suen, Paulo Rodrigo Cavalin, 2012, Pattern Recognit..

Segmentation of Arabic cursive script

Robert Sabourin, Adnan Amin, Deya Motawa, 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

Boolean Combination of Classifiers in the ROC Space

Robert Sabourin, Eric Granger, Ali Miri, 2010, 2010 20th International Conference on Pattern Recognition.

A NEW APPROACH TO SEGMENT HANDWRITTEN DIGITS

Luiz S. Oliveira, Flávio Bortolozzi, Robert Sabourin, 2004 .

Off-line signature verification using a mixed segmentation

Luiz S. Oliveira, Robert Sabourin, Jacques Facon, 2014 .

Integration of contextual information in handwriting recognition systems

Robert Sabourin, Ching Y. Suen, F. Grandidier, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2013, Appl. Soft Comput..

Online pruning of base classifiers for Dynamic Ensemble Selection

George D. C. Cavalcanti, Robert Sabourin, Dayvid V. R. Oliveira, 2017, Pattern Recognit..

Off-Line Signature Verification without Requiring Random Forgeries for Training

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1995, ICSC.

Meta-regression based pool size prediction scheme for dynamic selection of classifiers

George D. C. Cavalcanti, Robert Sabourin, Anandarup Roy, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Analyzing features learned for Offline Signature Verification using Deep CNNs

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Luiz G. Hafemann, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A hybrid MOEA for the capacitated exam proximity problem

Robert Sabourin, Tony Wong, Pascal Côté, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

On the memory complexity of the forward-backward algorithm

Robert Sabourin, Eric Granger, Ali Miri, 2010, Pattern Recognit. Lett..

Système hybride de reconnaissance de mots manuscrits sur un grand vocabulaire utilisant des réseaux neuronaux et des modèles de Markov cachés

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2002 .

Intelligent zoning design using multi-objective evolutionary algorithms

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Tony Wong, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs

Robert Sabourin, Eric Granger, Ali Miri, 2010, Pattern Recognit..

On the performance of wavelets for handwritten numerals recognition

Robert Sabourin, João Marques de Carvalho, Suzete E. N. Correia, 2002, Object recognition supported by user interaction for service robots.

Learning features for offline handwritten signature verification using deep convolutional neural networks pdf

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Luiz G. Hafemann, 2017, Pattern Recognit..

Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space

Christian Gagné, Robert Sabourin, Audrey Durand, 2012, GECCO '12.

Solution over-Fit Control in Evolutionary Multiobjective Optimization of Pattern Classification Systems

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2009, Int. J. Pattern Recognit. Artif. Intell..

Large vocabulary off-line handwritten word recognition

Robert Sabourin, Alessandro Lameiras Koerich, Alessandro L. Koerich, 2002 .

A quantitative comparison between MOGAs and the RRT algorithm on classification systems optimization

Robert Sabourin, Tony Wong, Paulo V. W. Radtke, 2007 .

K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection

George D. C. Cavalcanti, Robert Sabourin, Dayvid V. R. Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

On Meta-learning for Dynamic Ensemble Selection

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2014, 2014 22nd International Conference on Pattern Recognition.

DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2013, Expert Syst. Appl..

Texture-based descriptors for writer identification and verification

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2013, Expert Syst. Appl..

Bayesian optimization for conditional hyperparameter spaces

Christian Gagné, Robert Sabourin, Audrey Durand, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Segmentation-Free Approaches For Handwritten Numeral String Recognition

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Speeding up the decision making of support vector classifiers

Robert Sabourin, Mohamed Cheriet, Jonathan Milgram, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Simplified model-based optimal control of VAV air-conditioning system

Robert Sabourin, Stanislaw Kajl, Nabil Nassif, 2005 .

Incremental Boolean Combination of Classifiers

Robert Sabourin, Eric Granger, Ali Miri, 2011, MCS.

Fusion of biometric systems using Boolean combination: an application to iris-based authentication

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2012, Int. J. Biom..

An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification

Robert Sabourin, Eric Granger, Jean-François Connolly, 2010, IEEE Congress on Evolutionary Computation.

Um sistema de verificaçao de assinaturas offlinie usando modelos escondidos de Markov (HMM)

Edson J. R. Justino, Flávio Bortolozzi, Robert Sabourin, 2000 .

Slant normalization of handwritten numeral strings

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 1999 .

A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection

Robert Sabourin, Eric Granger, Ali Miri, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Two-stage classification system combining model-based and discriminative approaches

Robert Sabourin, Mohamed Cheriet, J. Milgram, 2004, ICPR 2004.

Multi-feature extraction and selection in writer-independent off-line signature verification

Robert Sabourin, Eric Granger, Dominique Rivard, 2013, International Journal on Document Analysis and Recognition (IJDAR).

Combining Model-Based and Discriminative Approaches in a Modular Two-stage Classification System: Application to isolated Handwritten Digit Recognition

Robert Sabourin, Mohamed Cheriet, Jonathan Milgram, 2009, Progress in Computer Vision and Image Analysis.

Dynamic classifier selection: Recent advances and perspectives

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2018, Inf. Fusion.

Combining different biometric traits with one-class classification

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alessandro Lameiras Koerich, 2009, Signal Process..

Confusion Matrix Disagreement for Multiple Classifiers

Cinthia Obladen de Almendra Freitas, Robert Sabourin, João Marques de Carvalho, 2007, CIARP.

Intelligent feature extraction for ensemble of classifiers

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

“One Against One” or “One Against All”: Which One is Better for Handwriting Recognition with SVMs?

Robert Sabourin, Mohamed Cheriet, Jonathan Milgram, 2006 .

Vérification automatique des signatures manuscrites par classification floue

Robert Sabourin, Vincent Bombardier, Christophe Simon, 1993 .

ROC-based cost-sensitive classification with a reject option

Robert Sabourin, Sébastien Adam, Clement Dubos, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A bio-cryptographic system based on offline signature images

Robert Sabourin, Eric Granger, George S. Eskander, 2014, Inf. Sci..

A Multi-objective Memetic Algorithm for Intelligent Feature Extraction

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2005, EMO.

META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2017, Inf. Fusion.

Review of phenotypic diversity formulations for diagnostic tool

Robert Sabourin, Antoine Tahan, Guillaume Corriveau, 2013, Appl. Soft Comput..

Segmentation and recognition of handwritten dates

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

MATCH TRACKING STRATEGIES FOR FUZZY ARTMAP NEURAL NETWORKS

Robert Sabourin, Eric Granger, Luis S. Oliveira, 2010 .

Automatic processing of signatures images : static techniques and methods

Robert Sabourin, Réjean Plamondon, Guy Lorette, 1990 .

Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm

Robert Sabourin, Stanislaw Kajl, Nabil Nassif, 2005 .

Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes

François Gagnon, Robert Sabourin, Albert Hung-Ren Ko, 2013, Expert Syst. Appl..

An off-line signature verification system using hidden Markov model and cross-validation

Abdenaim El Yacoubi, Flávio Bortolozzi, Robert Sabourin, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

Dynamic selection of generative-discriminative ensembles for off-line signature verification

Robert Sabourin, Eric Granger, Luana Batista, 2012, Pattern Recognit..

Meta-learning recommendation of default size of classifier pool for META-DES

George D. C. Cavalcanti, Robert Sabourin, Anandarup Roy, 2016, Neurocomputing.

Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2009, Pattern Analysis and Applications.

Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification

Robert Sabourin, Eric Granger, Jean-François Connolly, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Particle Swarm Optimization of Fuzzy ARTMAP Parameters

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Eric Granger, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Influence of word length on handwriting recognition

Robert Sabourin, Ching Y. Suen, Mounim A. El-Yacoubi, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Design of Fuzzy Terminal Iterative Learning Control based on internal model control

Robert Sabourin, Guy Gauthier, Mathieu Beauchemin-Turcotte, 2014, 22nd Mediterranean Conference on Control and Automation.

Intelligent Watermarking of Document Images as a Dynamic Optimization Problem

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Morphological Pseudo Convex Hull to Correct Handwriting Baseline skew

Flávio Bortolozzi, Robert Sabourin, Jacques Facon, 2000, ISMM.

Progress in the field of automatic handwritten signature verifications systems using gray level image

Robert Sabourin, Réjean Plamondon, 1990 .

Handling Concept Drifts Using Dynamic Selection of Classifiers

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems

Robert Sabourin, Eric Granger, George S. Eskander Ekladious, 2017, Cryptogr..

An implicit segmentation-based method for recognition of handwritten strings of characters

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2006, SAC.

Brazilian bank check handwritten legal amount recognition

Cinthia Obladen de Almendra Freitas, Abdenaim El Yacoubi, Flávio Bortolozzi, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

Automatic Temperature Setpoint Tuning of a Thermoforming Machine using Fuzzy Terminal Iterative Learning Control pdf

Robert Sabourin, Guy Gauthier, Mathieu Beauchemin-Turcotte, 2017, ArXiv.

Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control

Robert Sabourin, Rafael M. O. Cruz, Victor L. F. Souza, 2020, GECCO Companion.

Fractals and neurological methods in handwriting analysis

Nicole Vincent, Robert Sabourin, Hubert Emptoz, 1997 .

A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification pdf

Robert Sabourin, Rafael M. O. Cruz, Victor L. F. Souza, 2020, Expert Syst. Appl..

Binary image compression using identity mapping backpropagation neural network

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1997, Electronic Imaging.

Objective Evaluation of the Discriminant Power of Features in an HMM-based Word Recognition System

Robert Sabourin, Ching Y. Suen, Mounim A. El-Yacoubi, 1997, BSDIA.

A Dual-Purpose Memory Approach for Dynamic Particle Swarm Optimization of Recurrent Problems

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2016, Recent Advances in Computational Intelligence in Defense and Security.

A Methodology for Feature Selection Using Multiobjective Genetic Algorithms for Handwritten Digit String Recognition

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2003, Int. J. Pattern Recognit. Artif. Intell..

Implantation et validation d'une technique de segmentation des contours costaux sur des stéréoradiographies

Robert Sabourin, J. A. de Guise, R. Howison, 1994 .

Securing high resolution grayscale facial captures using a blockwise coevolutionary GA

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2013, Expert Syst. Appl..

Morphological approach of handwritten word skew correction

M. E. Morita, Flávio Bortolozzi, Robert Sabourin, 1998, Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237).

Fast two-level Viterbi search algorithm for unconstrained handwriting recognition

Robert Sabourin, Ching Y. Suen, Alessandro Lameiras Koerich, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Watch-List Screening Using Ensembles Based on Multiple Face Representations

Robert Sabourin, Guillaume-Alexandre Bilodeau, Eric Granger, 2014, 2014 22nd International Conference on Pattern Recognition.

A two-stage HMM-based system for recognizing handwritten numeral strings

Flávio Bortolozzi, Robert Sabourin, Alceu de Souza Britto, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

On the implementation of some graphometric techniques for interactive signature verification : a feasability study

Robert Sabourin, Réjean Plamondon, 1987 .

Context-Sensitive Self-Updating for Adaptive Face Recognition

Robert Sabourin, Eric Granger, Fabio Roli, 2015 .

On the correlation between genotype and classifier diversity

Robert Sabourin, Eric Granger, Jean-François Connolly, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Off-Line Signature Verification: Recent Advances and Perspectives

Robert Sabourin, 1997, BSDIA.

Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

The interpersonal and intrapersonal variability influences on off-line signature verification using HMM

Flávio Bortolozzi, Robert Sabourin, Edson José Rodrigues Justino, 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.

Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition

Robert Sabourin, Alceu de Souza Britto, Celso A. A. Kaestner, 2004, SSPR/SPR.

Shape matrices as a mixed shape factor for off-line signature verification

Robert Sabourin, Jean-Pierre Drouhard, Etienne Sum Wah, 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

Evaluating the conventional and class-modular architectures feedforward neural network for handwritten word recognition

Cinthia Obladen de Almendra Freitas, Robert Sabourin, Júlio C. Nievola, 2003, 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003).

Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Off-line signature verification using directional PDF and neural networks

Robert Sabourin, J.-P. Drouhard, R. Sabourin, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

Handwritten month word recognition on Brazilian bank cheques

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Dynamic Selection of Ensembles of Classifiers Using Contextual Information

Robert Sabourin, Ching Y. Suen, Paulo Rodrigo Cavalin, 2010, MCS.

A Simple Methodology to Bankcheck Segmentation

Flávio Bortolozzi, Robert Sabourin, José Eduardo Bastos Dos Santos, 1997, BSDIA.

Impact of watermarking on offline signature verification in intelligent bio-watermarking systems

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2011, 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).

A New HMM-Based Ensemble Generation Method for Numeral Recognition

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2007, MCS.

Feature selection using multi-objective genetic algorithms for handwritten digit recognition

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2002, Object recognition supported by user interaction for service robots.

Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pareto analysis for the selection of classifier ensembles

Robert Sabourin, Patrick Maupin, Eulanda Miranda dos Santos, 2008, GECCO '08.

Automatic handwritten signature verification using directional PDF and neural networks: a feasibility study

Robert Sabourin, Jean-Pierre Drouhard, L. Gagné, 1992 .

Pairwise fusion matrix for combining classifiers

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2007, Pattern Recognit..

Robert Sabourin, Eric Granger, Luana Batista, 2010, 2010 20th International Conference on Pattern Recognition.

Off-Line Handwritten Word Recognition Using Hidden Markov Models

Robert Sabourin, Ching Y. Suen, A. El-Yacoubi, 1999 .

Classifier Ensembles Optimization Guided by

Robert Sabourin, Eulanda M. dos Santos, R. Sabourin, 2011 .

Fusion of Classifiers Based on Centrality Measures

Robert Sabourin, Fabrício Enembreck, Alceu S. Britto, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Preprocessing of handwritten signatures from image gradient analysis

Robert Sabourin, Réjean Plamondon, R. Plamondon, 1986 .

A Fuzzy Perception for Off-Line Handwritten Signature Verification

Robert Sabourin, Christophe Simon, Eric Levrat, 1997, BSDIA.

Compound Diversity Functions for Ensemble Selection

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2009, Int. J. Pattern Recognit. Artif. Intell..

Distance-based Disagreement Classifiers Combination

Cinthia Obladen de Almendra Freitas, Robert Sabourin, José Josemar de Oliveira, 2007, 2007 International Joint Conference on Neural Networks.

Multi-objective optimization of an ecological assembly model

Robert Sabourin, Pascal Côté, Lael Parrott, 2007, Ecol. Informatics.

A modular system to recognize numerical amounts on Brazilian bank cheques

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2010, Pattern Recognit..

Using the RRT algorithm to optimize classification systems for handwritten digits and letters

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2008, SAC '08.

Approaching the intra-class variability in multi-script static signature evaluation

Miguel Angel Ferrer-Ballester, Robert Sabourin, Moisés Díaz Cabrera, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

A low-cost parallel K-means VQ algorithm using cluster computing

Robert Sabourin, Díbio Leandro Borges, Alceu de Souza Britto, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Os sistemas de reconhecimento de assinaturas sob a otica da grafologia

Edson J. R. Justino, Flávio Bortolozzi, Robert Sabourin, 1998 .

Classification system optimization with multi-objective genetic algorithms

Robert Sabourin, Tony Wong, Paulo V. W. Radtke, 2006 .

An extended-shadow-code based approach for off-line signature verification. I. Evaluation of the bar mask definition

Robert Sabourin, Ginette Genest, R. Sabourin, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

A PSO-based framework for dynamic SVM model selection

Robert Sabourin, Patrick Maupin, Marcelo N. Kapp, 2009, GECCO '09.

A Strategy for Selecting Classes of Symbols from Classes of Graphemes in HMM-Based Handwritten Word Recognition

Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi, Robert Sabourin, 2004 .

Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2015, Machine Vision and Applications.

Off-line Identification With Handwritten Signature Images: Survey and Perspectives

Robert Sabourin, Réjean Plamondon, Guy Lorette, 1992 .

A syntax directed level building algorithm for large vocabulary handwritten word recognition

Robert Sabourin, Alessandro L. Koerich, Ching Y. Suen, 2000 .

K-Nearest Oracle for Dynamic Ensemble Selection

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

A high throughput system for intelligent watermarking of bi-tonal images

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2011, Appl. Soft Comput..

Robert Sabourin, Eric Granger, George S. Eskander, 2013, SIMBAD.

The graphology applied to signature verification

Cinthia Obladen de Almendra Freitas, Luiz S. Oliveira, Robert Sabourin, 2005 .

Steps toward efficient processing of handwritten signature images

Robert Sabourin, Réjean Plamondon, R. Plamondon, 1990 .

Forest Species Recognition Using Color-Based Features

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2010, 2010 20th International Conference on Pattern Recognition.

Annealing BasedApproach toOptimize Classification Systems

Robert Sabourin, 2007 .

Dynamic ensembles of exemplar-SVMs for still-to-video face recognition

Robert Sabourin, Guillaume-Alexandre Bilodeau, Eric Granger, 2017, Pattern Recognit..

Feature selection for ensembles applied to handwriting recognition

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Marisa E. Morita, 2006, International Journal of Document Analysis and Recognition (IJDAR).

A comparative study of the k nearest neighbour, threshold and neural network classifiers for handwritten signature verification using an enhanced directional PDF

Robert Sabourin, Jean-Pierre Drouhard, Mario Godbout, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Two-objective on-line optimization of supervisory control strategy

Robert Sabourin, Stanislaw Kajl, Nabil Nassif, 2004 .

A neural network approach to off-line signature verification using directional PDF

Robert Sabourin, Jean-Pierre Drouhard, Mario Godbout, 1996, Pattern Recognit..

Adaptive ROC-based ensembles of HMMs applied to anomaly detection

Robert Sabourin, Eric Granger, Ali Miri, 2012, Pattern Recognit..

A survey of techniques for incremental learning of HMM parameters

Robert Sabourin, Eric Granger, Ali Miri, 2012, Inf. Sci..

Random forest dissimilarity based multi-view learning for Radiomics application

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2019, Pattern Recognit..

A review of situation recognition models and systems

Robert Sabourin, Eric Granger, Tony Wong, 2004 .

Recognition and verification of unconstrained handwritten words

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DESlib: A Dynamic ensemble selection library in Python

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2018, J. Mach. Learn. Res..

Ambiguity-guided dynamic selection of ensemble of classifiers

Robert Sabourin, Patrick Maupin, Eulanda Miranda dos Santos, 2007, 2007 10th International Conference on Information Fusion.

Overfitting cautious selection of classifier ensembles with genetic algorithms

Robert Sabourin, Patrick Maupin, Eulanda Miranda dos Santos, 2009, Inf. Fusion.

Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results pdf

Robert Sabourin, Eric Granger, George S. Eskander, 2014, ArXiv.

Dynamic Zoning Selection for Handwritten Character Recognition

Robert Sabourin, Alceu de Souza Britto, Simone B. K. Aires, 2011, CIARP.

META-DES.Oracle: Meta-learning and feature selection for ensemble selection pdf

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2018, arXiv.org.

Detector ensembles for face recognition in video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Christophe C. Pagano, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Efficient cost-sensitive human-machine collaboration for offline signature verification

Robert Sabourin, Jacques P. Swanepoel, Johannes Coetzer, 2011, Electronic Imaging.

Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition

Robert Sabourin, Eric Granger, Jean-François Connolly, 2011, 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).

A comparison of adaptive appearance methods for tracking faces in video surveillance

Robert Sabourin, Eric Granger, Gian Luca Marcialis, 2013, ICDP.

A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1996, Proceedings of 13th International Conference on Pattern Recognition.

A database for automatic classification of forest species

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Silvana Nisgoski, 2012, Machine Vision and Applications.

Assessing handwitten digit segmentation algorithms

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2012, SAC '12.

Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits

Luiz S. Oliveira, Robert Sabourin, Eric Granger, 2006 .

An HMM-based approach for date recognition

M. E. Morita, Flávio Bortolozzi, Robert Sabourin, 2000 .

An off-line signature verification method based on SVM classifier and graphometric features

Edson J. R. Justino, Flávio Bortolozzi, Robert Sabourin, 2003 .

Adaptive ensembles for face recognition in changing video surveillance environments

Robert Sabourin, Christophe C. Pagano, Eric Granger, 2014, Inf. Sci..

Multi-objective Genetic Algorithms to Create Ensemble of Classifiers

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2005, EMO.

Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker

Robert Sabourin, Eric Granger, Gian Luca Marcialis, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Classifier ensembles optimization guided by population oracle

Robert Sabourin, Eulanda Miranda dos Santos, R. Sabourin, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Improving Writer Identification Through Writer Selection

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Diego Bertolini, 2015, CIARP.

Evaluating NN and HMM classifiers for handwritten word recognition

Cinthia Obladen de Almendra Freitas, Robert Sabourin, João Marques de Carvalho, 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.

Analyzing different prototype selection techniques for dynamic classifier and ensemble selection

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations

Robert Sabourin, Guillaume-Alexandre Bilodeau, Eric Granger, 2017, Machine Vision and Applications.

Impacts of verification on a numeral string recognition system

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2003, Pattern Recognit. Lett..

Online local pool generation for dynamic classifier selection: an extended version pdf

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2018, Pattern Recognit..

Adaptation of Writer-Independent Systems for Offline Signature Verification

Robert Sabourin, Eric Granger, George S. Eskander, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Off-line Signature Verification Using Writer-Independent Approach

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2007, 2007 International Joint Conference on Neural Networks.

A dominance-based stepwise approach for sensor placement optimization

Robert Sabourin, Albert Hung-Ren Ko, Anne-Laure Jousselme, 2015, Appl. Soft Comput..

Digital radiography segmentation of scoliotic vertebral pedicles using morphological segmentation

Robert Sabourin, Jean Dansereau, Hubert Labelle, 1994 .

Transfer learning between texture classification tasks using Convolutional Neural Networks

Robert Sabourin, Luiz G. Hafemann, Paulo R. Cavalin, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Robert Sabourin, Eric Granger, George S. Eskander, 2013, AFHA.

Exploring the upper bound performance limit of iris biometrics using score calibration and fusion

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2011, 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).

Técnicas em Processamento e Análise de Documentos Manuscritos

Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi, Robert Sabourin, 2001, RITA.

A Human-Centric Off-Line Signature Verification System

Robert Sabourin, H. Coetzer, 2007 .

Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images pdf

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, ICIAR.

Annealing Based Approach to Optimize Classification Systems

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2007, 2007 International Joint Conference on Neural Networks.

La vérification par ordinateur des signatures manuscrites

Robert Sabourin, Réjean Plamondon, 1986 .

Filtering segmentation cuts for digit string recognition

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2008, Pattern Recognit..

Identificação da Autoria de Manuscritos com Base em Atributos Genéticos e Genéricos da Escrita

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2010, RITA.

Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters

Robert Sabourin, Alceu de Souza Britto, Ching Y. Suen, 2009, Pattern Recognit..

K-Nearest Oracle for Dynamic Ensemble Selection

Robert Sabourin, Albert Hung-Ren Ko, A. de Souza Britto, 2007 .

Contextual Anomaly Detection Using Log-Linear Tensor Factorization

Robert Sabourin, Christian Desrosiers, Alpa Jayesh Shah, 2015, PAKDD.

Bayesian Hyperparameter Optimization for Ensemble Learning pdf

Christian Gagné, Robert Sabourin, Julien-Charles Levesque, 2016, UAI.

Unsupervised feature selection for ensemble of classifiers

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Marisa E. Morita, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Dynamic Ensemble Selection by K-Nearest Local Oracles with Discrimination Index

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Dynamic Selection of Exemplar-SVMs for Watch-list Screening through Domain Adaptation

Robert Sabourin, Guillaume-Alexandre Bilodeau, Eric Granger, 2017, ICPRAM.

A comparison of adaptive matchers for screening of faces in video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Paulo Vinicius Wolski Radtke, 2012, 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications.

A New Dynamic Ensemble Selection Method for Numeral Recognition

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2007, MCS.

The use of neural networks for classification of cancerous cells based on one-class problem approach

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1996 .

A dynamic overproduce-and-choose strategy for the selection of classifier ensembles

Robert Sabourin, Patrick Maupin, Eulanda Miranda dos Santos, 2008, Pattern Recognit..

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, ArXiv.

Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm

Robert Sabourin, Patrick Maupin, Guillaume Tremblay, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Feature sets evaluation for handwritten word recognition

Cinthia Obladen de Almendra Freitas, Robert Sabourin, João Marques de Carvalho, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Large vocabulary off-line handwriting recognition: A survey

Robert Sabourin, Ching Y. Suen, Alessandro Lameiras Koerich, 2003, Pattern Analysis & Applications.

A New Objective Function for Ensemble Selection in Random Subspaces

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Handwritten digit segmentation: Is it still necessary?

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2018, Pattern Recognit..

Off-line signature verification, without a priori knowledge of class /spl omega//sub 2/. A new approach

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

Robert Sabourin, Luiz S. Oliveira, Luiz G. Hafemann, 2019, IEEE Transactions on Information Forensics and Security.

A string length predictor to control the level building of HMMs for handwritten numeral recognition

Flávio Bortolozzi, Robert Sabourin, Alceu de Souza Britto, 2002, Object recognition supported by user interaction for service robots.

Feature representation selection based on Classifier Projection Space and Oracle analysis

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2013, Expert Syst. Appl..

A Human-Centric Off-Line Signature Verification System

Robert Sabourin, Hanno Coetzer, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Deep Learning Architectures for Face Recognition in Video Surveillance pdf

Robert Sabourin, Eric Granger, Mostafa Parchami, 2018, Deep Learning in Object Detection and Recognition.

Offline signature-based fuzzy vault: A review and new results

Robert Sabourin, Eric Granger, George S. Eskander, 2014, 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM).

Combining Classifiers in the ROC-space for Off-line Signature Verification

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2008, J. Univers. Comput. Sci..

Towards Automated Transactions Based on the Offline Handwritten Signatures

Robert Sabourin, Eric Granger, George S. Eskander, 2013, MLDM Posters.

A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Adaptive skew-sensitive fusion of ensembles and their application to face re-identification

Robert Sabourin, Eric Granger, Miguel De-la-Torre, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A synthetic database to assess segmentation algorithms

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

A study on combining dynamic selection and data preprocessing for imbalance learning

George D. C. Cavalcanti, Robert Sabourin, Anandarup Roy, 2018, Neurocomputing.

An HMM-MLP hybrid system to recognize handwritten dates

M. E. Morita, Luiz S. Oliveira, Flávio Bortolozzi, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

An Ensemble Generation Method Based on Instance Hardness

George D. C. Cavalcanti, Robert Sabourin, Dayvid V. R. Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Dynamic fusion of human and machine decisions for efficient cost-sensitive biometric authentication

Robert Sabourin, Johannes Coetzer, Jacques Swanepoel, 2020, 2020 International SAUPEC/RobMech/PRASA Conference.

Classification of cancerous cells using fuzzy ARTMAP neural network

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1996 .

Dynamic Ensemble Selection for Off-Line Signature Verification

Robert Sabourin, Eric Granger, Luana Batista, 2011, MCS.

A two-step cascade classification method

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Fabrício Enembreck, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A dynamic model selection strategy for support vector machine classifiers

Robert Sabourin, Patrick Maupin, Marcelo N. Kapp, 2012, Appl. Soft Comput..

Improving cascading classifiers with particle swarm optimization

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Robert Sabourin, Eric Granger, George S. Eskander, 2013, ICIAP Workshops.

Combining Model-based and Discriminative Approaches in a Modular Two-stage Classification System: Application to Isolated Handwritten Digit Recognition

Robert Sabourin, Mohamed Cheriet, Jonathan Milgram, 2005 .

Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2007, MCS.

Characterization of Handwritten Signature Images in Dissimilarity Representation Space

Robert Sabourin, Adriano Lorena Inácio de Oliveira, Rafael M. O. Cruz, 2019, ICCS.

Coopération de classificateurs pour la vérification automatique des signatures

Robert Sabourin, G. Genest, 1994 .

A multi-resolution based approach for handwriting segmentation in gray-scale images

Robert Sabourin, Mohamed Cheriet, R. Thibault, 1994, Proceedings of 1st International Conference on Image Processing.

Single Classifier Based Multiple Classifications

Robert Sabourin, Albert Hung-Ren Ko, R. Sabourin, 2013, MCS.

An optimized hill climbing algorithm for feature subset selection: evaluation on handwritten character recognition

Robert Sabourin, Alceu de Souza Britto, Celso A. A. Kaestner, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Off-line signature verification using fuzzy ARTMAP neural network

Robert Sabourin, F. Bortolozzi, N. A. Murshed, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

From dynamic classifier selection to dynamic ensemble selection

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2008, Pattern Recognit..

Offline handwritten signature verification — Literature review

Robert Sabourin, Luiz G. Hafemann, Luiz S. Oliveira, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Evaluation of a training method and of various rejection criteria for a neural network classifier used for off-line signature verification

Robert Sabourin, J.-P. Drouhard, M. Godbout, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Watermarking Stack of Grayscale Face Images as Dynamic Multi-Objective Optimization Problem

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2011, MDA.

Incremental update of biometric models in face-based video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Paulo Vinicius Wolski Radtke, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A Hybrid Multi-objective Evolutionary Algorithm for the Uncapacitated Exam Proximity Problem

Robert Sabourin, Tony Wong, Pascal Côté, 2004, PATAT.

Securing Mass Biometric Templates Using Blockwise Multi-Resolution Clustering

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2013, MLDM Posters.

Study Of Perceptual Similarity Between Different Lexicons

Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi, Robert Sabourin, 2004, Int. J. Pattern Recognit. Artif. Intell..

Feature Selection Techniques for Classification of Satellite Images with Fuzzy ARTMAP Neural Networks

Robert Sabourin, Eric Granger, Dominique Rivard, 2006 .

Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Hybrid writer-independent-writer-dependent offline signature verification system

Robert Sabourin, Eric Granger, George S. Eskander, 2013, IET Biom..

Two-stage classification system combining model-based and discriminative approaches

Robert Sabourin, Mohamed Cheriet, Jonathan Milgram, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

High-level verification of handwritten numeral strings

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2001, Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing.

Ensemble of classifiers for off-line signature verification

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

MULTICHECK: une architecture d'agents cognitifs indépendants pour le traitement automatique des chèques bancaires brésiliens

Flávio Bortolozzi, Robert Sabourin, Edson Emílio Scalabrin, 1998 .

Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition

Robert Sabourin, Eric Granger, Jean-François Connolly, 2012, Pattern Recognit..

Adaptive Incremental Learning with an Ensemble of Support Vector Machines

Robert Sabourin, Patrick Maupin, Marcelo N. Kapp, 2010, 2010 20th International Conference on Pattern Recognition.

Fast two-level HMM decoding algorithm for large vocabulary handwriting recognition

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Handwritten digits segmentation based on structural approach

Luiz Eduardo Soares de Oliveira, Edouard Lethelier, Flávio Bortolozzi, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

An a priori indicator of the discrimination power of discrete hidden Markov models

Robert Sabourin, Ching Y. Suen, Michel Gilloux, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Combinando caracteristicas complementares em modelos escondidos de markov: uma otimizaçao para o reconhecimento de caracteres manuscritos

Robert Sabourin, Alessandro Lameiras Koerich, Alessandro L. Koerich, 2008 .

Contribution of data complexity features on dynamic classifier selection

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Fabrício Enembreck, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Eric Granger, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2013, Machine Vision and Applications.

An off-line signature verification method based on the questioned document expert's approach and a neural network classifier

Flávio Bortolozzi, Robert Sabourin, Cesar R. Santos, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Ventilation Control Strategy Using the Supply CO2 Concentration Setpoint

Robert Sabourin, Stanislaw Kajl, Nabil Nassif, 2005 .

Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models

Robert Sabourin, Ching Y. Suen, Alessandro Lameiras Koerich, 2003, Document Analysis and Recognition.

K-Means VQ algorithm using a low-cost parallel cluster computing

Robert Sabourin, Díbio Leandro Borges, Alceu de Souza Britto, 2004, Parallel and Distributed Computing and Networks.

The Multiclass ROC Front method for cost-sensitive classification

Robert Sabourin, Clément Chatelain, Sébastien Adam, 2016, Pattern Recognit..

An Enhanced HMM Topology in an LBA Framework for the Recognition of Handwritten Numeral Strings

Flávio Bortolozzi, Robert Sabourin, Alceu de Souza Britto, 2001, ICAPR.

Adaptive appearance model tracking for still-to-video face recognition

Robert Sabourin, Eric Granger, Gian Luca Marcialis, 2016, Pattern Recognit..

An individual-specific strategy for management of reference data in adaptive ensembles for person re-identification

Robert Sabourin, Eric Granger, Miguel De-la-Torre, 2013, ICDP.

Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Luiz G. Hafemann, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Generation of Duplicated Off-Line Signature Images for Verification Systems

Miguel Angel Ferrer-Ballester, Robert Sabourin, Moisés Díaz Cabrera, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evolving ensemble of classifiers in random subspace

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2006, GECCO '06.

Partially-supervised learning from facial trajectories for face recognition in video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Paulo Vinicius Wolski Radtke, 2015, Inf. Fusion.

Adaptive selection of ensembles for imbalanced class distributions

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A comparison of SVM and HMM classifiers in the off-line signature verification

Flávio Bortolozzi, Robert Sabourin, Edson José Rodrigues Justino, 2005, Pattern Recognit. Lett..

A Cognitive Approach to Off-Line Signature Verification

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1997, Int. J. Pattern Recognit. Artif. Intell..

Improving Signature-Based Biometric Cryptosystems Using Cascaded Signature Verification-Fuzzy Vault (SV-FV) Approach

Robert Sabourin, Eric Granger, George S. Eskander, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization

Robert Sabourin, Tony Wong, Paulo Vinicius Wolski Radtke, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2014, Inf. Fusion.

Évaluation d'un classificateur de type LVQ de Kohonen pour la vérification automatique de l'identité

Robert Sabourin, Robert Sabourin, 1992 .

META-DES: A dynamic ensemble selection framework using meta-learning pdf

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2015, Pattern Recognit..

Adaptive Classification for Person Re-identification Driven by Change Detection

Robert Sabourin, Christophe C. Pagano, Eric Granger, 2015, ICPRAM.

HOW TO USE FRACTAL DIMENSIONS TO QUALIFY WRITINGS AND WRITERS

Nicole Vincent, Robert Sabourin, Hubert Emptoz, 2000 .

Dynamic selection approaches for multiple classifier systems

Robert Sabourin, Ching Y. Suen, Paulo Rodrigo Cavalin, 2011, Neural Computing and Applications.

A Time-Length Constrained Level Building Algorithm for Large Vocabulary Handwritten Word Recognition

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2001, ICAPR.

Recognition of handwritten dates on bank checks using an HMM approach

Abdenaim El Yacoubi, Edouard Lethelier, Flávio Bortolozzi, 2000, Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878).

A new HMM training and testing scheme

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2008, 2008 19th International Conference on Pattern Recognition.

Self-Updating with Facial Trajectories for Video-to-Video Face Recognition

Dmitry O. Gorodnichy, Robert Sabourin, Paulo Vinicius Wolski Radtke, 2014, 2014 22nd International Conference on Pattern Recognition.

A Decision-Based Dynamic Ensemble Selection Method for Concept Drift

Robert Sabourin, Rafael Giusti, Albert Franca Josua Costa, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

A distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems

Robert Sabourin, Ching Y. Suen, Alessandro L. Koerich, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Pattern spectrum as a local shape factor for off-line signature verification

Robert Sabourin, Françoise J. Prêteux, Ginette Genest, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Pondération dynamique en apprentissage multi-vues pour des applications radiomics

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018 .

Foreground and background information in an HMM-based method for recognition of isolated characters and numeral strings

Flávio Bortolozzi, Robert Sabourin, Alceu de Souza Britto, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

On the characterization of the Oracle for dynamic classifier selection

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Feature Selection for Ensembles Using the Multi-Objective Optimization Approach

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Marisa E. Morita, 2006, Multi-Objective Machine Learning.

Handwritten Brazilian month recognition: an analysis of two NN architectures and a rejection mechanism

Cinthia Obladen de Almendra Freitas, Robert Sabourin, Marcelo N. Kapp, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Handwritten isolated word recognition: an approach based on Mutual Information for feature set validation

Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi, Robert Sabourin, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Segmentation of handwritten signature images using the statistics of directional data

Robert Sabourin, Réjean Plamondon, R. Plamondon, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Multi-script writer identification using dissimilarity

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Diego Bertolini, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Patrick Maupin, 2008, GECCO '08.

An extended-shadow-code based approach for off-line signature verification

Robert Sabourin, Mohamed Cheriet, Ginette Genest, 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

Evaluation of Genotypic Diversity Measurements Exploited in Real-Coded Representation pdf

Robert Sabourin, Antoine Tahan, Guillaume Corriveau, 2015, ArXiv.

Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alessandro Lameiras Koerich, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Handwriting and signature: one or two personality identifiers?

Nicole Vincent, Robert Sabourin, Hubert Emptoz, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Adaptive Ensemble Selection for Face Re-identification under Class Imbalance

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2013, MCS.

Meta-Learning for Fast Classifier Adaptation to New Users of Signature Verification Systems

Robert Sabourin, Luiz S. Oliveira, Luiz G. Hafemann, 2019, IEEE Transactions on Information Forensics and Security.

Computer assisted detection of scoliotic vertebral pedicles using morphological segmentation

Robert Sabourin, Jean Dansereau, J. A. de Guise, 1994 .

Handwritten Word Recognition Using Multi-view Analysis

Cinthia Obladen de Almendra Freitas, Robert Sabourin, João Marques de Carvalho, 2009, CIARP.

An Ensemble Generation MethodBased on Instance Hardness

George D. C. Cavalcanti, Robert Sabourin, Dayvid V. R. Oliveira, 2018 .

Recognition of blowing sound types for real-time implementation in mobile devices

Robert Sabourin, Ghyslain Gagnon, Jean Dubois, 2013, 2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS).

Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network

Robert Sabourin, Eric Granger, Jean-François Connolly, 2008, ANNPR.

Efficient adaptive face recognition systems based on capture conditions

Robert Sabourin, Christophe C. Pagano, Eric Granger, 2014, 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM).

A classifier fusion system for bearing fault diagnosis

Robert Sabourin, Bechir Badri, Luana Batista, 2013, Expert Syst. Appl..

An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings

Robert Sabourin, Andre G. Hochuli, Alceu S. Britto, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Individual-specific management of reference data in adaptive ensembles for face re-identification

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2015, IET Comput. Vis..

A framework for dynamic classifier selection oriented by the classification problem difficulty

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Fabrício Enembreck, 2018, Pattern Recognit..

Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance?

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs

Robert Sabourin, Eric Granger, Luana Batista, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Adapting heterogeneous ensembles with particle swarm optimization for video face recognition

Robert Sabourin, Eric Granger, Jean-Francois Connolly, 2012 .

FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection

George D. C. Cavalcanti, Robert Sabourin, Dayvid V. R. Oliveira, 2018, Pattern Recognit..

A recognition and verification strategy for handwritten word recognition

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Ensembles of exemplar-SVMs for video face recognition from a single sample per person

Robert Sabourin, Guillaume-Alexandre Bilodeau, Eric Granger, 2015, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Review and Study of Genotypic Diversity Measures for Real-Coded Representations

Robert Sabourin, Antoine Tahan, Guillaume Corriveau, 2012, IEEE Transactions on Evolutionary Computation.

An HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition

Robert Sabourin, Ching Y. Suen, Mounim A. El-Yacoubi, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Forest Species Recognition Based on Ensembles of Classifiers

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

A Classifier-free Ensemble Selection Method based on Data Diversity in Random Subspaces pdf

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Albert Hung-Ren Ko, 2014, ArXiv.

Signature based Fuzzy Vaults with Boosted Feature Selection

Robert Sabourin, Eric Granger, George S. Eskander, 2011, 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM).

Feature selection for ensembles:a hierarchical multi-objective genetic algorithm approach

Luiz Eduardo Soares de Oliveira, Flávio Bortolozzi, Robert Sabourin, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

The recognition of handwritten numeral strings using a two-stage HMM-based method

Flávio Bortolozzi, Robert Sabourin, Alceu de Souza Britto, 2003, International Journal on Document Analysis and Recognition.

Mathematical morphology and weighted least squares to correct handwriting baseline skew

Flávio Bortolozzi, Robert Sabourin, Jacques Facon, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces

Robert Sabourin, Alceu de Souza Britto, Albert Hung-Ren Ko, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Generation of Signatures by Deformations

Flávio Bortolozzi, Robert Sabourin, Celso A. A. Kaestner, 1997, BSDIA.

Human-perception handwritten character recognition using wavelets

Robert Sabourin, João Marques de Carvalho, Suzete E. N. Correia, 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.

An adaptive ensemble-based system for face recognition in person re-identification

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2015, Machine Vision and Applications.

Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers

Robert Sabourin, Patrick Maupin, Eulanda Miranda dos Santos, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Multi-label learning for dynamic model type recommendation

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Combining Hidden Markov Models for Improved Anomaly Detection

Robert Sabourin, Eric Granger, Ali Miri, 2009, 2009 IEEE International Conference on Communications.

Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2012, GECCO '12.

A New Segmentation Approach for Handwritten Digits

Luiz Eduardo Soares de Oliveira, Edouard Lethelier, Flávio Bortolozzi, 2000, ICPR.

Evaluation of incremental learning algorithms for an HMM-based handwritten isolated digits recognizer

Robert Sabourin, Alceu de Souza Britto, Ching Y. Suen, 2008 .

Transducer State Prediction System for Smart Environment Intelligent Control

George D. C. Cavalcanti, Robert Sabourin, Marcelo Bassani de Freitas, 2015, 2015 Brazilian Conference on Intelligent Systems (BRACIS).

Classification of cancerous cells based on the one-class problem approach

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1996, Defense + Commercial Sensing.

An extended-shadow-code based approach for off-line signature verification. II. Evaluation of several multi-classifier combination strategies

Robert Sabourin, Ginette Genest, 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.

Structural Interpretation of Handwritten Signature Images

Robert Sabourin, Réjean Plamondon, Louis Beaumier, 1994, Int. J. Pattern Recognit. Artif. Intell..

Adaptive skew-sensitive ensembles for face recognition in video surveillance

Dmitry O. Gorodnichy, Robert Sabourin, Eric Granger, 2015, Pattern Recognit..

A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features

Robert Sabourin, Adriano Lorena Inácio de Oliveira, Victor L. F. Souza, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation

Robert Sabourin, Eric Granger, Luana Batista, 2010, MCS.

Fixed-sized representation learning from offline handwritten signatures of different sizes

Robert Sabourin, Luiz G. Hafemann, Luiz S. Oliveira, 2018, International Journal on Document Analysis and Recognition (IJDAR).

Off-line signature verification using HMM for random, simple and skilled forgeries

Flávio Bortolozzi, Robert Sabourin, Edson José Rodrigues Justino, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Document reconstruction using dynamic programming

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Binary image compression using back-propagation neural network

Flávio Bortolozzi, Robert Sabourin, Nabeel A. Murshed, 1997 .

Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2014, 2014 22nd International Conference on Pattern Recognition.

A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers pdf

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2015, ArXiv.

An adaptive classification system for video-based face recognition

Robert Sabourin, Eric Granger, Jean-François Connolly, 2012, Inf. Sci..

Dynamic multi-objective evolution of classifier ensembles for video face recognition

Robert Sabourin, Eric Granger, Jean-François Connolly, 2013, Appl. Soft Comput..

Intelligent Watermarking with Multi-objective Population Based Incremental Learning

Robert Sabourin, Eric Granger, Bassem S. Rabil, 2010, 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

On dynamic ensemble selection and data preprocessing for multi-class imbalance learning pdf

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2018, ArXiv.

Writer verification using texture-based features

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Edson José Rodrigues Justino, 2011, International Journal on Document Analysis and Recognition (IJDAR).

Uma arquitetura multinivel para um sistema de reconhecimento de assinaturas usando modelos escondidos de Markov

Edson J. R. Justino, Flávio Bortolozzi, Robert Sabourin, 1998 .

Automatic recognition of handwritten dates on brazilian bank cheques

Robert Sabourin, Marisa Emika Morita, R. Sabourin, 2003 .

Automatic recognition of handwritten numerical strings

Luiz S. Oliveira, Robert Sabourin, R. Sabourin, 2003 .

The implication of data diversity for a classifier-free ensemble selection in random subspaces

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu de Souza Britto, 2008, 2008 19th International Conference on Pattern Recognition.

Evolving Classifier Ensembles using Dynamic Multi-objective Swarm Intelligence

Robert Sabourin, Eric Granger, Jean-François Connolly, 2013, ICPRAM.

Support vector machines for handwritten numerical string recognition

Luiz Eduardo Soares de Oliveira, Robert Sabourin, R. Sabourin, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Perceptual zoning for handwritten character recognition

Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi, Robert Sabourin, 2005 .

Prototype selection for dynamic classifier and ensemble selection

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2016, Neural Computing and Applications.

GBASE - a generalised database mangement system for CAD

Robert Sabourin, David A. Lowther, John L. Webb, 1986 .

Dynamic selection of classifiers - A comprehensive review

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2014, Pattern Recognit..

Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2014, ANNPR.

Decision tree-based paraconsistent learning

Robert Sabourin, Fabrício Enembreck, Bráulio Coelho Ávila, 1999, Proceedings. SCCC'99 XIX International Conference of the Chilean Computer Science Society.

Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks

Cinthia Obladen de Almendra Freitas, Robert Sabourin, Marcelo N. Kapp, 2007, Image Vis. Comput..

Segmentation visuelle des caractères manuscrits

Robert Sabourin, Mohamed Cheriet, R. Thibault, 1994 .

Segmentation and recognition of handwritten dates: an HMM-MLP hybrid approach

Flávio Bortolozzi, Robert Sabourin, Ching Y. Suen, 2003, Document Analysis and Recognition.

Dynamic voting in multi-view learning for radiomics applications

Robert Sabourin, Laurent Heutte, Hongliu Cao, 2018, S+SSPR.

An empirical study on diversity measures and margin theory for ensembles of classifiers

Robert Sabourin, Patrick Maupin, Marcelo N. Kapp, 2007, 2007 10th International Conference on Information Fusion.

Adapting dynamic classifier selection for concept drift

Luiz Eduardo Soares de Oliveira, Robert Sabourin, Alceu S. Britto, 2018, Expert Syst. Appl..

A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning

Robert Sabourin, Eric Granger, Jean-François Connolly, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach

Robert Sabourin, Eric Granger, Luana Batista, 2010, International Journal on Document Analysis and Recognition (IJDAR).

A dynamic optimization approach for adaptive incremental learning

Robert Sabourin, Patrick Maupin, Marcelo N. Kapp, 2011, Int. J. Intell. Syst..

Intelligent watermarking systems : a survey

Robert Sabourin, Eric Granger, Eduardo Vellasques, 2010 .

Handwritten recognition with multiple classifiers for restricted lexicon

Cinthia Obladen de Almendra Freitas, Robert Sabourin, João Marques de Carvalho, 2004, Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing.

An investigation into the effects of label noise on Dynamic Selection algorithms

George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz, 2021, Inf. Fusion.

Optimal human-machine collaboration for enhanced cost-sensitive biometric authentication

Robert Sabourin, Johannes Coetzer, Jacques P. Swanepoel, 2021 .

Brazilian forensic letter database

Flávio Bortolozzi, Robert Sabourin, Luiz S. Oliveira, 2008 .

A Parallel Watermarking application on a G

Robert Sabourin, Edgar García Cano, S Rabil Bassem, 2013 .

Correcting handwriting baseline skew using direct methods on the weighted least squares

M. E. Morita, Flávio Bortolozzi, Robert Sabourin, 1999 .

Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm

Robert Sabourin, Patrick Maupin, G. Tremblay, 2004, ICPR 2004.