2026 Robert Sabourin: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	69	1998	1936	74	68	456	16192

Research.com Recognitions

2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award

Overview

Robert Sabourin is affiliated with the École de Technologie Supérieure in Canada and primarily works in the field of Computer Science, with a significant focus on Artificial Intelligence. Their research spans various subfields including Computer Vision and Pattern Recognition, Signal Processing, Media Technology, and Computational Theory and Mathematics.

The main topics addressed in their work include Handwritten Text Recognition Techniques, Machine Learning and Data Classification, Data Stream Mining Techniques, Imbalanced Data Classification Techniques, Domain Adaptation and Few-Shot Learning, Face and Expression Recognition, and Natural Language Processing Techniques.

Sabourin's recent publications demonstrate diverse research interests, particularly in pattern recognition, dynamic classification, and ensemble methods. Notable recent papers include:

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams, 2020, Information Fusion
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification, 2020, Expert Systems with Applications
A multi-task approach for contrastive learning of handwritten signature feature representations, 2023, Expert Systems with Applications
OLP++: An online local classifier for high dimensional data, 2022, Information Fusion
A scalable dynamic ensemble selection using fuzzy hyperboxes, 2023, Information Fusion

Their study has appeared frequently in various venues, with the most publications found in arXiv (Cornell University), Information Fusion, and Expert Systems with Applications. They have also contributed several papers to the International Joint Conference on Neural Networks (IJCNN) and the International Journal of Artificial Intelligence Tools.

Throughout their career, Sabourin has collaborated extensively with a range of co-authors, including Rafael M. O. Cruz, Victor L. F. Souza, Adriano L. I. Oliveira, Alceu S. Britto, and George D. C. Cavalcanti. These collaborations reflect connections within key research areas of machine learning and pattern recognition.

Best Publications

From dynamic classifier selection to dynamic ensemble selection

Albert H. R. Ko;Robert Sabourin;Alceu Souza Britto

550
Citations
Dynamic classifier selection

Rafael M.O. Cruz;Robert Sabourin;George D.C. Cavalcanti

498
Citations
Learning features for offline handwritten signature verification using deep convolutional neural networks

Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

394
Citations
Dynamic selection of classifiers-A comprehensive review

Alceu S. Britto;Alceu S. Britto;Robert Sabourin;Luiz E. S. Oliveira

374
Citations
“One Against One” or “One Against All”: Which One is Better for Handwriting Recognition with SVMs?

Jonathan Milgram;Mohamed Cheriet;Robert Sabourin

358
Citations
Automatic recognition of handwritten numerical strings: a recognition and verification strategy

L.S. Oliveira;R. Sabourin;F. Bortolozzi;C.Y. Suen

325
Citations
A comparison of SVM and HMM classifiers in the off-line signature verification

Edson J. R. Justino;Flávio Bortolozzi;Robert Sabourin

318
Citations
Off-line signature verification using HMM for random, simple and skilled forgeries

E.J.R. Justino;F. Bortolozzi;R. Sabourin

302
Citations
An HMM-based approach for off-line unconstrained handwritten word modeling and recognition

A. El-Yacoubi;M. Gilloux;R. Sabourin;C.Y. Suen

300
Citations
Large vocabulary off-line handwriting recognition: A survey

A. L. Koerich;R. Sabourin;C. Y. Suen

285
Citations
Optimization of HVAC Control System Strategy Using Two-Objective Genetic Algorithm

Nabil Nassif;Stanislaw Kajl;Robert Sabourin

273
Citations
Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers

D. Bertolini;L. S. Oliveira;E. Justino;R. Sabourin

272
Citations
Offline handwritten signature verification — Literature review

Luiz G. Hafemann;Robert Sabourin;Luiz S. Oliveira

268
Citations
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Jerome Rony;Luiz G. Hafemann;Luiz S. Oliveira;Ismail Ben Ayed

261
Citations
META-DES

Rafael M.O. Cruz;Robert Sabourin;George D.C. Cavalcanti;Tsang Ing Ren

248
Citations
Off-line signature verification by local granulometric size distributions

R. Sabourin;G. Genest;F.J. Preteux

243
Citations
A METHODOLOGY FOR FEATURE SELECTION USING MULTIOBJECTIVE GENETIC ALGORITHMS FOR HANDWRITTEN DIGIT STRING RECOGNITION

Luiz E. Soares de Oliveira;Robert Sabourin;Flávio Bortolozzi;Ching Y. Suen

227
Citations
Texture-based descriptors for writer identification and verification

D. Bertolini;L.S. Oliveira;E. Justino;R. Sabourin

220
Citations
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles

Eulanda M. Dos Santos;Robert Sabourin;Patrick Maupin

211
Citations
A neural network approach to off-line signature verification using directional PDF

Jean-Pierre Drouhard;Robert Sabourin;Mario Godbout

198
Citations

Frequent Co-Authors

Eric Granger École de Technologie Supérieure

Luiz S. Oliveira Federal University of Paraná

Ching Y. Suen Concordia University

Alessandro L. Koerich École de Technologie Supérieure

Gian Luca Marcialis University of Cagliari

Fabio Roli University of Genoa

Mohamed Cheriet École de Technologie Supérieure

Réjean Plamondon Polytechnique Montréal

Ali Miri Toronto Metropolitan University

Francois Gagnon École de Technologie Supérieure

External Links

Personal website of Robert Sabourin Google Scholar page

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