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ORCIDRobert Sabourin
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- affiliation: University of Quebec, Canada
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2020 – today
- 2024
[j110]Reza Davtalab, Rafael M. O. Cruz
, Robert Sabourin:
A scalable dynamic ensemble selection using fuzzy hyperboxes. Inf. Fusion 102: 102036 (2024)- [j109]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
A dynamic multiple classifier system using graph neural network for high dimensional overlapped data. Inf. Fusion 103: 102145 (2024) - [c218]Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Robust Handwritten Signature Representation with Continual Learning of Synthetic Data over Predefined Real Feature Space. ICDAR (2) 2024: 233-249 - 2023
- [j108]Talles Brito Viana, Victor L. F. Souza, Adriano Lorena Inácio de Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A multi-task approach for contrastive learning of handwritten signature feature representations. Expert Syst. Appl. 217: 119589 (2023) - [j107]Marcos Monteiro, Alceu de Souza Britto Junior, Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin:
Exploring diversity in data complexity and classifier decision spaces for pool generation. Inf. Fusion 89: 567-587 (2023) - [j106]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
OLP++: An online local classifier for high dimensional data. Inf. Fusion 90: 120-137 (2023) - [c217]Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz:
GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network. GbRPR 2023: 59-69 - 2022
- [j105]Felipe N. Walmsley, George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz:
An investigation into the effects of label noise on Dynamic Selection algorithms. Inf. Fusion 80: 104-120 (2022) - [c216]Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin:
Dynamic Ensemble Selection Using Fuzzy Hyperboxes. IJCNN 2022: 1-9 - [c215]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Local overlap reduction procedure for dynamic ensemble selection. IJCNN 2022: 1-9 - [c214]Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. IJCNN 2022: 1-9 - [i46]Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin:
Dynamic Ensemble Selection Using Fuzzy Hyperboxes. CoRR abs/2205.10438 (2022) - [i45]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Local overlap reduction procedure for dynamic ensemble selection. CoRR abs/2206.08455 (2022) - 2021
- [j104]Andre G. Hochuli, Alceu S. Britto Jr., David A. Saji, Jose M. Saavedra, Robert Sabourin, Luiz S. Oliveira:
A comprehensive comparison of end-to-end approaches for handwritten digit string recognition. Expert Syst. Appl. 165: 114196 (2021) - [j103]Pawel Zyblewski, Robert Sabourin, Michal Wozniak:
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. Inf. Fusion 66: 138-154 (2021) - [j102]Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto Jr., Robert Sabourin:
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation. IEEE Trans. Inf. Forensics Secur. 16: 1335-1350 (2021) - 2020
- [j101]Ronan Assumpção Silva, Alceu de Souza Britto Jr., Fabrício Enembreck, Robert Sabourin, Luiz Eduardo Soares de Oliveira:
CSBF: A static ensemble fusion method based on the centrality score of complex networks. Comput. Intell. 36(2): 522-556 (2020) - [j100]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. Expert Syst. Appl. 154: 113397 (2020) - [j99]Ronan Assumpção Silva, Alceu S. Britto Jr., Fabrício Enembreck, Robert Sabourin, Luiz S. Oliveira:
Selecting and Combining Classifiers Based on Centrality Measures. Int. J. Artif. Intell. Tools 29(03n04): 2060004:1-2060004:25 (2020) - [j98]Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti:
DESlib: A Dynamic ensemble selection library in Python. J. Mach. Learn. Res. 21: 8:1-8:5 (2020) - [j97]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Meta-Learning for Fast Classifier Adaptation to New Users of Signature Verification Systems. IEEE Trans. Inf. Forensics Secur. 15: 1735-1745 (2020) - [c213]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. GECCO Companion 2020: 69-70 - [c212]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR 2020: 1344-1351 - [c211]Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin:
Classifier Pool Generation based on a Two-level Diversity Approach. ICPR 2020: 2414-2421 - [c210]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. ICPR 2020: 7478-7485 - [c209]Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Robert Sabourin, Luiz E. S. Oliveira:
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. IJCNN 2020: 1-8 - [c208]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. IJCNN 2020: 1-10 - [i44]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. CoRR abs/2004.00558 (2020) - [i43]Andre G. Hochuli, Alceu S. Britto Jr., Jean Paul Barddal, Luiz E. S. Oliveira, Robert Sabourin:
An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings. CoRR abs/2004.03337 (2020) - [i42]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. CoRR abs/2004.03370 (2020) - [i41]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. CoRR abs/2004.03373 (2020) - [i40]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR abs/2007.02572 (2020) - [i39]Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte:
Random Forest for Dissimilarity-based Multi-view Learning. CoRR abs/2007.08377 (2020) - [i38]Teruo M. Maruyama, Luiz S. Oliveira, Alceu S. Britto Jr., Robert Sabourin:
Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation. CoRR abs/2010.06663 (2020) - [i37]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. CoRR abs/2010.10025 (2020) - [i36]Andre G. Hochuli, Alceu S. Britto Jr., David A. Saji, Jose M. Saavedra, Robert Sabourin, Luiz S. Oliveira:
A Comprehensive Comparison of End-to-End Approaches for Handwritten Digit String Recognition. CoRR abs/2010.15904 (2020) - [i35]Marcos Monteiro, Alceu S. Britto Jr., Jean Paul Barddal, Luiz S. Oliveira, Robert Sabourin:
Classifier Pool Generation based on a Two-level Diversity Approach. CoRR abs/2011.01908 (2020)
2010 – 2019
- 2019
- [j96]Rafael M. O. Cruz, Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti:
Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940009:1-1940009:29 (2019) - [j95]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection. Pattern Recognit. 85: 132-148 (2019) - [j94]Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection. Pattern Recognit. 85: 149-160 (2019) - [j93]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88: 185-197 (2019) - [j92]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification. IEEE Trans. Inf. Forensics Secur. 14(8): 2153-2166 (2019) - [c207]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CVPR 2019: 4322-4330 - [c206]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
Characterization of Handwritten Signature Images in Dissimilarity Representation Space. ICCS (3) 2019: 192-206 - [c205]Regis Antonio Saraiva Albuquerque, Albert Franca Josua Costa, Eulanda Miranda dos Santos, Robert Sabourin, Rafael Giusti:
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift. ICTAI 2019: 1132-1139 - [c204]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On evaluating the online local pool generation method for imbalance learning. IJCNN 2019: 1-8 - [c203]Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. IJCNN 2019: 1-9 - [c202]Pawel Zyblewski, Robert Sabourin, Michal Wozniak:
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. PKDD/ECML Workshops (2) 2019: 367-379 - [i34]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification. CoRR abs/1901.03398 (2019) - [i33]Regis Antonio Saraiva Albuquerque, Albert Franca Josua Costa, Eulanda Miranda dos Santos, Robert Sabourin, Rafael Giusti:
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift. CoRR abs/1909.12185 (2019) - [i32]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Meta-learning for fast classifier adaptation to new users of Signature Verification systems. CoRR abs/1910.08060 (2019) - 2018
- [j91]Paulo R. L. Almeida, Luiz S. Oliveira, Alceu S. Britto Jr., Robert Sabourin:
Adapting dynamic classifier selection for concept drift. Expert Syst. Appl. 104: 67-85 (2018) - [j90]Luiz G. Hafemann, Luiz S. Oliveira, Robert Sabourin:
Fixed-sized representation learning from offline handwritten signatures of different sizes. Int. J. Document Anal. Recognit. 21(3): 219-232 (2018) - [j89]Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
A study on combining dynamic selection and data preprocessing for imbalance learning. Neurocomputing 286: 179-192 (2018) - [j88]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Dynamic classifier selection: Recent advances and perspectives. Inf. Fusion 41: 195-216 (2018) - [j87]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Prototype selection for dynamic classifier and ensemble selection. Neural Comput. Appl. 29(2): 447-457 (2018) - [j86]Andre L. Brun, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin:
A framework for dynamic classifier selection oriented by the classification problem difficulty. Pattern Recognit. 76: 175-190 (2018) - [j85]Andre G. Hochuli, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin:
Handwritten digit segmentation: Is it still necessary? Pattern Recognit. 78: 1-11 (2018) - [c201]Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin:
A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features. BRACIS 2018: 212-217 - [c200]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR 2018: 779-787 - [c199]Ronan Assumpção Silva, Alceu S. Britto Jr., Fabrício Enembreck, Robert Sabourin, Luis S. Oliveira:
Fusion of Classifiers Based on Centrality Measures. ICTAI 2018: 363-370 - [c198]Jefferson G. Martins, Luiz S. Oliveira, Robert Sabourin, Alceu S. Britto Jr.:
Forest Species Recognition Based on Ensembles of Classifiers. ICTAI 2018: 371-378 - [c197]Marcelo Pereira, Alceu S. Britto Jr., Luiz S. Oliveira, Robert Sabourin:
Dynamic Ensemble Selection by K-Nearest Local Oracles with Discrimination Index. ICTAI 2018: 765-771 - [c196]Andre G. Hochuli, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin:
Segmentation-Free Approaches For Handwritten Numeral String Recognition. IJCNN 2018: 1-8 - [c195]Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin:
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. IJCNN 2018: 1-8 - [c194]Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Ensemble Generation Method Based on Instance Hardness. IJCNN 2018: 1-8 - [c193]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR 2018: 32-41 - [i31]Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti:
DESlib: A Dynamic ensemble selection library in Python. CoRR abs/1802.04967 (2018) - [i30]Saman Bashbaghi, Eric Granger, Robert Sabourin, Mostafa Parchami:
Deep Learning Architectures for Face Recognition in Video Surveillance. CoRR abs/1802.09990 (2018) - [i29]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR abs/1803.03877 (2018) - [i28]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dissimilarity-based representation for radiomics applications. CoRR abs/1803.04460 (2018) - [i27]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR abs/1803.11241 (2018) - [i26]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Fixed-sized representation learning from Offline Handwritten Signatures of different sizes. CoRR abs/1804.00448 (2018) - [i25]Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin:
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. CoRR abs/1804.06943 (2018) - [i24]Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin:
An Ensemble Generation Method Based on Instance Hardness. CoRR abs/1804.07419 (2018) - [i23]Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti:
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance? CoRR abs/1804.07882 (2018) - [i22]Andre G. Hochuli, Luiz E. S. Oliveira, Alceu S. Britto Jr., Robert Sabourin:
Segmentation-Free Approaches for Handwritten Numeral String Recognition. CoRR abs/1804.09279 (2018) - [i21]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic voting in multi-view learning for radiomics applications. CoRR abs/1806.07686 (2018) - [i20]Victor L. F. Souza, Adriano L. I. Oliveira, Robert Sabourin:
A writer-independent approach for offline signature verification using deep convolutional neural networks features. CoRR abs/1807.10755 (2018) - [i19]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection: an extended version. CoRR abs/1809.01628 (2018) - [i18]Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection. CoRR abs/1810.00520 (2018) - [i17]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren:
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. CoRR abs/1810.01270 (2018) - [i16]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. CoRR abs/1811.00217 (2018) - [i15]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. CoRR abs/1811.00677 (2018) - [i14]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach. CoRR abs/1811.01742 (2018) - [i13]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On Meta-Learning for Dynamic Ensemble Selection. CoRR abs/1811.01743 (2018) - [i12]Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger:
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses. CoRR abs/1811.09600 (2018) - [i11]Rafael M. O. Cruz, Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti:
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR abs/1811.10481 (2018) - 2017
- [j84]George S. Eskander Ekladious, Robert Sabourin, Eric Granger:
Learning Global-Local Distance Metrics for Signature-Based Biometric Cryptosystems. Cryptogr. 1(3): 22 (2017) - [j83]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection. Inf. Fusion 38: 84-103 (2017) - [j82]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations. Mach. Vis. Appl. 28(1-2): 219-241 (2017) - [j81]Moisés Díaz Cabrera, Miguel A. Ferrer, George S. Eskander, Robert Sabourin:
Generation of Duplicated Off-Line Signature Images for Verification Systems. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 951-964 (2017) - [j80]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Dynamic ensembles of exemplar-SVMs for still-to-video face recognition. Pattern Recognit. 69: 61-81 (2017) - [j79]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Learning features for offline handwritten signature verification using deep convolutional neural networks. Pattern Recognit. 70: 163-176 (2017) - [j78]Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognit. 72: 44-58 (2017) - [c192]Saman Bashbaghi, Eric Granger, Robert Sabourin, Guillaume-Alexandre Bilodeau:
Dynamic Selection of Exemplar-SVMs for Watch-list Screening through Domain Adaptation. ICPRAM 2017: 738-745 - [c191]Julien-Charles Levesque, Audrey Durand, Christian Gagné, Robert Sabourin:
Bayesian optimization for conditional hyperparameter spaces. IJCNN 2017: 286-293 - [c190]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On the characterization of the Oracle for dynamic classifier selection. IJCNN 2017: 332-339 - [c189]Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich:
A two-step cascade classification method. IJCNN 2017: 573-580 - [c188]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. IJCNN 2017: 3959-3966 - [c187]Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti:
Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance? IPTA 2017: 1-6 - [c186]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Offline handwritten signature verification - Literature review. IPTA 2017: 1-8 - [i10]Mathieu Beauchemin-Turcotte, Guy Gauthier, Robert Sabourin:
Automatic Temperature Setpoint Tuning of a Thermoforming Machine using Fuzzy Terminal Iterative Learning Control. CoRR abs/1703.09789 (2017) - [i9]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks. CoRR abs/1705.05787 (2017) - 2016
- [j77]Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Meta-learning recommendation of default size of classifier pool for META-DES. Neurocomputing 216: 351-362 (2016) - [j76]M. Ali Akber Dewan, Eric Granger, Gian Luca Marcialis, Robert Sabourin, Fabio Roli:
Adaptive appearance model tracking for still-to-video face recognition. Pattern Recognit. 49: 129-151 (2016) - [j75]Simon Bernard, Clément Chatelain, Sébastien Adam, Robert Sabourin:
The Multiclass ROC Front method for cost-sensitive classification. Pattern Recognit. 52: 46-60 (2016) - [c185]Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Meta-regression based pool size prediction scheme for dynamic selection of classifiers. ICPR 2016: 216-221 - [c184]Moisés Díaz Cabrera, Miguel A. Ferrer, Robert Sabourin:
Approaching the intra-class variability in multi-script static signature evaluation. ICPR 2016: 1147-1152 - [c183]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Analyzing features learned for Offline Signature Verification using Deep CNNs. ICPR 2016: 2989-2994 - [c182]Diego Bertolini, Luiz S. Oliveira, Robert Sabourin:
Multi-script writer identification using dissimilarity. ICPR 2016: 3025-3030 - [c181]Clément Dubos, Simon Bernard, Sébastien Adam, Robert Sabourin:
ROC-based cost-sensitive classification with a reject option. ICPR 2016: 3320-3325 - [c180]Paulo Ricardo Lisboa de Almeida, Luiz S. Oliveira, Alceu de Souza Britto Jr., Robert Sabourin:
Handling Concept Drifts Using Dynamic Selection of Classifiers. ICTAI 2016: 989-995 - [c179]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks. IJCNN 2016: 2576-2583 - [c178]Andre L. Brun, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin:
Contribution of data complexity features on dynamic classifier selection. IJCNN 2016: 4396-4403 - [c177]Julien-Charles Levesque, Christian Gagné, Robert Sabourin:
Bayesian Hyperparameter Optimization for Ensemble Learning. UAI 2016 - [p3]Eduardo Vellasques, Robert Sabourin, Eric Granger:
A Dual-Purpose Memory Approach for Dynamic Particle Swarm Optimization of Recurrent Problems. Recent Advances in Computational Intelligence in Defense and Security 2016: 367-389 - [i8]Luiz G. Hafemann, Robert Sabourin, Luiz S. Oliveira:
Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks. CoRR abs/1604.00974 (2016) - [i7]Julien-Charles Levesque, Christian Gagné, Robert Sabourin:
Bayesian Hyperparameter Optimization for Ensemble Learning. CoRR abs/1605.06394 (2016) - [i6]