CV

Education

• B.S. in Computer Science, Universidade Federal de Pernambuco, 2008
• M.S. in Computer Science, Universidade Federal de Pernambuco, 2011
• Ph.D in Engineering - Machine Learning, École de Techologie Supérieure, 2016

Work experience

• August 2018 - April 2020: Research Scientist
  • Stradigi AI
  • Duties included:
• June 2016 - July 2018: Postdoctoral fellow
  • École de Technologis Supérieure (LIVIA)
  • Supervision of Prof. Robert Sabourin and Prof. George Cavalcanti

Publications

An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques

Rafael Cruz, George Cavalcanti, Tsang Ren, "An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques." In the proceedings of The 2010 International Joint Conference on Neural Networks (IJCNN), 2010.

Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble

Rafael Cruz, George Cavalcanti, Tsang Ren, "Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble." In the proceedings of 17th International conference on systems, signals and image processing, 2010.

A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence

Rafael Cruz, George Cavalcanti, Tsang Ren, "A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence." In the proceedings of The 2011 International Joint Conference on Neural Networks, 2011.

Feature representation selection based on classifier projection space and oracle analysis

Rafael Cruz, George Cavalcanti, Ren Tsang, Robert Sabourin, "Feature representation selection based on classifier projection space and oracle analysis." Expert Systems with Applications, 2013.

Analyzing dynamic ensemble selection techniques using dissimilarity analysis

Rafael Cruz, Robert Sabourin, George Cavalcanti, "Analyzing dynamic ensemble selection techniques using dissimilarity analysis." In the proceedings of IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 2014.

On meta-learning for dynamic ensemble selection

Rafael Cruz, Robert Sabourin, George Cavalcanti, "On meta-learning for dynamic ensemble selection." In the proceedings of 2014 22nd International Conference on Pattern Recognition, 2014.

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

Rafael Cruz, Robert Sabourin, George Cavalcanti, "A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers." arXiv preprint arXiv:1509.00825, 2015.

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

Rafael Cruz, Robert Sabourin, George Cavalcanti, Tsang Ren, "META-DES: A dynamic ensemble selection framework using meta-learning." Pattern recognition, 2015.

META-DES. H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach

Rafael Cruz, Robert Sabourin, George Cavalcanti, "META-DES. H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach." In the proceedings of 2015 International Joint Conference on Neural Networks (IJCNN), 2015.

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

Anandarup Roy, Rafael Cruz, Robert Sabourin, George Cavalcanti, "Meta-learning recommendation of default size of classifier pool for META-DES." Neurocomputing, 2016.

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

Anandarup Roy, Rafael Cruz, Robert Sabourin, George Cavalcanti, "Meta-regression based pool size prediction scheme for dynamic selection of classifiers." In the proceedings of 2016 23rd International Conference on Pattern Recognition (ICPR), 2016.

Analyzing different prototype selection techniques for dynamic classifier and ensemble selection

Rafael Cruz, Robert Sabourin, George Cavalcanti, "Analyzing different prototype selection techniques for dynamic classifier and ensemble selection." In the proceedings of 2017 international joint conference on neural networks (IJCNN), 2017.

Dynamic ensemble selection vs k-nn: why and when dynamic selection obtains higher classification performance?

Rafael Cruz, Hiba Zakane, Robert Sabourin, George Cavalcanti, "Dynamic ensemble selection vs k-nn: why and when dynamic selection obtains higher classification performance?." In the proceedings of 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017.

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

Rafael Cruz, Robert Sabourin, George Cavalcanti, "META-DES. Oracle: Meta-learning and feature selection for dynamic ensemble selection." Information fusion, 2017.

On the characterization of the oracle for dynamic classifier selection

Mariana Souza, George Cavalcanti, Rafael Cruz, Robert Sabourin, "On the characterization of the oracle for dynamic classifier selection." In the proceedings of 2017 International Joint Conference on Neural Networks (IJCNN), 2017.

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

Anandarup Roy, Rafael Cruz, Robert Sabourin, George Cavalcanti, "A study on combining dynamic selection and data preprocessing for imbalance learning." Neurocomputing, 2018.

An ensemble generation method based on instance hardness

Felipe Walmsley, George Cavalcanti, Dayvid Oliveira, Rafael Cruz, Robert Sabourin, "An ensemble generation method based on instance hardness." In the proceedings of 2018 international joint conference on neural networks (IJCNN), 2018.

Dynamic classifier selection: Recent advances and perspectives

Rafael Cruz, Robert Sabourin, George Cavalcanti, "Dynamic classifier selection: Recent advances and perspectives." Information Fusion, 2018.

K-nearest oracles borderline dynamic classifier ensemble selection

Dayvid Oliveira, George Cavalcanti, Thyago Porpino, Rafael Cruz, Robert Sabourin, "K-nearest oracles borderline dynamic classifier ensemble selection." In the proceedings of 2018 International Joint Conference on Neural Networks (IJCNN), 2018.

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

Mariana Souza, George Cavalcanti, Rafael Cruz, Robert Sabourin, "Online local pool generation for dynamic classifier selection: an extended version." arXiv preprint arXiv:1809.01628, 2018.

Prototype selection for dynamic classifier and ensemble selection

Rafael Cruz, Robert Sabourin, George Cavalcanti, "Prototype selection for dynamic classifier and ensemble selection." Neural Computing and Applications, 2018.

Characterization of handwritten signature images in dissimilarity representation space

Victor Souza, Adriano Oliveira, Rafael Cruz, Robert Sabourin, "Characterization of handwritten signature images in dissimilarity representation space." In the proceedings of International Conference on Computational Science, 2019.

Dynamic ensemble selection and data preprocessing for multi-class imbalance learning

Rafael Cruz, Mariana Souza, Robert Sabourin, George Cavalcanti, "Dynamic ensemble selection and data preprocessing for multi-class imbalance learning." International Journal of Pattern Recognition and Artificial Intelligence, 2019.

FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection

Rafael Cruz, Dayvid Oliveira, George Cavalcanti, Robert Sabourin, "FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection." Pattern Recognition, 2019.

On dissimilarity representation and transfer learning for offline handwritten signature verification

Victor Souza, Adriano Oliveira, Rafael Cruz, Robert Sabourin, "On dissimilarity representation and transfer learning for offline handwritten signature verification." In the proceedings of 2019 International Joint Conference on Neural Networks (IJCNN), 2019.

On evaluating the online local pool generation method for imbalance learning

Mariana Souza, George Cavalcanti, Rafael Cruz, Robert Sabourin, "On evaluating the online local pool generation method for imbalance learning." In the proceedings of 2019 International Joint Conference on Neural Networks (IJCNN), 2019.

Online local pool generation for dynamic classifier selection

Mariana Souza, George Cavalcanti, Rafael Cruz, Robert Sabourin, "Online local pool generation for dynamic classifier selection." Pattern Recognition, 2019.

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

Victor Souza, Adriano Oliveira, Rafael Cruz, Robert Sabourin, "A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification." Expert Systems with Applications, 2020.

An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification

Victor Souza, Adriano Oliveira, Rafael Cruz, Robert Sabourin, "An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification." In the proceedings of International Conference on Pattern Recognition (ICPR), 2020.

DESlib: A Dynamic ensemble selection library in Python

Rafael Cruz, Luiz Hafemann, Robert Sabourin, George Cavalcanti, "DESlib: A Dynamic ensemble selection library in Python." Journal of Machine Learning Research, 2020.

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

Victor Souza, Adriano Oliveira, Rafael Cruz, Robert Sabourin, "Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control." In the proceedings of Genetic and Evolutionary Computation Conference (GECCO), 2020.

Multi-label learning for dynamic model type recommendation

Mariana Souza, Robert Sabourin, George Cavalcanti, Rafael Cruz, "Multi-label learning for dynamic model type recommendation." In the proceedings of International Joint Conference on Neural Networks, 2020.

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

Felipe Walmsley, George Cavalcanti, Robert Sabourin, Rafael Cruz, "An investigation into the effects of label noise on Dynamic Selection algorithms." Information Fusion, 2022.

Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification

Talles Vianna, Victor Souza, Adriano Oliveira, Rafael MO, Robert Sabourin, "Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2022.

Dynamic Ensemble Selection Using Fuzzy Hyperboxes

Reza Davtalab, Rafael Cruz, Robert Sabourin, "Dynamic Ensemble Selection Using Fuzzy Hyperboxes." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2022.

Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking

Madhu Kiran, Le Nguyen-Meidine, Rajat Sahay, Rafael Cruz, Louis-Antoine Blais-Morin, Eric Granger, "Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking." In the proceedings of 2022 International Joint Conference on Neural Networks (IJCNN), 2022.

Generative Target Update for Adaptive Siamese Tracking

Madhu Kiran, Le Nguyen-Meidine, Rajat Sahay, Rafael Cruz, Louis-Antoine Blais-Morin, Eric Granger, "Generative Target Update for Adaptive Siamese Tracking." In the proceedings of International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2022.

Local overlap reduction procedure for dynamic ensemble selection

Mariana Souza, Robert Sabourin, George Cavalcanti, Rafael Cruz, "Local overlap reduction procedure for dynamic ensemble selection." In the proceedings of International Joint Conference on Neural Networks (IJCNN), 2022.

Selecting and combining complementary feature representations and classifiers for hate speech detection

Rafael Cruz, Woshington Sousa, George Cavalcanti, "Selecting and combining complementary feature representations and classifiers for hate speech detection." Online Social Networks and Media, 2022.

Talks

Dynamic Classifier Selection: Recent Advances and Perspectives

June 01, 2018

Talk at International Joint Conference On Neural Networks (ICJCNN), Rio de Janeiro, Brazil

Multiple classifier systems challenges and applications (In Portuguese)

April 13, 2021

Talk at Webinar CIn.AI, Youtube

Teaching

LOG635 - Systèmes Intelligents et Apprentissage Machine

LOG645 - Architectures de calculs parallèles

SYS828 - Systèmes Biometriques