Rafael Menelau Oliveira Cruz
Professeur
Département
Département de génie logiciel et TI
Formation
B.Sc., M.Sc. (Universidade Federal de Pernambuco), Ph.D. (ÉTS)
Bureau
A-4620
Courriel
Présentation
Unité de recherche
Axes de recherche
- Systèmes intelligents et autonomes
- Systèmes logiciels, multimédia et cybersécurité
Expertises
- Apprentissage machine
- Reconnaissance de formes
- Ensemble de classificateurs
- Sélection dynamique de classificateurs
- Fusion de données multimodale
- Méta-apprentissage
- Apprentissage automatique automatisé (AutoML)
- Apprentissage incrémental et détection de changements
- Traitement de Language Naturelle -
- Optimisation multi-objectifs et métaheuristiques
- Biométrie
- Vérification des signatures manuscrites
Cours et encadrements
Encadrements
- En codirection avec : Paulo Salgado Gomes de Mattos Neto
A Framework for Adaptive and Cost-Efficient Nonstationary Time Series Forecasting, par Guilherme Afonso Galindo Padilha
Automne 2026 - En codirection avec : Silvio Melhado
Construction Project Governance and Sustainability: An Artificial Intelligence and Agent-based Systems Approach, par Guilherme Quinilato Baldessin
Automne 2026 - En codirection avec : Éric Granger
Metric Learning with Siamese Networks for Person Re-Identification and Object Tracking, par Madhu Kiran Madhu Kiran
Été 2024 - En codirection avec : Robert Sabourin
Local Learning for Dynamic Ensemble Selection, par Mariana De Araujo Souza
Automne 2023 - En codirection avec : Éric Granger
Gradual Domain Generalization for Visible-Infrared Person Re-Identification, par Mahdi Alehdaghi
Automne 2025 - En codirection avec : Robert Sabourin
Handling Handwritten Signature Verification in Data-Streams Contexts, par Kecia Gomes De Moura
Automne 2026 - En codirection avec : Luiz Gustavo-Hafemann
Multi-View Learning for Expressive Speech-Driven 3D Facial Animation, par Arthur Josi
Automne 2026 - En codirection avec : Robert Sabourin
Dynamic Ensemble Selection for Data Streams with Concept Drift, par Eduardo Lima Barboza
Automne 2026 - Développement d'algorithmes d'intelligence artificielle contextuelle et hybride pour l'automatisation de la gestion du diabète de type 1 (Pancréas Artificiel), par Abderraouf Haddouni
Automne 2026
- En codirection avec : Patrick Cardinal
Identification des dialectes arabes avec la sélection dynamique de classifieurs, par Pierre-Marc Thibault
Automne 2021 - En codirection avec : Éric Granger
Multi-Target Domain Adaptation for Person Re-Identification, par Félix Remigereau
Été 2023 - En codirection avec : Éric Granger
Deep Visual-Infrared Fusion for Multimodal Person Re-Identification in the Wild, par Arthur Josi
Été 2023 - En codirection avec : George Cavalcanti
Fake News Detection using Dynamic Multi-view and Ensemble Selection System, par Faramarz Farhangian
Hiver 2024 - Meta-learning recommendation system for automating the process of selecting the best pool and a dynamic classifier selection algorithm, par Hesam Jalalian
Automne 2023 - Dynamic Ensemble Selection using Fuzzy Min-Max Hyperboxes, par Reza Davtalab
Automne 2023 - Implicit Hate Speech Detection, par Camila Barbosa Vieira
Automne 2026 - Causal Prototype Learning for Tabular Foundation Models, par José Vinicius De Santana Souza
Automne 2026
- Classification des pistes radars par Machine Learning, par Audrey Traore
Hiver 2025
- Détection embarquée des panneaux de stationnement, par Léo Fornoff
Été 2026 - En codirection avec : Kamal Al-Haddad
Développement de modèles fondation multimodales utilisant l’apprentissage auto-supervisé pour la surveillance des actifs de production d’énergie, par Mohammed Nadir Bouakel
Hiver 2025
- Surveillance des infrastructures côtières naturelles à l'aide de caméras à faible coût et de méthodes d'apprentissage automatique, par Yassine Harisse
Été 2023
- Déploiement d'une application Web de recherche de visage avec apprentissage continu en utilisant MLOps, par Yassine Harisse
Été 2023
Publications
Publications
- Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Pourya Shamsolameli, Eric Granger. 2025 « Adaptive generation of privileged intermediate information for visible-infrared person re-identification ». IEEE Transactions on Information Forensics and Security vol. 20. p. 3400-3413
- Juscimara G. Avelino, George D. C. Cavalcanti, Rafael M. O. Cruz. 2025 « Imbalanced regression pipeline recommendation ». Machine Learning vol. 114 , nº 6
- Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto, Robert Sabourin, Rafael M. O. Cruz. 2025 « IncA-DES: An incremental and adaptive dynamic ensemble selection approach using online K-d tree neighborhood search for data streams with concept drift ». Information Fusion vol. 123
- Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz. 2025 « Meta-scaler: A meta-learning framework for the selection of scaling techniques ». IEEE Transactions on Neural Networks and Learning Systems vol. 36 , nº 3. p. 4805-4819
- Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger. 2025 « Fusion for visual-infrared person ReID in real-world surveillance using corrupted multimodal data ». International Journal of Computer Vision
- Juscimara G. Avelino, George D. C. Cavalcanti, Rafael M. O. Cruz. 2024 « Resampling strategies for imbalanced regression: a survey and empirical analysis ». Artificial Intelligence Review vol. 57 , nº 4
- Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin. 2024 « A scalable dynamic ensemble selection using fuzzy hyperboxes ». Information Fusion vol. 102
- Leandro A. Ensina, Luiz E. S. de Oliveira, Rafael M. O. Cruz, G. D. C. Cavalcanti. 2024 « Fault distance estimation for transmission lines with dynamic regressor selection ». Neural Computing and Applications vol. 36 , nº 4. p. 1741-1759
- Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti. 2024 « Fake news detection: Taxonomy and comparative study ». Information Fusion vol. 103
- Mariana A. Souza, Robert Sabourin, Geroge D. C. Cavalcanti, Rafael M. O. Cruz. 2024 « A dynamic multiple classifier system using graph neural network for high dimensional overlapped data ». Information Fusion vol. 103
- Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023 « Dynamic ensemble algorithm post-selection using hardness-aware oracle ». IEEE Access vol. 11. p. 86056-86070
- Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023 « The choice of scaling technique matters for classification performance ». Applied Soft Computing vol. 133
- Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023 « Security relevant methods of Android's API classification: A machine learning empirical evaluation ». IEEE Transactions on Computers vol. 72 , nº 11. p. 3273-3285
- Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023 « OLP++: An online local classifier for high dimensional data ». Information Fusion vol. 90. p. 120-137
- Talles B. Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2023 « A multi-task approach for contrastive learning of handwritten signature feature representations ». Expert Systems with Applications vol. 217
- Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti. 2022 « Selecting and combining complementary feature representations and classifiers for hate speech detection ». Online Social Networks and Media vol. 28
- Felipe N. Walmsley, George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz. 2022 « An investigation into the effects of label noise on Dynamic Selection algorithms ». Information Fusion vol. 80. p. 104-120
- Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti. 2020 « DESlib: A dynamic ensemble selection library in python ». Journal of Machine Learning Research vol. 21
- Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2020 « A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification ». Expert Systems with Applications vol. 154
- Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin. 2019 « FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection ». Pattern Recognition vol. 85. p. 149-160
- Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti. 2019 « Dynamic ensemble selection and data preprocessing for multi-class imbalance learning ». International Journal of Pattern Recognition and Artificial Intelligence vol. 33 , nº 11
- Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2019 « Online local pool generation for dynamic classifier selection ». Pattern Recognition vol. 85. p. 132-148
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018 « Dynamic classifier selection: Recent advances and perspectives ». Information Fusion vol. 41. p. 195-216
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018 « Prototype selection for dynamic classifier and ensemble selection ». Neural Computing and Applications vol. 29 , nº 2. p. 447-457
- Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018 « A study on combining dynamic selection and data preprocessing for imbalance learning ». Neurocomputing vol. 286. p. 179-192
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2017 « META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection ». Information Fusion vol. 38. p. 84-103
- Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2016 « Meta-learning recommendation of default size of classifier pool for META-DES ». Neurocomputing vol. 216. p. 351-362
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren. 2015 « META-DES: A dynamic ensemble selection framework using meta-learning ». Pattern Recognition vol. 48 , nº 5. p. 1925-1935
- R. M. O. Cruz, G. D. C. Cavalcanti, Tsang Ing Ren, Robert Sabourin. 2013 « Feature representation selection based on Classifier Projection Space and Oracle analysis ». Expert Systems with Applications vol. 40 , nº 9. p. 3813-3827
- Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger. 2025 « Bidirectional multi-step domain generalization for visible-infrared person re-identification ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Feb. 26-Mar. 06, 2025) Institute of Electrical and Electronics Engineers Inc.
- Kecia Gomes de Moura, Rafael Menelau O. Cruz, Robert Sabourin. 2025 « Offline handwritten signature verification using a stream-based approach ». Pattern Recognition : 27th International Conference, ICPR 2024, Proceedings, Part XXXI (Kolkata, India, Dec. 01-05, 2024) Springer
- Ingryd V. S. T. Pereira, George D. C. Cavalcanti, Rafael M. O. Cruz. 2025 « Multi-view autoencoders for fake news detection ». IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CI-NLPSoMe) (Trondheim, Norway, Mar. 17-20, 2025) Institute of Electrical and Electronics Engineers Inc.
- José Vinicius S. Souza, C. B. Vieira, G. D. C. Cavalcanti, R. M. O. Cruz. 2025 « Imbalanced malware classification: an approach based on dynamic classifier selection ». IEEE Symposium on Computational Intelligence in Security, Defence and Biometrics Companion (CISDB Companion) (Trondheim, Norway, Mar. 17-20, 2025) Institute of Electrical and Electronics Engineers Inc.
- Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael M. O. Cruz, Marc-Andre Carbonneau. 2024 « MoSAR: Monocular semi-supervised model for avatar reconstruction using differentiable shading ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electronics Engineers Inc.
- Hesam Jalalian, Rafael M. O. Cruz. 2024 « MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines ». International Joint Conference on Neural Networks (IJCNN) (Yokohama, Japan, June 30-July 05, 2024) Institute of Electrical and Electronics Engineers Inc.
- Talles B. Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2024 « Robust handwritten signature representation with continual learning of synthetic data over predefined real feature space ». Document Analysis and Recognition - ICDAR 2024 : 18th International Conference Proceedings, Part II (Athens, Greece, Aug. 30-Sept. 04, 2024) Springer Science and Business Media Deutschland GmbH
- Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger. 2023 « Visible-infrared person re-identification using privileged intermediate information ». Computer Vision – ECCV 2022 Workshops, Proceedings, Part V (Tel Aviv, Israel, Oct 23-27, 2022) Springer Science and Business Media Deutschland GmbH
- Eduardo V. L. Barboza, Paulo R. L. De Almeida, Alceu De Souza Britto, Rafael M. O. Cruz. 2023 « Distance functions and normalization under stream scenarios ». International Joint Conference on Neural Networks (Gold Coast, Australia, June 18-23, 2023) Institute of Electrical and Electronics Engineers
- Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz. 2023 « A post-selection algorithm for improving dynamic ensemble selection methods ». IEEE International Conference on Systems, Man and Cybernetics (Honolulu, HI, USA, Oct. 01-04, 2023) Institute of Electrical and Electronics Engineers Inc.
- Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz. 2023 « GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network ». Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR, Proceedings (Vietri sul Mare, Italy, Sept. 06-08, 2023) Springer Science and Business Media
- Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger. 2023 « Multimodal data augmentation for visual-infrared person ReID with corrupted data ». IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023) Institute of Electrical and Electronics Engineers Inc.
- Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin. 2022 « Dynamic ensemble selection using fuzzy hyperboxes ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE
- Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger. 2022 « Dynamic template selection through change detection for adaptive siamese tracking ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE
- Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay, Rafael Menelau Oliveira E. Cruz, Louis-Antoine Blais-Morin, Eric Granger. 2022 « Generative target update for adaptive siamese tracking ». Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Part I (Paris, France, June 01-03, 2022) Springer Science and Business Media Deutschland GmbH
- Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger. 2022 « Knowledge distillation for multi-target domain adaptation in real-time person re-identification ». IEEE International Conference on Image Processing (ICIP) (Bordeaux, France, Oct. 16-19, 2022) IEEE Computer Society
- Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz. 2022 « Local overlap reduction procedure for dynamic ensemble selection ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE
- Talles B. Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2022 « Contrastive learning of handwritten signature representations for writer-independent verification ». International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022) IEEE
- Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2021 « An investigation of feature selection and transfer learning for writer-independent offline handwritten signature verification ». 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021) Institute of Electrical and Electronics Engineers Inc.
- Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz. 2020 « Multi-label learning for dynamic model type recommendation ». International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020) IEEE
- Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2020 « Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control ». Genetic and Evolutionary Computation Conference (GECCO) (Cancun, Mexico, July 08-12, 2020) Association for Computing Machinery Inc
- Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2019 « On evaluating the online local pool generation method for imbalance learning ». International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) IEEE
- Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2019 « Characterization of handwritten signature images in dissimilarity representation space ». Computational Science : ICCS 2019 : 19th International Conference : Proceedings, Part III (Faro, Portugal, June 12-14, 2019) Springer Verlag
- Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2019 « On dissimilarity representation and transfer learning for offline handwritten signature verification ». International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019) IEEE
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2018 « On dynamic ensemble selection and data preprocessing for multi-class imbalance learning ». Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018) (Montréal, QC, Canada, May 13-17, 2018) CENPARMI, Concordia University
- D. V. R. Oliveira, G. D. C. Cavalcanti, T. N. Porpino, R. M. O. Cruz, R. Sabourin. 2018 « K-Nearest oracles borderline dynamic classifier ensemble selection ». 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018) IEEE
- Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin. 2018 « An ensemble generation method based on instance hardness ». 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018) IEEE
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2017 « Analyzing different prototype selection techniques for dynamic classifier and ensemble selection ». International Joint Conference on Neural Networks (Anchorage, AK, USA, May 14-19, 2017) IEEE
- Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti. 2017 « Dynamic ensemble selection VS K-NN: why and when dynamic selection obtains higher classification performance? ». Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) (Montréal, QC, Canada, 28 nov. - 1er dec. 2017) IEEE
- Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin. 2017 « On the characterization of the Oracle for dynamic classifier selection ». International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 08-12, 2017) IEEE
- Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2016 « Meta-regression based pool size prediction scheme for dynamic selection of classifiers ». 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016) IEEE
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2015 « META-DES.H: A dynamic ensemble selection technique using meta-learning and a dynamic weighting approach ». 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015) IEEE
- R. M. O. Cruz, Robert Sabourin, G. D. C. Cavalcanti. 2014 « On meta-learning for dynamic ensemble selection ». 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014) IEEE Computer Society
- Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti. 2014 « Analyzing dynamic ensemble selection techniques using dissimilarity analysis ». Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014) Springer International Publishing
- Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2011 « A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence ». International Joint Conference on Neural Networks (San Jose, CA, USA, July 31-Aug. 05, 2011) IEEE
- Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2010 « An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques ». International Joint Conference on Neural Networks (IJCNN) (Barcelona, Spain, July 18-23, 2010) IEEE
- Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren. 2010 « Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble ». IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010) IWSSIP
- Rafael Menelau Oliveira E. Cruz. 2016 « Dynamic selection of ensemble of classifiers using meta-learning ». 293 p.Thèse de doctorat. Montréal, École de technologie supérieure.
- Rafael Menelau Oliveira E. Cruz. 2011 « Methods for dynamic selection and fusion of ensemble of classifiers ». Mémoire de maîtrise. Brésil, Universidade Federal de Pernambuco.