Rafael Menelau Cruz

• En codirection avec : Menelau Oliveira Cruz, Rafael
  Identification des dialectes arabes avec la sélection dynamique de classifieurs, par Thibault,Pierre-Marc.
  Automne 2021
  
• Dynamic Ensemble Selection using Fuzzy Min-Max Hyperboxes, par Davtalab,Reza.
  Automne 2023
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Deep Visual-Infrared Fusion for Multimodal Person Re-Identification in the Wild, par Josi,Arthur.
  Été 2023
  
• Meta-learning recommendation system for automating the process of selecting the best pool and a dynamic classifier selection algorithm, par Jalalian,Hesam.
  Automne 2023
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Apprentissage par renforcement profond pour de la navigation multisensorielle dans un environnement dynamique, par Morissette,Laurent.
  Hiver 2024
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Multi-Target Domain Adaptation for Person Re-Identification, par Remigereau,Félix.
  Été 2023
  
• The detection of fake news using natural language processing (NLP) and dynamic classifire selection method, par Farhangian,Faramarz.
  Automne 2023
  

• En codirection avec : Cavalcanti, George
  Local Learning for Dynamic Ensemble Selection, par De Araujo Souza,Mariana.
  Automne 2023
  
• En codirection avec : Menelau Oliveira Cruz, Rafael
  Multi Modal Person Re-identification using Context Based Information Fusion, par Alehdaghi,Mahdi.
  Hiver 2024
  
• En codirection avec : Sabourin, Robert
  Handling Handwritten Signature Verification in Data-Streams Contexts, par Gomes De Moura,Kecia.
  Hiver 2024
  

• Déploiement d'une application Web de recherche de visage avec apprentissage continu en utilisant MLOps, par Harisse,Yassine.
  Été 2023
  

• Augmentation des données pour la détection des fausses nouvelles, par Tchedje Feunou,Amani.
  Automne 2023
  

• Surveillance des infrastructures côtières naturelles à l'aide de caméras à faible coût et de méthodes d'apprentissage automatique, par Harisse,Yassine.
  Été 2023
  

Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin. 2024. « A scalable dynamic ensemble selection using fuzzy hyperboxes ». Information Fusion. vol. 102

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 5 p.

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 15 p.

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. 11 p. 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 12 p. 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.

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.

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) p. 59-69. Springer Science and Business Media.

Arthur Josi, Mahdi Alehdaghi, Rafel 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) p. 32-41. 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, Par I (Paris, France, June 01-03, 2022) p. 502-513. Springer Science and Business Media Deutschland GmbH.

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) p. 1475-1482. 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) p. 69-70. 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) Piscataway, NJ, USA : 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) p. 192-206. 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) Piscataway, NJ, USA : 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) p. 189-194. 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) Piscataway, NJ, USA : 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) p. 3959-3966. 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) Piscataway, NJ, USA : 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) p. 332-339. 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) p. 216-221. Piscataway, NJ, USA : 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) Piscataway, NJ, USA : 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) p. 1230-1235. Los Alamitos, CA, USA : 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) p. 59-70. Cham, Switzerland : 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) p. 1126-1133. 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) p. 215-218. 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