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Rafael Menelau Cruz

Rafael Menelau Cruz
Professeur
Office A-2744
Phone 514 396-8800, ext.8932
Presentation

Département de génie logiciel et des TI

Research interests:

  • Intelligent and Autonomous Systems

Research areas:

  • Machine learning
  • Pattern recognition
  • Multiple classifier systems
  • Dynamic classifier and ensemble selection
  • Multimodal data fusion
  • Meta-learning
  • Automated machine learning (AutoML)
  • Incremental learning and concept drift
  • Natural language processing
  • Metaheuristic optimization
  • Biometrics
  • Signature verification
Publications: article

Publications: conference_item
2014 22nd International Conference on Pattern Recognition (ICPR)
Publications: conference_item
International Joint Conference on Neural Networks
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
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IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing
Publications: article

Publications: article

Publications: article

Publications: conference_item
International Joint Conference on Neural Networks
Publications: conference_item
Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings
Publications: article

Publications: conference_item
2015 International Joint Conference on Neural Networks (IJCNN)
Publications: article

Publications: article

Publications: article

Publications: article

Publications: conference_item
Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I
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Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018)
Publications: thesis

Publications: thesis

Publications: conference_item
2018 International Joint Conference on Neural Networks (IJCNN 2018)
Publications: article

Publications: article

Publications: conference_item
23rd International Conference on Pattern Recognition (ICPR)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: article

Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: article

Publications: article

Publications: conference_item
25th International Conference on Pattern Recognition (ICPR)
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Computational Science : ICCS 2019 : 19th International Conference : Proceedings, Part III
Publications: conference_item
Genetic and Evolutionary Computation Conference (GECCO)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
International Joint Conference on Neural Networks (IJCNN)
Publications: conference_item
2018 International Joint Conference on Neural Networks (IJCNN)
Publications: article

Courses and support services

Courses

SYS828 Systèmes biométriques (Winter 2022)

Assistance to students

Mémoire à 30 crédits
  • Co-directed by: Menelau Oliveira Cruz, Rafael
    Identification des dialectes arabes avec la sélection dynamique de classifieurs, by Thibault,Pierre-Marc.
    Fall 2021
  • Co-directed by: Menelau Oliveira Cruz, Rafael
    Ré-identification de personnes par fusion de données de provenances multiples, by Josi,Arthur.
    Winter 2023
  • Optimizing a pool of classifiers for Dynamic selection methods, by Jalalian,Hesam.
    Fall 2022
  • Co-directed by: Menelau Oliveira Cruz, Rafael
    Gated Information Fusion Networks for Person Re-Identification, by Remigereau,Félix.
    Fall 2022
  • The detection of fake news using natural language processing (NLP) and dynamic classifire selection method, by Farhangian,Faramarz.
    Winter 2023
Rapport technique à 6 crédits
  • DEPLOIEMENT D'UNE APPLICATION WEB DE RECHERCHE DE VISAGE AVEC APPRENTISSAGE CONTINU EN UTILISANT MLOPS, by Harisse,Yassine.
    Winter 2023
Thèse de doctorat (recherche appliquée)
  • Co-directed by: Sabourin, Robert
    Dynamic Ensemble/Classifier Selection using Fuzzy Min-Max Hyperboxes, by Davtalab,Reza.
    Winter 2023
  • Co-directed by: Menelau Oliveira Cruz, Rafael
    Multi Modal Person Re-identification using Context Based Information Fusion, by Alehdaghi,Mahdi.
    Winter 2023
Publications
Peer-reviewed article published in a refereed journal (15)

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.

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. 3813-27.

Conference proceeding (24)

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.

Dissertation or these (2)

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

Awards and honors