| La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS |
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Liste des publications de "Menelau Cruz, Rafael"Nombre de documents archivés : 57.
Avelino, Juscimara G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2024.
« Resampling strategies for imbalanced regression: a survey and empirical analysis ».
Artificial Intelligence Review, vol. 57, nº 4.
Barboza, Eduardo V. L., De Almeida, Paulo R. L., De Souza Britto, Alceu et Cruz, Rafael M. O..
2023.
« Distance functions and normalization under stream scenarios ».
In International Joint Conference on Neural Networks (Gold Coast, Australia, June 18-23, 2023)
Institute of Electrical and Electronics Engineers.
Cordeiro, Paulo R. G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« A post-selection algorithm for improving dynamic ensemble selection methods ».
In IEEE International Conference on Systems, Man and Cybernetics (Honolulu, HI, USA, Oct. 01-04, 2023)
pp. 1142-1147.
Institute of Electrical and Electronics Engineers Inc..
Cordeiro, Paulo R. G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« Dynamic ensemble algorithm post-selection using hardness-aware oracle ».
IEEE Access, vol. 11.
pp. 86056-86070.
Cruz, R. M. O., Cavalcanti, G. D. C., Ing Ren, Tsang et Sabourin, Robert.
2013.
« Feature representation selection based on Classifier Projection Space and Oracle analysis ».
Expert Systems with Applications, vol. 40, nº 9.
pp. 3813-3827.
Cruz, R. M. O., Sabourin, Robert et Cavalcanti, G. D. C..
2014.
« On meta-learning for dynamic ensemble selection ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 1230-1235.
Los Alamitos, CA, USA : IEEE Computer Society.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ing Ren, Tsang.
2011.
« A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence ».
In International Joint Conference on Neural Networks (San Jose, CA, USA, July 31-Aug. 05, 2011)
pp. 1126-1133.
IEEE.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ren, Tsang Ing.
2010.
« An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques ».
In International Joint Conference on Neural Networks (IJCNN) (Barcelona, Spain, July 18-23, 2010)
IEEE.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ren, Tsang Ing.
2010.
« Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble ».
In IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010)
pp. 215-218.
IWSSIP.
Cruz, Rafael M. O., de Sousa, Woshington V. et Cavalcanti, George D. C..
2022.
« Selecting and combining complementary feature representations and classifiers for hate speech detection ».
Online Social Networks and Media, vol. 28.
Cruz, Rafael M. O., Hafemann, Luiz G., Sabourin, Robert et Cavalcanti, George D. C..
2020.
« DESlib: A dynamic ensemble selection library in python ».
Journal of Machine Learning Research, vol. 21.
Cruz, Rafael M. O., Oliveira, Dayvid V. R., Cavalcanti, George D. C. et Sabourin, Robert.
2019.
« FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection ».
Pattern Recognition, vol. 85.
pp. 149-160.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« Analyzing different prototype selection techniques for dynamic classifier and ensemble selection ».
In International Joint Conference on Neural Networks (Anchorage, AK, USA, May 14-19, 2017)
pp. 3959-3966.
IEEE.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2014.
« Analyzing dynamic ensemble selection techniques using dissimilarity analysis ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 8774.
pp. 59-70.
Cham, Switzerland : Springer International Publishing.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« Dynamic classifier selection: Recent advances and perspectives ».
Information Fusion, vol. 41.
pp. 195-216.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2015.
« META-DES.H: A dynamic ensemble selection technique using meta-learning and a dynamic weighting approach ».
In 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015)
Piscataway, NJ, USA : IEEE.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection ».
Information Fusion, vol. 38.
pp. 84-103.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« Prototype selection for dynamic classifier and ensemble selection ».
Neural Computing and Applications, vol. 29, nº 2.
pp. 447-457.
Cruz, Rafael M. O., Sabourin, Robert, Cavalcanti, George D. C. et Ing Ren, Tsang.
2015.
« META-DES: A dynamic ensemble selection framework using meta-learning ».
Pattern Recognition, vol. 48, nº 5.
pp. 1925-1935.
Cruz, Rafael M. O., Souza, Mariana A., Sabourin, Robert et Cavalcanti, George D. C..
2019.
« Dynamic ensemble selection and data preprocessing for multi-class imbalance learning ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, nº 11.
Cruz, Rafael M. O., Zakane, Hiba H., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« Dynamic ensemble selection VS K-NN: why and when dynamic selection obtains higher classification performance? ».
In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) (Montréal, QC, Canada, 28 nov. - 1er dec. 2017)
Piscataway, NJ, USA : IEEE.
Davtalab, Reza, Cruz, Rafael M. O. et Sabourin, Robert.
2024.
« A scalable dynamic ensemble selection using fuzzy hyperboxes ».
Information Fusion, vol. 102.
Davtalab, Reza, Cruz, Rafael M. O. et Sabourin, Robert.
2022.
« Dynamic ensemble selection using fuzzy hyperboxes ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
de Amorim, Lucas B. V., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2024.
« Meta-scaler: A meta-learning framework for the selection of scaling techniques ».
IEEE Transactions on Neural Networks and Learning Systems.
de Amorim, Lucas B. V., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« The choice of scaling technique matters for classification performance ».
Applied Soft Computing, vol. 133.
de Araujo Souza, Mariana, Sabourin, Robert, da Cunha Cavalcanti, George Darmiton et Cruz, Rafael Menelau Oliveira E..
2023.
« GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network ».
In Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR, Proceedings (Vietri sul Mare, Italy, Sept. 06-08, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14121.
pp. 59-69.
Springer Science and Business Media.
Ensina, Leandro A., de Oliveira, Luiz E. S., Cruz, Rafael M. O. et Cavalcanti, G. D. C..
2024.
« Fault distance estimation for transmission lines with dynamic regressor selection ».
Neural Computing and Applications, vol. 36, nº 4.
pp. 1741-1759.
Farhangian, Faramarz, Cruz, Rafael M. O. et Cavalcanti, George D. C..
2024.
« Fake news detection: Taxonomy and comparative study ».
Information Fusion, vol. 103.
Jalalian, Hesam et Cruz, Rafael M. O..
2024.
« MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines ».
In International Joint Conference on Neural Networks (IJCNN) (Yokohama, Japan, June 30-July 05, 2024)
Institute of Electrical and Electronics Engineers Inc..
Josi, Arthur, Alehdaghi, Mahdi, Cruz, Rafel M. O. et Granger, Eric.
2023.
« Multimodal data augmentation for visual-infrared person ReID with corrupted data ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023)
pp. 32-41.
Institute of Electrical and Electronics Engineers Inc..
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Dynamic template selection through change detection for adaptive siamese tracking ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Generative target update for adaptive siamese tracking ».
In Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I (Paris, France, June 01-03, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13363.
pp. 502-513.
Springer Science and Business Media Deutschland GmbH.
M. O. Cruz, Rafael, Sabourin, Robert et Cavalcanti, George D. C..
2018.
« On dynamic ensemble selection and data preprocessing for multi-class imbalance learning ».
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018) (Montréal, QC, Canada, May 13-17, 2018)
pp. 189-194.
CENPARMI, Concordia University. Menelau Oliveira E. Cruz, Rafael. 2016. « Dynamic selection of ensemble of classifiers using meta-learning ». Thèse de doctorat. Montréal, École de technologie supérieure, 293 p. Menelau Oliveira E. Cruz, Rafael. 2011. « Methods for dynamic selection and fusion of ensemble of classifiers ». Mémoire de maîtrise. Brésil, Universidade Federal de Pernambuco
Oliveira, D. V. R., Cavalcanti, G. D. C., Porpino, T. N., Cruz, R. M. O. et Sabourin, R..
2018.
« K-Nearest oracles borderline dynamic classifier ensemble selection ».
In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018)
IEEE.
Rodrigues, Walber M., Walmsley, Felipe N., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« Security relevant methods of Android's API classification: A machine learning empirical evaluation ».
IEEE Transactions on Computers, vol. 72, nº 11.
pp. 3273-3285.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« A study on combining dynamic selection and data preprocessing for imbalance learning ».
Neurocomputing, vol. 286.
pp. 179-192.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2016.
« Meta-learning recommendation of default size of classifier pool for META-DES ».
Neurocomputing, vol. 216.
pp. 351-362.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2016.
« Meta-regression based pool size prediction scheme for dynamic selection of classifiers ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 216-221.
Piscataway, NJ, USA : IEEE.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« On evaluating the online local pool generation method for imbalance learning ».
In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019)
Piscataway, NJ, USA : IEEE.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2017.
« On the characterization of the Oracle for dynamic classifier selection ».
In International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 08-12, 2017)
pp. 332-339.
IEEE.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« Online local pool generation for dynamic classifier selection ».
Pattern Recognition, vol. 85.
pp. 132-148.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2022.
« Local overlap reduction procedure for dynamic ensemble selection ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2020.
« Multi-label learning for dynamic model type recommendation ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
IEEE.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« OLP++: An online local classifier for high dimensional data ».
Information Fusion, vol. 90.
pp. 120-137.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, Geroge D. C. et Cruz, Rafael M. O..
2024.
« A dynamic multiple classifier system using graph neural network for high dimensional overlapped data ».
Information Fusion, vol. 103.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2020.
« A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification ».
Expert Systems with Applications, vol. 154.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2021.
« An investigation of feature selection and transfer learning for writer-independent offline handwritten signature verification ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021)
pp. 1475-1482.
Institute of Electrical and Electronics Engineers Inc..
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« Characterization of handwritten signature images in dissimilarity representation space ».
In Computational Science : ICCS 2019 : 19th International Conference : Proceedings, Part III (Faro, Portugal, June 12-14, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11538.
pp. 192-206.
Springer Verlag.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2020.
« Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control ».
In Genetic and Evolutionary Computation Conference (GECCO) (Cancun, Mexico, July 08-12, 2020)
pp. 69-70.
Association for Computing Machinery Inc.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« On dissimilarity representation and transfer learning for offline handwritten signature verification ».
In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019)
Piscataway, NJ, USA : IEEE.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2023.
« A multi-task approach for contrastive learning of handwritten signature feature representations ».
Expert Systems with Applications, vol. 217.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2022.
« Contrastive learning of handwritten signature representations for writer-independent verification ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2024.
« Robust handwritten signature representation with continual learning of synthetic data over predefined real feature space ».
In Document Analysis and Recognition - ICDAR 2024 : 18th International Conference Proceedings, Part II (Athens, Greece, Aug. 30-Sept. 04, 2024)
Coll. « Lecture Notes in Computer Science », vol. 14805.
pp. 233-249.
Springer Science and Business Media Deutschland GmbH.
Walmsley, Felipe N., Cavalcanti, George D. C., Oliveira, Dayvid V. R., Cruz, Rafael M. O. et Sabourin, Robert.
2018.
« An ensemble generation method based on instance hardness ».
In 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018)
Piscataway, NJ, USA : IEEE.
Walmsley, Felipe N., Cavalcanti, George D. C., Sabourin, Robert et Cruz, Rafael M. O..
2022.
« An investigation into the effects of label noise on Dynamic Selection algorithms ».
Information Fusion, vol. 80.
pp. 104-120. |
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