Rafael M. O. Cruz

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 75

Top Topics

Data Preprocessing

Dynamic Classifier Selection

Prototype Selection

Top Venues

Pattern Recognit.

Publications

Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti
Fake news detection: Taxonomy and comparative study. Inf. Fusion 103 (2024)
Leandro Augusto Ensina, Luiz Eduardo Soares de Oliveira, Rafael M. O. Cruz, George D. C. Cavalcanti
Fault distance estimation for transmission lines with dynamic regressor selection. Neural Comput. Appl. 36 (4) (2024)
Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
A dynamic multiple classifier system using graph neural network for high dimensional overlapped data. Inf. Fusion 103 (2024)
Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin
A scalable dynamic ensemble selection using fuzzy hyperboxes. Inf. Fusion 102 (2024)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle. IEEE Access 11 (2023)
Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
The choice of scaling technique matters for classification performance. Appl. Soft Comput. 133 (2023)
Talles Brito Viana, Victor L. F. Souza, Adriano Lorena Inácio de Oliveira, Rafael M. O. Cruz, Robert Sabourin
A multi-task approach for contrastive learning of handwritten signature feature representations. Expert Syst. Appl. 217 (2023)
Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz
Distance Functions and Normalization Under Stream Scenarios. CoRR (2023)
Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Rafael M. O. Cruz
Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation. IEEE Trans. Computers 72 (11) (2023)
Eduardo V. L. Barboza, Paulo R. Lisboa de Almeida, Alceu de Souza Britto Jr., Rafael M. O. Cruz
Distance Functions and Normalization Under Stream Scenarios. IJCNN (2023)
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data. WACV (Workshops) (2023)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
OLP++: An online local classifier for high dimensional data. Inf. Fusion 90 (2023)
Mahdi Alehdaghi, Arthur Josi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification. CoRR (2023)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
A post-selection algorithm for improving dynamic ensemble selection methods. CoRR (2023)
Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael M. O. Cruz, Marc-Andre Carbonneau
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading. CoRR (2023)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
A Post-Selection Algorithm for Improving Dynamic Ensemble Selection Methods. SMC (2023)
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data. CoRR (2023)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Local overlap reduction procedure for dynamic ensemble selection. IJCNN (2022)
Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification. ICIP (2022)
Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. ECCV Workshops (5) (2022)
Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin
Dynamic Ensemble Selection Using Fuzzy Hyperboxes. CoRR (2022)
Talles Brito Viana, Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification. IJCNN (2022)
Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti
Selecting and combining complementary feature representations and classifiers for hate speech detection. CoRR (2022)
Félix Remigereau, Djebril Mekhazni, Sajjad Abdoli, Le Thanh Nguyen-Meidine, Rafael M. O. Cruz, Eric Granger
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification. CoRR (2022)
Mahdi Alehdaghi, Arthur Josi, Rafael M. O. Cruz, Eric Granger
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. CoRR (2022)
Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti
Selecting and combining complementary feature representations and classifiers for hate speech detection. Online Soc. Networks Media 28 (2022)
Felipe N. Walmsley, George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz
An investigation into the effects of label noise on Dynamic Selection algorithms. Inf. Fusion 80 (2022)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Local overlap reduction procedure for dynamic ensemble selection. CoRR (2022)
Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
The choice of scaling technique matters for classification performance. CoRR (2022)
Reza Davtalab, Rafael M. O. Cruz, Robert Sabourin
Dynamic Ensemble Selection Using Fuzzy Hyperboxes. IJCNN (2022)
Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger
Multimodal Data Augmentation for Visual-Infrared Person ReID with Corrupted Data. CoRR (2022)
Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) (2022)
Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti
DESlib: A Dynamic ensemble selection library in Python. J. Mach. Learn. Res. 21 (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. GECCO Companion (2020)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Multi-label learning for dynamic model type recommendation. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. Expert Syst. Appl. 154 (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. ICPR (2020)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Multi-label learning for dynamic model type recommendation. IJCNN (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification. CoRR (2020)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification. CoRR (2020)
Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti
Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning. Int. J. Pattern Recognit. Artif. Intell. 33 (11) (2019)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
On evaluating the online local pool generation method for imbalance learning. IJCNN (2019)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
Characterization of Handwritten Signature Images in Dissimilarity Representation Space. ICCS (3) (2019)
Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin
FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection. Pattern Recognit. 85 (2019)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
Online local pool generation for dynamic classifier selection. Pattern Recognit. 85 (2019)
Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification. IJCNN (2019)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
On Meta-Learning for Dynamic Ensemble Selection. CoRR (2018)
Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti
DESlib: A Dynamic ensemble selection library in Python. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR (2018)
Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection. CoRR (2018)
Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
A study on combining dynamic selection and data preprocessing for imbalance learning. Neurocomputing 286 (2018)
Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. IJCNN (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Dynamic classifier selection: Recent advances and perspectives. Inf. Fusion 41 (2018)
Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Ensemble Generation Method Based on Instance Hardness. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Prototype selection for dynamic classifier and ensemble selection. Neural Comput. Appl. 29 (2) (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. CoRR (2018)
Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR (2018)
Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence. CoRR (2018)
Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. CoRR (2018)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
Online local pool generation for dynamic classifier selection: an extended version. CoRR (2018)
Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance? CoRR (2018)
Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Ensemble Generation Method Based on Instance Hardness. IJCNN (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection. Inf. Fusion 38 (2017)
Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti
Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance? IPTA (2017)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
On the characterization of the Oracle for dynamic classifier selection. IJCNN (2017)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. IJCNN (2017)
Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Meta-regression based pool size prediction scheme for dynamic selection of classifiers. ICPR (2016)
Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Meta-learning recommendation of default size of classifier pool for META-DES. Neurocomputing 216 (2016)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach. IJCNN (2015)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren
META-DES: A dynamic ensemble selection framework using meta-learning. Pattern Recognit. 48 (5) (2015)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers. CoRR (2015)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis. ANNPR (2014)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
On Meta-learning for Dynamic Ensemble Selection. ICPR (2014)
Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang, Robert Sabourin
Feature representation selection based on Classifier Projection Space and Oracle analysis. Expert Syst. Appl. 40 (9) (2013)
Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang
A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence. IJCNN (2011)
Rafael M. O. Cruz, George D. C. Cavalcanti, Ing Ren Tsang
An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques. IJCNN (2010)