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ORCIDGeorge D. C. Cavalcanti
George Darmiton da Cunha Cavalcanti
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2020 – today
- 2025
[j67]Francimaria R. S. Nascimento
, George D. C. Cavalcanti, Márjory Da Costa-Abreu:
Gender bias detection on hate speech classification: an analysis at feature-level. Neural Comput. Appl. 37(5): 3887-3905 (2025)- [j66]Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz:
Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4805-4819 (2025) - 2024
- [j65]Juscimara Gomes Avelino, George D. C. Cavalcanti, Rafael M. O. Cruz:
Resampling strategies for imbalanced regression: a survey and empirical analysis. Artif. Intell. Rev. 57(4): 82 (2024) - [j64]Wellison R. M. Santos, Adalberto R. Sampaio Jr., Nelson S. Rosa, George D. C. Cavalcanti:
Microservices performance forecast using dynamic Multiple Predictor Systems. Eng. Appl. Artif. Intell. 129: 107649 (2024) - [j63]Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti:
Fake news detection: Taxonomy and comparative study. Inf. Fusion 103: 102140 (2024) - [j62]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: 102145 (2024) - [j61]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): 1741-1759 (2024) - [j60]George D. C. Cavalcanti, Rodolfo J. O. Soares, Edson L. Araújo:
Subconcept perturbation-based classifier for within-class multimodal data. Neural Comput. Appl. 36(5): 2479-2491 (2024) - [j59]George D. C. Cavalcanti, Wesley Mendes-Da-Silva, Israel J. dos S. Felipe, Leonardo A. Santos:
Recent advances in applications of machine learning in reward crowdfunding success forecasting. Neural Comput. Appl. 36(26): 16485-16501 (2024) - [j58]Lucas O. Teixeira, Diego Bertolini, Luiz S. Oliveira, George D. C. Cavalcanti, Yandre M. G. Costa:
Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets. Neural Comput. Appl. 36(32): 20439-20456 (2024) - [c134]Pedro Maranhao, Tsang Ing Ren, George D. C. Cavalcanti:
Cervical Cancer Detection in Pap Smear Images. EPIA (2) 2024: 74-85 - [c133]Walber M. Rodrigues, Felipe N. Walmsley, Jonysberg P. Quintino, Helder de Sousa Pinho, George D. C. Cavalcanti:
Combining Pruning Strategies to Generate Efficient Inpainting Networks. IJCNN 2024: 1-8 - [c132]Gabriel Henrique Costanzi, Lucas O. Teixeira, Gustavo Zanoni Felipe, George D. C. Cavalcanti, Yandre M. G. Costa:
Music Genre Classification Using Contrastive Dissimilarity. IWSSIP 2024: 1-8 - 2023
- [j57]Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz:
Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle. IEEE Access 11: 86056-86070 (2023) - [j56]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: 109924 (2023) - [j55]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
OLP++: An online local classifier for high dimensional data. Inf. Fusion 90: 120-137 (2023) - [j54]Domingos S. de O. Junior, Paulo S. G. de Mattos Neto, João F. L. de Oliveira, George D. C. Cavalcanti:
A hybrid system based on ensemble learning to model residuals for time series forecasting. Inf. Sci. 649: 119614 (2023) - [j53]Gustavo Zanoni Felipe, Lucas O. Teixeira, Rodolfo Miranda Pereira, Jacqueline Nelisis Zanoni, Sara R. G. Souza, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa:
Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. Neural Process. Lett. 55(5): 5811-5832 (2023) - [j52]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): 3273-3285 (2023) - [c131]Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz:
GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network. GbRPR 2023: 59-69 - [c130]Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz:
A Post-Selection Algorithm for Improving Dynamic Ensemble Selection Methods. SMC 2023: 1142-1147 - [d1]Leandro Augusto Ensina, Luiz Eduardo Soares de Oliveira, Rafael Menelau Oliveira E. Cruz, George Darmiton da Cunha Cavalcanti:
Fault Analysis Database with Features (FADbF). Zenodo, 2023
- [i22]Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz:
A post-selection algorithm for improving dynamic ensemble selection methods. CoRR abs/2309.14307 (2023) - 2022
- [j51]Francimaria R. S. Nascimento, George D. C. Cavalcanti, Márjory Da Costa-Abreu:
Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning. Expert Syst. Appl. 201: 117032 (2022) - [j50]Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the noise at random model with ensemble filters. Intell. Data Anal. 26(5): 1119-1138 (2022) - [j49]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: 104-120 (2022) - [j48]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: 100194 (2022) - [j47]Yandre M. G. Costa, Sergio A. Da Silva Junior, Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Alceu S. Britto Jr., Luiz S. Oliveira, George D. C. Cavalcanti:
COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. Sensors 22(19): 7303 (2022) - [c129]Carlos A. Alves Júnior, Luis Filipe Alves Pereira, George D. C. Cavalcanti, Tsang Ing Ren:
Ensemble of Convolutional Neural Networks for Sparse-View Cone-Beam Computed Tomography. IJCNN 2022: 1-7 - [c128]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Local overlap reduction procedure for dynamic ensemble selection. IJCNN 2022: 1-9 - [i21]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 abs/2201.06721 (2022) - [i20]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Local overlap reduction procedure for dynamic ensemble selection. CoRR abs/2206.08455 (2022) - [i19]Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz:
The choice of scaling technique matters for classification performance. CoRR abs/2212.12343 (2022) - 2021
- [j46]Eraylson G. Silva, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti:
A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. IEEE Access 9: 108466-108479 (2021) - [j45]Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Jonysberg P. Quintino, Helder Pinho:
Grave Artifacts in Image Inpainting: Investigating the Causes and Untangling the Factors. IEEE Access 9: 119546-119563 (2021) - [j44]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
MINE: A framework for dynamic regressor selection. Inf. Sci. 543: 157-179 (2021) - [j43]Rogerio C. P. Fragoso, George D. C. Cavalcanti, Roberto H. W. Pinheiro, Luiz S. Oliveira:
Dynamic selection and combination of one-class classifiers for multi-class classification. Knowl. Based Syst. 228: 107290 (2021) - [j42]Hector N. B. Pinheiro, Tsang Ing Ren, André Gustavo Adami, George D. C. Cavalcanti:
Variational DNN embeddings for text-independent speaker verification. Pattern Recognit. Lett. 148: 100-106 (2021) - [j41]Lucas O. Teixeira, Rodolfo Miranda Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, George D. C. Cavalcanti, Yandre M. G. Costa:
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors 21(21): 7116 (2021) - [c127]Mateus Baltazar de Almeida, Luis Filipe Alves Pereira, Tsang Ing Ren, George D. C. Cavalcanti, Jan Sijbers:
The Gated Recurrent Conditional Generative Adversarial Network (GRC-GAN): application to denoising of low-dose CT images. SIBGRAPI 2021: 129-135 - [c126]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
On the Evaluation of Competence Measures for Time Series Forecasting. SMC 2021: 1527-1532 - [i18]Kecia Gomes de Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti:
Label noise detection under the Noise at Random model with ensemble filters. CoRR abs/2112.01617 (2021) - 2020
- [j40]Yandre M. G. Costa, Diego Bertolini, Alceu S. Britto Jr., George D. C. Cavalcanti, Luiz E. S. Oliveira:
The dissimilarity approach: a review. Artif. Intell. Rev. 53(4): 2783-2808 (2020) - [j39]George D. C. Cavalcanti, Rodolfo J. O. Soares:
Ranking-based instance selection for pattern classification. Expert Syst. Appl. 150: 113269 (2020) - [j38]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: 8:1-8:5 (2020) - [j37]Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Paulo Renato A. Firmino, Eraylson G. Silva, Sérgio R. P. Vila Nova Filho:
A temporal-window framework for modelling and forecasting time series. Knowl. Based Syst. 193: 105476 (2020) - [j36]Edson L. Araújo, George D. C. Cavalcanti, Tsang Ing Ren:
Perturbation-based classifier. Soft Comput. 24(21): 16565-16576 (2020) - [c125]Paulo S. G. de Mattos Neto, Péricles B. C. Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro:
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC 2020: 1-8 - [c124]Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto:
On the evaluation of dynamic selection parameters for time series forecasting. IJCNN 2020: 1-7 - [c123]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. IJCNN 2020: 1-10 - [c122]Luiz Vieira e Silva Filho, George D. C. Cavalcanti:
A two-level sampling strategy for pruning methods applied to credit scoring. SMC 2020: 96-101 - [c121]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
On the Selection of the Competence Measure for Dynamic Regressor Selection. SMC 2020: 1630-1637 - [i17]Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz:
Multi-label learning for dynamic model type recommendation. CoRR abs/2004.00558 (2020)
2010 – 2019
- 2019
- [j35]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Ing Ren Tsang:
Combining binary classifiers in different dichotomy spaces for text categorization. Appl. Soft Comput. 76: 564-574 (2019) - [j34]Rafael M. O. Cruz, Mariana de Araujo 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): 1940009:1-1940009:29 (2019) - [j33]Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
Data-driven Feature Selection Methods for Text Classification: an Empirical Evaluation. J. Univers. Comput. Sci. 25(4): 334-360 (2019) - [j32]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection. Pattern Recognit. 85: 132-148 (2019) - [j31]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: 149-160 (2019) - [c120]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
Evaluating Competence Measures for Dynamic Regressor Selection. IJCNN 2019: 1-8 - [c119]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On evaluating the online local pool generation method for imbalance learning. IJCNN 2019: 1-8 - [c118]Lucas Georges Helal, Diego Bertolini, Yandre M. G. Costa, George D. C. Cavalcanti, Alceu S. Britto Jr., Luiz E. S. Oliveira:
Representation Learning and Dissimilarity for Writer Identification. IWSSIP 2019: 63-68 - [c117]Eronides F. Da Silva Neto, Allan R. S. Feitosa, George D. C. Cavalcanti, Abel G. Silva-Filho:
Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers. VTC Fall 2019: 1-5 - [i16]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
Evaluating Competence Measures for Dynamic Regressor Selection. CoRR abs/1904.04645 (2019) - 2018
- [j30]Tiago Buarque Assunção de Carvalho, Maria A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Jan Sijbers, Ing Jyh Tsang:
IntensityPatches and RegionPatches for image recognition. Appl. Soft Comput. 62: 176-186 (2018) - [j29]Rafael Ferreira, George D. C. Cavalcanti, Fred Freitas, Rafael Dueire Lins, Steven J. Simske, Marcelo Riss:
Combining sentence similarities measures to identify paraphrases. Comput. Speech Lang. 47: 59-73 (2018) - [j28]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: 179-192 (2018) - [j27]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Dynamic classifier selection: Recent advances and perspectives. Inf. Fusion 41: 195-216 (2018) - [j26]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Prototype selection for dynamic classifier and ensemble selection. Neural Comput. Appl. 29(2): 447-457 (2018) - [c116]Kecia Gomes de Moura, Ricardo Bastos Cavalcante Prudêncio, George Darmiton da Cunha Cavalcanti:
Ensemble Methods for Label Noise Detection Under the Noisy at Random Model. BRACIS 2018: 474-479 - [c115]Leticia V. N. Lapenda, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
An empirical analysis of Combined Dissimilarity Spaces. IJCNN 2018: 1-8 - [c114]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: 1-8 - [c113]Eraylson G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto:
Improving the accuracy of intelligent forecasting models using the Perturbation Theory. IJCNN 2018: 1-7 - [c112]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: 1-8 - [i15]Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti:
DESlib: A Dynamic ensemble selection library in Python. CoRR abs/1802.04967 (2018) - [i14]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR abs/1803.03877 (2018) - [i13]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 abs/1804.06943 (2018) - [i12]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 abs/1804.07419 (2018) - [i11]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 abs/1804.07882 (2018) - [i10]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
Online local pool generation for dynamic classifier selection: an extended version. CoRR abs/1809.01628 (2018) - [i9]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 abs/1810.00520 (2018) - [i8]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren:
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. CoRR abs/1810.01270 (2018) - [i7]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. CoRR abs/1811.00217 (2018) - [i6]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 abs/1811.00669 (2018) - [i5]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. CoRR abs/1811.00677 (2018) - [i4]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 abs/1811.01742 (2018) - [i3]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On Meta-Learning for Dynamic Ensemble Selection. CoRR abs/1811.01743 (2018) - [i2]Rafael M. O. Cruz, Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti:
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR abs/1811.10481 (2018) - 2017
- [j25]Luis Filipe Alves Pereira, Eline Janssens, George D. C. Cavalcanti, Ing Ren Tsang, Mattias Van Dael, Pieter Verboven, Bart M. Nicolaï, Jan Sijbers:
Inline discrete tomography system: Application to agricultural product inspection. Comput. Electron. Agric. 138: 117-126 (2017) - [j24]Dennis Carnelossi Furlaneto, Luiz S. Oliveira, David Menotti, George D. C. Cavalcanti:
Bias effect on predicting market trends with EMD. Expert Syst. Appl. 82: 19-26 (2017) - [j23]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: 84-103 (2017) - [j22]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Ing Ren Tsang:
Combining dissimilarity spaces for text categorization. Inf. Sci. 406: 87-101 (2017) - [j21]Tiago Buarque Assunção de Carvalho, Maria Aparecida Amorim Sibaldo, Ing Ren Tsang, George Darmiton da Cunha Cavalcanti:
Principal Component Analysis for Supervised Learning: a minimum classification error approach. J. Inf. Data Manag. 8(2): 131-145 (2017) - [j20]Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti:
A perturbative approach for enhancing the performance of time series forecasting. Neural Networks 88: 114-124 (2017) - [j19]Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin:
Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognit. 72: 44-58 (2017) - [j18]Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Francisco Madeiro:
Nonlinear combination method of forecasters applied to PM time series. Pattern Recognit. Lett. 95: 65-72 (2017) - [c111]Hector N. B. Pinheiro, Fernando M. P. Neto, Adriano L. I. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami:
Optimizing speaker-specific filter banks for speaker verification. ICASSP 2017: 5350-5354 - [c110]Leonardo Valeriano Neri, Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, André Gustavo Adami:
Speaker segmentation using i-vector in meetings domain. ICASSP 2017: 5455-5459 - [c109]Mariana de Araujo Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin:
On the characterization of the Oracle for dynamic classifier selection. IJCNN 2017: 332-339 - [c108]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. IJCNN 2017: 3959-3966 - [c107]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: 1-6 - 2016
- [j17]Robson D. A. Timoteo, Lizandro N. Silva, Daniel C. Cunha, George D. C. Cavalcanti:
An approach using support vector regression for mobile location in cellular networks. Comput. Networks 95: 51-61 (2016) - [j16]Elias Rodrigues da Silva Júnior, George D. C. Cavalcanti, Tsang Ing Ren:
Class-wise feature extraction technique for multimodal data. Neurocomputing 214: 1001-1010 (2016) - [j15]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: 351-362 (2016) - [j14]George D. C. Cavalcanti, Luiz S. Oliveira, Thiago J. M. Moura, Guilherme V. Carvalho:
Combining diversity measures for ensemble pruning. Pattern Recognit. Lett. 74: 38-45 (2016) - [c106]Tiago Buarque Assunção de Carvalho, Maria A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Pixel Clustering for Face Recognition. BRACIS 2016: 121-126 - [c105]Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
A Method for Automatic Determination of the Feature Vector Size for Text Categorization. BRACIS 2016: 259-264 - [c104]Hector N. B. Pinheiro, Sergio R. F. Vieira, Tsang Ing Ren, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto:
Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions. ICASSP 2016: 5490-5494 - [c103]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: 216-221 - [c102]Hemir da Cunha Santiago, Tsang Ing Ren, George D. C. Cavalcanti:
Facial expression Recognition based on Motion Estimation. IJCNN 2016: 1617-1624 - [c101]Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
Class-dependent feature selection algorithm for text categorization. IJCNN 2016: 3508-3515 - [c100]Bruno S. C. M. Vilar, Cezar P. Schroeder, Cristina Wada, Rayanne H. Bezerra, Leonardo L. A. Heitzmann, Rafael Simionato, George D. C. Cavalcanti:
A prediction classifier architecture to forecast device status on smart environments. SMC 2016: 1116-1121 - 2015
- [j13]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Tsang Ing Ren:
Data-driven global-ranking local feature selection methods for text categorization. Expert Syst. Appl. 42(4): 1941-1949 (2015) - [j12]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): 1925-1935 (2015) - [c99]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Tsang Ing Ren:
Text Categorization Based on Dissimilarity Representation and Prototype Selection. BRACIS 2015: 163-168 - [c98]Marcelo Bassani de Freitas, George D. C. Cavalcanti, Robert Sabourin:
Transducer State Prediction System for Smart Environment Intelligent Control. BRACIS 2015: 270-275 - [c97]Tiago Buarque Assunção de Carvalho, A. M. Costa, M. A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti:
Supervised fractional eigenfaces. ICIP 2015: 552-555 - [c96]Diêgo J. C. Santiago, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang:
Efficient 2×2 block-based connected components labeling algorithms. ICIP 2015: 4818-4822 - [c95]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: 1-8 - [c94]Dayvid V. R. Oliveira, George D. C. Cavalcanti, Tsang Ing Ren, Ricardo M. A. Silva:
Evolutionary Adaptive Self-Generating Prototypes for imbalanced datasets. IJCNN 2015: 1-8 - [c93]Dayvid V. R. Oliveira, Thyago N. Porpino, George D. C. Cavalcanti, Tsang Ing Ren:
A bootstrap-based iterative selection for ensemble generation. IJCNN 2015: 1-7 - [i1]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 abs/1509.00825 (2015) - 2014
- [j11]Paulo S. G. de Mattos Neto, Francisco Madeiro, Tiago A. E. Ferreira, George D. C. Cavalcanti:
Hybrid intelligent system for air quality forecasting using phase adjustment. Eng. Appl. Artif. Intell. 32: 185-191 (2014) - [j10]Nara M. Portela, George D. C. Cavalcanti, Tsang Ing Ren:
Semi-supervised clustering for MR brain image segmentation. Expert Syst. Appl. 41(4): 1492-1497 (2014) - [j9]Euclides N. Arcoverde Neto, Rafael M. Duarte, Rafael M. Barreto, João Paulo Magalhães, Carlos A. C. M. Bastos, Tsang Ing Ren, George D. C. Cavalcanti:
Enhanced real-time head pose estimation system for mobile device. Integr. Comput. Aided Eng. 21(3): 281-293 (2014) - [c92]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis. ANNPR 2014: 59-70 - [c91]Tiago Buarque Assunção de Carvalho, M. A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Fractional Eigenfaces. ICIP 2014: 258-262 - [c90]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On Meta-learning for Dynamic Ensemble Selection. ICPR 2014: 1230-1235 - [c89]Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, Ing-Jyh Tsang, Jan Sijbers:
Type-2 Fuzzy GMMs for Robust Text-Independent Speaker Verification in Noisy Environments. ICPR 2014: 4531-4536 - [c88]Diogo da Silva Severo, Everson Verissimo, George D. C. Cavalcanti, Tsang Ing Ren:
A modular neural network architecture that selects a different set of features per module. IJCNN 2014: 1370-1374 - [c87]Luis Filipe Alves Pereira, Andrei Dabravolski, Tsang Ing Ren, George D. C. Cavalcanti, Jan Sijbers:
Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography. SIBGRAPI 2014: 290-297 - [c86]Shayane de Oliveira Moura, Marcelo Bassani de Freitas, Halisson Alberdan Cavalcanti Cardoso, George D. C. Cavalcanti:
Choosing instance selection method using meta-learning. SMC 2014: 2003-2007 - 2013
- [j8]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): 3813-3827 (2013) - [j7]George D. C. Cavalcanti, Tsang Ing Ren, José Francisco Pereira:
Weighted Modular Image Principal Component Analysis for face recognition. Expert Syst. Appl. 40(12): 4971-4977 (2013) - [j6]Rafael Ferreira, Luciano de Souza Cabral, Rafael Dueire Lins, Gabriel Pereira e Silva, Fred Freitas, George D. C. Cavalcanti, Rinaldo Lima, Steven J. Simske, Luciano Favaro:
Assessing sentence scoring techniques for extractive text summarization. Expert Syst. Appl. 40(14): 5755-5764 (2013) - [j5]George D. C. Cavalcanti, Tsang Ing Ren, Cesar Lima Pereira:
ATISA: Adaptive Threshold-based Instance Selection Algorithm. Expert Syst. Appl. 40(17): 6894-6900 (2013) - [j4]Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction. Expert Syst. Appl. 40(18): 7258-7266 (2013) - [j3]Bruno José Torres Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
Lateral Inhibition Pyramidal Neural Network for Image Classification. IEEE Trans. Cybern. 43(6): 2082-2092 (2013) - [c85]Diêgo J. C. Santiago, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang:
Fast block-based algorithms for connected components labeling. ICASSP 2013: 2084-2088 - [c84]Nara M. Portela, George D. C. Cavalcanti, Tsang Ing Ren:
Contextual Image Segmentation Based on the Potts Model. ICTAI 2013: 256-261 - [c83]Diogo da Silva Severo, Everson Verissimo, George D. C. Cavalcanti, Tsang Ing Ren:
Hybrid Feature Selection and Weighting Method Based on Binary Particle Swarm Optimization. ICTAI 2013: 433-438 - [c82]V. Macário, G. F. P. Silva, Milena R. P. Souza, Cleber Zanchettin, George D. C. Cavalcanti:
Metaclasses and zoning for handwritten document recognition. IJCNN 2013: 1-5 - [c81]Everson Verissimo, Diogo da Silva Severo, George D. C. Cavalcanti, Tsang Ing Ren:
Diversity in task decomposition: A strategy for combining mixtures of experts. IJCNN 2013: 1-5 - [c80]Caio C. Sabino, Laís S. Andrade, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Motion Compensation Techniques in Permutation-Based Video Encryption. SMC 2013: 1578-1581 - [c79]Silvio G. O. Santos, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Pedestrian Detection under Progressive Occlusion. SMC 2013: 4322-4327 - [c78]Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Type-2 Fuzzy GMM-UBM for Text-Independent Speaker Verification. SMC 2013: 4328-4331 - [c77]Leonardo Valeriano Neri, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
A Combined Features Approach for Speaker Segmentation Using BIC and Artificial Neural Networks. SMC 2013: 4332-4335 - 2012
- [j2]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Renato Fernandes Corrêa, Tsang Ing Ren:
A global-ranking local feature selection method for text categorization. Expert Syst. Appl. 39(17): 12851-12857 (2012) - [c76]Rafael M. Barreto, Tsang Ing Ren, George D. C. Cavalcanti:
L2-Norm metric learning applied to unconstrained face pair-matching. ICIP 2012: 581-584 - [c75]Wendeson S. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti:
Retinal vessel segmentation using Average of Synthetic Exact Filters and Hessian matrix. ICIP 2012: 2017-2020 - [c74]Wendeson S. Oliveira, Tsang Ing Ren, George D. C. Cavalcanti:
An Unsupervised Segmentation Method for Retinal Vessel Using Combined Filters. ICTAI 2012: 750-756 - [c73]Hugo R. Albuquerque, Tsang Ing Ren, George D. C. Cavalcanti:
Image Fusion Combining Frequency Domain Techniques Based on Focus. ICTAI 2012: 757-762 - [c72]Cristiano de Santana Pereira, George D. C. Cavalcanti:
Competence Enhancement for Nearest Neighbor Classification Rule by Ranking-Based Instance Selection. ICTAI 2012: 763-769 - [c71]Everson Verissimo, Diogo da Silva Severo, George D. C. Cavalcanti, Tsang Ing Ren:
A Dimensionality Reduction Approach for Modular Neural Networks. ICTAI 2012: 886-891 - [c70]Dayvid V. R. Oliveira, Guilherme R. Magalhaes, George D. C. Cavalcanti, Tsang Ing Ren:
Improved Self-Generating Prototypes Algorithm for Imbalanced Datasets. ICTAI 2012: 904-909 - [c69]Elias Rodrigues da Silva Júnior, George D. C. Cavalcanti, Tsang Ing Ren:
Class-Dependent Locality Preserving Projections for Multimodal Scenarios. ICTAI 2012: 982-987 - [c68]George D. C. Cavalcanti, Tsang Ing Ren, Breno A. Vale:
Data Complexity Measures and Nearest Neighbor Classifiers: A Practical Analysis for Meta-learning. ICTAI 2012: 1065-1069 - [c67]Adriana Cruz de Gois, Victor Oliveira Antonino, Tsang Ing Ren, George D. C. Cavalcanti:
Model Representation for Facial Expression Recognition Based on Shape and Texture. ICTAI 2012: 1082-1087 - [c66]João Paulo Magalhães, Tsang Ing Ren, George D. C. Cavalcanti:
Face Detection under Illumination Variance Using Combined AdaBoost and Gradientfaces. IDEAL 2012: 435-442 - [c65]Carlos A. C. M. Bastos, Tsang Ing Ren, George D. C. Cavalcanti:
Iris Segmentation and Recognition Using 2D Log-Gabor Filters. IDEAL 2012: 443-450 - [c64]Tsang Ing Ren, George D. C. Cavalcanti, Dimas Gabriel, Hector N. B. Pinheiro:
A Hybrid GMM Speaker Verification System for Mobile Devices in Variable Environments. IDEAL 2012: 451-458 - [c63]Tsang Ing Ren, George D. C. Cavalcanti, Francisco Nascimento Junior, Gabriela Espadas:
A Neural Network Based Approach for GPCR Protein Prediction Using Pattern Discovery. IDEAL 2012: 459-466 - [c62]Euclides N. Arcoverde Neto, Rafael M. Barreto, Rafael M. Duarte, João Paulo Magalhães, Carlos A. C. M. Bastos, Tsang Ing Ren, George D. C. Cavalcanti:
Real-Time Head Pose Estimation for Mobile Devices. IDEAL 2012: 467-474 - [c61]Elliackin M. N. Figueiredo, Rafael G. Mesquita, Teresa Bernarda Ludermir, George D. C. Cavalcanti:
Application of the IPSONet in face detection. IJCNN 2012: 1-7 - [c60]Luis Filipe A. Pereira, Hector N. B. Pinheiro, Jose Ivson S. Silva, Anderson G. Silva, Thais M. L. Pina, George D. C. Cavalcanti, Tsang Ing Ren, Joao Paulo Nogueira de Oliveir:
A fingerprint spoof detection based on MLP and SVM. IJCNN 2012: 1-7 - [c59]George D. C. Cavalcanti, Luis Filipe A. Pereira, Hector N. B. Pinheiro, Jose Ivson S. Silva, Anderson G. Silva, Thais M. L. Pina, Daniel B. O. Carvalho, Tsang Ing Ren:
A modular architecture based on image quality for fingerprint spoof detection. SMC 2012: 258-262 - [c58]George D. C. Cavalcanti, Ing Ren Tsang, Josivan R. Reis:
Recognition of partially occluded face using Gradientface and Local Binary Patterns. SMC 2012: 2324-2329 - [c57]Ing Ren Tsang, Dimas Gabriel, Hector N. B. Pinheiro, George D. C. Cavalcanti:
Speaker verification using type-2 Fuzzy Gaussian Mixture Models. SMC 2012: 2336-2340 - [c56]Ing Ren Tsang, Diogo C. Lemos, Dario S. M. Pinheiro, George D. C. Cavalcanti, Ing Jyh Tsang:
Video colortoning. SMC 2012: 2341-2344 - [c55]Tiago Buarque Assunção de Carvalho, M. A. A. Sibaldo, Denise Jaeger Tenório, Ing Ren Tsang, George D. C. Cavalcanti, Ing Jyh Tsang:
Neighborhood coding for image representation and neighborhood operations. SMC 2012: 2345-2349 - [c54]George D. C. Cavalcanti, João Paulo Magalhães, Rafael M. Barreto, Ing Ren Tsang:
MLPBoost: A combined AdaBoost / multi-layer perceptron network approach for face detection. SMC 2012: 2350-2353 - [c53]Ing Ren Tsang, João Paulo Magalhães, George D. C. Cavalcanti:
Combined AdaBoost and gradientfaces for face detection under illumination problems. SMC 2012: 2354-2358 - [c52]Carlos A. C. M. Bastos, Ing Ren Tsang, Gabriel S. Vasconcelos, George D. C. Cavalcanti:
Pupil segmentation using Pulling & Pushing and BSOM neural network. SMC 2012: 2359-2364 - 2011
- [c51]Carlos A. B. Mello, Ángel Sánchez, George D. C. Cavalcanti:
Multiple Line Skew Estimation of Handwritten Images of Documents Based on a Visual Perception Approach. CAIP (2) 2011: 138-145 - [c50]Tiago C. Bockholt, George D. C. Cavalcanti, Carlos A. B. Mello:
Document image retrieval with morphology-based segmentation and features combination. DRR 2011: 787415 - [c49]Cesar Lima Pereira, Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
Fuzzy Active Contour Models. FUZZ-IEEE 2011: 1621-1627 - [c48]José Francisco Pereira, Rafael M. Barreto, George D. C. Cavalcanti, Ing Ren Tsang:
A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification. ICASSP 2011: 1469-1472 - [c47]Cristiano de Santana Pereira, George D. C. Cavalcanti:
Handwritten connected digits detection: An approach using instance selection. ICIP 2011: 2613-2616 - [c46]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: 1126-1133 - [c45]Bruno J. T. Fernandes, George D. C. Cavalcanti, Tsang Ing Ren:
Autoassociative Pyramidal Neural Network for face verification. IJCNN 2011: 1612-1617 - [c44]Guilherme V. Carvalho, Lailson B. Moraes, George D. C. Cavalcanti, Ing Ren Tsang:
A weighted image reconstruction based on PCA for pedestrian detection. IJCNN 2011: 2005-2011 - [c43]Armando A. Gonçalves, Igor Alencar, Ing Ren Tsang, George D. C. Cavalcanti:
GA-PAT-KNN: Framework for time series forecasting. IJCNN 2011: 2363-2367 - [c42]Cristiano de Santana Pereira, George D. C. Cavalcanti:
Instance selection algorithm based on a Ranking Procedure. IJCNN 2011: 2409-2416 - [c41]Gustavo H. T. Ribeiro, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Ing Ren Tsang:
Lag selection for time series forecasting using Particle Swarm Optimization. IJCNN 2011: 2437-2444 - [c40]Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti:
A simulation environment for volatility analysis of developed and in development markets. IJCNN 2011: 2450-2456 - [c39]Gabriel S. Vasconcelos, Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
BSOM network for pupil segmentation. IJCNN 2011: 2704-2709 - 2010
- [j1]Angélica A. Mascaro, George D. C. Cavalcanti, Carlos A. B. Mello:
Fast and robust skew estimation of scanned documents through background area information. Pattern Recognit. Lett. 31(11): 1403-1411 (2010) - [c38]Nitai B. Silva, Ing Ren Tsang, George D. C. Cavalcanti, Ing-Jyh Tsang:
A graph-based friend recommendation system using Genetic Algorithm. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c37]Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
A combined Pulling & pushing and Active Contour method for pupil segmentation. ICASSP 2010: 850-853 - [c36]Tiago Buarque Assunção de Carvalho, Denise Jaeger Tenório, Ing Ren Tsang, George Darmiton da Cunha Cavalcanti, Ing-Jyh Tsang:
Neighborhood coding for bilevel image compression and shape recognition. ICASSP 2010: 1302-1305 - [c35]Milena R. P. Souza, George D. C. Cavalcanti, Ing Ren Tsang:
Off-line Signature Verification: An Approach Based on Combining Distances and One-class Classifiers. ICTAI (1) 2010: 7-11 - [c34]Cesar Lima Pereira, George D. C. Cavalcanti, Ing Ren Tsang:
A New Heterogeneous Dissimilarity Measure for Data Classification. ICTAI (2) 2010: 373-374 - [c33]Carlos A. C. M. Bastos, Ing Ren Tsang, George D. C. Cavalcanti:
Analysis of 2D log-Gabor Filters to Encode Iris Patterns. ICTAI (2) 2010: 377-378 - [c32]Victor Medeiros Outtes Alves, George D. C. Cavalcanti:
A nonexclusive task decomposition method for modular neural networks. IJCNN 2010: 1-6 - [c31]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: 1-8 - [c30]Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti:
An intelligent perturbative approach for the time series forecasting problem. IJCNN 2010: 1-8 - [c29]Manoel C. Amorim Neto, Gustavo Tavares, Victor Medeiros Outtes Alves, George D. C. Cavalcanti, Ing Ren Tsang:
Improving financial time series prediction using exogenous series and neural networks committees. IJCNN 2010: 1-8 - [c28]Elias Rodrigues da Silva Júnior, George D. C. Cavalcanti, Ing Ren Tsang:
Does the affinity matrix influence the performance of the Locality Preserving Projection algorithm? SMC 2010: 4169-4175
2000 – 2009
- 2009
- [c27]Rodolfo P. dos Santos, Gabriela S. Clemente, Ing Ren Tsang, George D. C. Cavalcanti:
Text Line Segmentation Based on Morphology and Histogram Projection. ICDAR 2009: 651-655 - [c26]Cristiano de Santana Pereira, George D. C. Cavalcanti:
Prototype Selection for Handwritten Connected Digits Classification. ICDAR 2009: 1021-1025 - [c25]Jose Lima Alexandrino, George D. C. Cavalcanti, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent system clonart applied to face recognition. IJCNN 2009: 102-107 - [c24]Victor Medeiros Outtes Alves, George D. C. Cavalcanti:
Tree Architecture Pattern Distributor: a task decomposition classification approach. IJCNN 2009: 133-140 - [c23]Manoel C. Amorim Neto, George D. C. Cavalcanti, Ing Ren Tsang:
Financial time series prediction using exogenous series and combined neural networks. IJCNN 2009: 149-156 - [c22]Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
A receptive field based approach for face detection. IJCNN 2009: 803-810 - [c21]José Francisco Pereira, George D. C. Cavalcanti, Ing Ren Tsang:
Modular Image Principal Component Analysis for face recognition. IJCNN 2009: 2481-2486 - 2008
- [c20]Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields. HIS 2008: 126-131 - [c19]Francisco Nascimento Junior, Ing Ren Tsang, George D. C. Cavalcanti:
A SVM for GPCR Protein Prediction Using Pattern Discovery. HIS 2008: 429-434 - [c18]Bruno J. T. Fernandes, George D. C. Cavalcanti:
A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition. ICTAI (1) 2008: 227-230 - [c17]Cesar A. M. Carvalho, George D. C. Cavalcanti:
An Artificial Neural Network approach for user class-dependent off-line sentence segmentation. IJCNN 2008: 2722-2726 - [c16]Cristiano de Santana Pereira, George D. C. Cavalcanti:
Prototype selection: Combining self-generating prototypes and Gaussian mixtures for pattern classification. IJCNN 2008: 3505-3510 - [c15]Adelia C. A. Barros, George D. C. Cavalcanti:
Combining global optimization algorithms with a simple adaptive distance for feature selection and weighting. IJCNN 2008: 3518-3523 - [c14]Milena R. P. Souza, Leandro R. Almeida, George D. C. Cavalcanti:
Combining Distances through an Auto-Encoder Network to Verify Signatures. SBRN 2008: 63-68 - [c13]Angélica A. Mascaro, George D. C. Cavalcanti:
Estimating the Skew Angle of Scanned Document through Background Area Information. SIBGRAPI 2008: 87-94 - 2007
- [c12]Gabriel L. F. B. G. Azevedo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting. IEEE Congress on Evolutionary Computation 2007: 3577-3584 - [c11]R. Araujo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
An Approach to Improve Accuracy Rate of On-line Signature Verification Systems of Different Sizes. ICDAR 2007: 332-336 - [c10]Aida Araujo Ferreira, Francisco Nascimento Jr., Ing Ren Tsang, George D. C. Cavalcanti, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. IJCNN 2007: 1796-1801 - [c9]Gabriel L. F. B. G. Azevedo, George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics. IJCNN 2007: 1947-1952 - 2006
- [c8]George D. C. Cavalcanti, Eduardo F. A. Silva, Cleber Zanchettin, Byron L. D. Bezerra, Rodrigo C. Doria, Juliano C. B. Rabelo:
A Heuristic Binarization Algorithm for Documents with Complex Background. ICIP 2006: 389-392 - [c7]Cleber Zanchettin, George D. C. Cavalcanti, Rodrigo C. Doria, Eduardo F. A. Silva, Juliano C. B. Rabelo, Byron L. D. Bezerra:
A neural architecture to identify courtesy amount delimiters. IJCNN 2006: 3210-3217 - 2003
- [c6]Katia S. Guimarães, Jeane C. B. Melo, George D. C. Cavalcanti:
Combining Few Neural Networks for Effective Secondary Structure Prediction. BIBE 2003: 415-420 - [c5]George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
Eigenbands fusion for frontal face recognition. ICIP (1) 2003: 665-668 - [c4]Jeane C. B. Melo, George D. C. Cavalcanti, Katia S. Guimarães:
PCA feature extraction for protein structure prediction. IJCNN 2003: 2952-2957 - [c3]Jeane C. B. Melo, George D. C. Cavalcanti, Katia S. Guimarães:
Protein secondary structure prediction with ICA feature extraction. NNSP 2003: 13-22 - 2002
- [c2]George D. C. Cavalcanti, Edson C. B. Carvalho Filho:
An architecture for document management. ICIP (3) 2002: 973-976 - [c1]George D. C. Cavalcanti, Rodrigo C. Doria, Edson Costa de Barros Carvalho Filho:
Feature selection for off-line recognition of different size signatures. NNSP 2002: 355-364
Coauthor Index
Rafael M. O. Cruz
aka: Rafael Menelau Oliveira E. Cruz
aka: Rafael Menelau Oliveira E. Cruz
[j66] [j65] [j63] [j62] [j61] [j57] [j56] [j55] [j52] [c131] [c130] [d1] [i22] [j49] [j48] [c128] [i21] [i20] [i19] [j38] [c123] [i17] [j34] [j32] [j31] [c119] [j28] [j27] [j26] [c114] [c112] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j23] [c109] [c108] [c107] [j15] [c103] [j12] [c95] [i1] [c92] [c90] [j8] [c46] [c31]
Ing Jyh Tsang
aka: Ing-Jyh Tsang
aka: Ing-Jyh Tsang
Ing Ren Tsang
aka: Tsang Ing Ren
aka: Tsang Ing Ren
[c134] [c129] [j42] [c127] [j36] [j35] [j30] [i8] [i6] [j25] [j22] [j21] [c111] [c110] [j16] [c106] [c104] [c102] [j13] [j12] [c99] [c97] [c96] [c94] [c93] [j10] [j9] [c91] [c89] [c88] [c87] [j8] [j7] [j5] [j4] [j3] [c85] [c84] [c83] [c81] [c80] [c79] [c78] [c77] [j2] [c76] [c75] [c74] [c73] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c49] [c48] [c46] [c45] [c44] [c43] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c29] [c28] [c27] [c23] [c22] [c21] [c20] [c19] [c10]
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