An architecture for document management. - George D. C. Cavalcanti; Edson C. B. Carvalho Filho (ICIP (3), 2002)

Feature selection for off-line recognition of different size signatures. - George D. C. Cavalcanti; Rodrigo C. Doria; Edson Costa de Barros Carvalho Filho (NNSP, 2002)

Combining Few Neural Networks for Effective Secondary Structure Prediction. - Katia S. Guimarães; Jeane C. B. Melo; George D. C. Cavalcanti (BIBE, 2003)

Eigenbands fusion for frontal face recognition. - George D. C. Cavalcanti; Edson C. B. Carvalho Filho (ICIP (1), 2003)

PCA feature extraction for protein structure prediction. - Jeane C. B. Melo; George D. C. Cavalcanti; Katia S. Guimarães (IJCNN, 2003)

Protein secondary structure prediction with ICA feature extraction. - Jeane C. B. Melo; George D. C. Cavalcanti; Katia S. Guimarães (NNSP, 2003)

A Heuristic Binarization Algorithm for Documents with Complex Background. - George D. C. Cavalcanti; Eduardo F. A. Silva; Cleber Zanchettin; Byron L. D. Bezerra; Rodrigo C. Doria; Juliano C. B. Rabelo (ICIP, 2006)

A neural architecture to identify courtesy amount delimiters. - Cleber Zanchettin; George D. C. Cavalcanti; Rodrigo C. Doria; Eduardo F. A. Silva; Juliano C. B. Rabelo; Byron L. D. Bezerra (IJCNN, 2006)

An approach to feature selection for keystroke dynamics systems based on PSO and feature weighting. - Gabriel L. F. B. G. Azevedo; George D. C. Cavalcanti; Edson C. B. Carvalho Filho (IEEE Congress on Evolutionary Computation, 2007)

An Approach to Improve Accuracy Rate of On-line Signature Verification Systems of Different Sizes. - R. Araujo; George D. C. Cavalcanti; Edson C. B. Carvalho Filho (ICDAR, 2007)

Hybrid Solution for the Feature Selection in Personal Identification Problems through Keystroke Dynamics. - Gabriel L. F. B. G. Azevedo; George D. C. Cavalcanti; Edson C. B. Carvalho Filho (IJCNN, 2007)

Analysis of mammogram using self-organizing neural networks based on spatial isomorphism. - Aida Araujo Ferreira; Francisco Nascimento Jr.; Ing Ren Tsang; George D. C. Cavalcanti; Teresa Bernarda Ludermir; Ronaldo Ribeiro Barbosa de Aquino (IJCNN, 2007)

Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Ing Ren Tsang (HIS, 2008)

A SVM for GPCR Protein Prediction Using Pattern Discovery. - Francisco Nascimento Junior; Ing Ren Tsang; George D. C. Cavalcanti (HIS, 2008)

A Pyramidal Neural Network Based on Nonclassical Receptive Field Inhibition. - Bruno J. T. Fernandes; George D. C. Cavalcanti (ICTAI (1), 2008)

Combining global optimization algorithms with a simple adaptive distance for feature selection and weighting. - Adelia C. A. Barros; George D. C. Cavalcanti (IJCNN, 2008)

An Artificial Neural Network approach for user class-dependent off-line sentence segmentation. - Cesar A. M. Carvalho; George D. C. Cavalcanti (IJCNN, 2008)

Prototype selection: Combining self-generating prototypes and Gaussian mixtures for pattern classification. - Cristiano de Santana Pereira; George D. C. Cavalcanti (IJCNN, 2008)

Combining Distances through an Auto-Encoder Network to Verify Signatures. - Milena R. P. Souza; Leandro R. Almeida; George D. C. Cavalcanti (SBRN, 2008)

Estimating the Skew Angle of Scanned Document through Background Area Information. - Angélica A. Mascaro; George D. C. Cavalcanti (SIBGRAPI, 2008)

Prototype Selection for Handwritten Connected Digits Classification. - Cristiano de Santana Pereira; George D. C. Cavalcanti (ICDAR, 2009)

Text Line Segmentation Based on Morphology and Histogram Projection. - Rodolfo P. dos Santos; Gabriela S. Clemente; Ing Ren Tsang; George D. C. Cavalcanti (ICDAR, 2009)

Hybrid intelligent system clonart applied to face recognition. - Jose Lima Alexandrino; George D. C. Cavalcanti; Edson Costa de Barros Carvalho Filho (IJCNN, 2009)

Tree Architecture Pattern Distributor: a task decomposition classification approach. - Victor Medeiros Outtes Alves; George D. C. Cavalcanti (IJCNN, 2009)

A receptive field based approach for face detection. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2009)

Financial time series prediction using exogenous series and combined neural networks. - Manoel C. Amorim Neto; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2009)

Modular Image Principal Component Analysis for face recognition. - José Francisco Pereira; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2009)

A graph-based friend recommendation system using Genetic Algorithm. - Nitai B. Silva; Ing Ren Tsang; George D. C. Cavalcanti; Ing-Jyh Tsang (IEEE Congress on Evolutionary Computation, 2010)

A combined Pulling & pushing and Active Contour method for pupil segmentation. - Carlos A. C. M. Bastos; Ing Ren Tsang; George D. C. Cavalcanti (ICASSP, 2010)

Neighborhood coding for bilevel image compression and shape recognition. - Tiago Buarque Assunção de Carvalho; Denise Jaeger Tenório; Ing Ren Tsang; George Darmiton da Cunha Cavalcanti; Ing-Jyh Tsang (ICASSP, 2010)

Analysis of 2D log-Gabor Filters to Encode Iris Patterns. - Carlos A. C. M. Bastos; Ing Ren Tsang; George D. C. Cavalcanti (ICTAI (2), 2010)

A New Heterogeneous Dissimilarity Measure for Data Classification. - Cesar Lima Pereira; George D. C. Cavalcanti; Ing Ren Tsang (ICTAI (2), 2010)

Off-line Signature Verification: An Approach Based on Combining Distances and One-class Classifiers. - Milena R. P. Souza; George D. C. Cavalcanti; Ing Ren Tsang (ICTAI (1), 2010)

A nonexclusive task decomposition method for modular neural networks. - Victor Medeiros Outtes Alves; George D. C. Cavalcanti (IJCNN, 2010)

An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques. - Rafael M. O. Cruz; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2010)

An intelligent perturbative approach for the time series forecasting problem. - Paulo S. G. de Mattos Neto; Aranildo R. Lima; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2010)

Improving financial time series prediction using exogenous series and neural networks committees. - Manoel C. Amorim Neto; Gustavo Tavares; Victor Medeiros Outtes Alves; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2010)

Does the affinity matrix influence the performance of the Locality Preserving Projection algorithm? - Elias Rodrigues da Silva Júnior; George D. C. Cavalcanti; Ing Ren Tsang (SMC, 2010)

Fast and robust skew estimation of scanned documents through background area information. - Angélica A. Mascaro; George D. C. Cavalcanti; Carlos A. B. Mello (Pattern Recognit. Lett., 2010)

Multiple Line Skew Estimation of Handwritten Images of Documents Based on a Visual Perception Approach. - Carlos A. B. Mello; Ángel Sánchez 001; George D. C. Cavalcanti (CAIP (2), 2011)

Document image retrieval with morphology-based segmentation and features combination. - Tiago C. Bockholt; George D. C. Cavalcanti; Carlos A. B. Mello (DRR, 2011)

Fuzzy Active Contour Models. - Cesar Lima Pereira; Carlos A. C. M. Bastos; Ing Ren Tsang; George D. C. Cavalcanti (FUZZ-IEEE, 2011)

A robust feature extraction algorithm based on class-Modular Image Principal Component Analysis for face verification. - José Francisco Pereira; Rafael M. Barreto; George D. C. Cavalcanti; Ing Ren Tsang (ICASSP, 2011)

Handwritten connected digits detection: An approach using instance selection. - Cristiano de Santana Pereira; George D. C. Cavalcanti (ICIP, 2011)

A weighted image reconstruction based on PCA for pedestrian detection. - Guilherme V. Carvalho; Lailson B. Moraes; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2011)

A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence. - Rafael M. O. Cruz; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2011)

Autoassociative Pyramidal Neural Network for face verification. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2011)

GA-PAT-KNN: Framework for time series forecasting. - Armando A. Gonçalves; Igor Alencar; Ing Ren Tsang; George D. C. Cavalcanti (IJCNN, 2011)

A simulation environment for volatility analysis of developed and in development markets. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2011)

Instance selection algorithm based on a Ranking Procedure. - Cristiano de Santana Pereira; George D. C. Cavalcanti (IJCNN, 2011)

Lag selection for time series forecasting using Particle Swarm Optimization. - Gustavo H. T. Ribeiro; Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2011)

BSOM network for pupil segmentation. - Gabriel S. Vasconcelos; Carlos A. C. M. Bastos; Ing Ren Tsang; George D. C. Cavalcanti (IJCNN, 2011)

L2-Norm metric learning applied to unconstrained face pair-matching. - Rafael M. Barreto; Tsang Ing Ren; George D. C. Cavalcanti (ICIP, 2012)

Retinal vessel segmentation using Average of Synthetic Exact Filters and Hessian matrix. - Wendeson S. Oliveira; Tsang Ing Ren; George D. C. Cavalcanti (ICIP, 2012)

Image Fusion Combining Frequency Domain Techniques Based on Focus. - Hugo R. Albuquerque; Tsang Ing Ren; George D. C. Cavalcanti (ICTAI, 2012)

Data Complexity Measures and Nearest Neighbor Classifiers: A Practical Analysis for Meta-learning. - George D. C. Cavalcanti; Tsang Ing Ren; Breno A. Vale (ICTAI, 2012)

Model Representation for Facial Expression Recognition Based on Shape and Texture. - Adriana Cruz de Gois; Victor Oliveira Antonino; Tsang Ing Ren; George D. C. Cavalcanti (ICTAI, 2012)

Improved Self-Generating Prototypes Algorithm for Imbalanced Datasets. - Dayvid V. R. Oliveira; Guilherme R. Magalhaes; George D. C. Cavalcanti; Tsang Ing Ren (ICTAI, 2012)

An Unsupervised Segmentation Method for Retinal Vessel Using Combined Filters. - Wendeson S. Oliveira; Tsang Ing Ren; George D. C. Cavalcanti (ICTAI, 2012)

Competence Enhancement for Nearest Neighbor Classification Rule by Ranking-Based Instance Selection. - Cristiano de Santana Pereira; George D. C. Cavalcanti (ICTAI, 2012)

Class-Dependent Locality Preserving Projections for Multimodal Scenarios. - Elias Rodrigues da Silva Júnior; George D. C. Cavalcanti; Tsang Ing Ren (ICTAI, 2012)

A Dimensionality Reduction Approach for Modular Neural Networks. - Everson Verissimo; Diogo da Silva Severo; George D. C. Cavalcanti; Tsang Ing Ren (ICTAI, 2012)

Iris Segmentation and Recognition Using 2D Log-Gabor Filters. - Carlos A. C. M. Bastos; Tsang Ing Ren; George D. C. Cavalcanti (IDEAL, 2012)

Face Detection under Illumination Variance Using Combined AdaBoost and Gradientfaces. - João Paulo Magalhães; Tsang Ing Ren; George D. C. Cavalcanti (IDEAL, 2012)

Real-Time Head Pose Estimation for Mobile Devices. - 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 (IDEAL, 2012)

A Hybrid GMM Speaker Verification System for Mobile Devices in Variable Environments. - Tsang Ing Ren; George D. C. Cavalcanti; Dimas Gabriel; Hector N. B. Pinheiro (IDEAL, 2012)

A Neural Network Based Approach for GPCR Protein Prediction Using Pattern Discovery. - Tsang Ing Ren; George D. C. Cavalcanti; Francisco Nascimento Junior; Gabriela Espadas (IDEAL, 2012)

Application of the IPSONet in face detection. - Elliackin M. N. Figueiredo; Rafael G. Mesquita; Teresa Bernarda Ludermir; George D. C. Cavalcanti (IJCNN, 2012)

A fingerprint spoof detection based on MLP and SVM. - 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 (IJCNN, 2012)

Pupil segmentation using Pulling & Pushing and BSOM neural network. - Carlos A. C. M. Bastos; Ing Ren Tsang; Gabriel S. Vasconcelos; George D. C. Cavalcanti (SMC, 2012)

Neighborhood coding for image representation and neighborhood operations. - Tiago Buarque Assunção de Carvalho; M. A. A. Sibaldo; Denise Jaeger Tenório; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang (SMC, 2012)

MLPBoost: A combined AdaBoost / multi-layer perceptron network approach for face detection. - George D. C. Cavalcanti; João Paulo Magalhães; Rafael M. Barreto; Ing Ren Tsang (SMC, 2012)

A modular architecture based on image quality for fingerprint spoof detection. - 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 (SMC, 2012)

Recognition of partially occluded face using Gradientface and Local Binary Patterns. - George D. C. Cavalcanti; Ing Ren Tsang; Josivan R. Reis (SMC, 2012)

Speaker verification using type-2 Fuzzy Gaussian Mixture Models. - Ing Ren Tsang; Dimas Gabriel; Hector N. B. Pinheiro; George D. C. Cavalcanti (SMC, 2012)

Video colortoning. - Ing Ren Tsang; Diogo C. Lemos; Dario S. M. Pinheiro; George D. C. Cavalcanti; Ing Jyh Tsang (SMC, 2012)

Combined AdaBoost and gradientfaces for face detection under illumination problems. - Ing Ren Tsang; João Paulo Magalhães; George D. C. Cavalcanti (SMC, 2012)

A global-ranking local feature selection method for text categorization. - Roberto H. W. Pinheiro; George D. C. Cavalcanti; Renato Fernandes Corrêa; Tsang Ing Ren (Expert Syst. Appl., 2012)

Fast block-based algorithms for connected components labeling. - Diêgo J. C. Santiago; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang (ICASSP, 2013)

Contextual Image Segmentation Based on the Potts Model. - Nara M. Portela; George D. C. Cavalcanti; Tsang Ing Ren (ICTAI, 2013)

Hybrid Feature Selection and Weighting Method Based on Binary Particle Swarm Optimization. - Diogo da Silva Severo; Everson Verissimo; George D. C. Cavalcanti; Tsang Ing Ren (ICTAI, 2013)

Metaclasses and zoning for handwritten document recognition. - V. Macário; G. F. P. Silva; Milena R. P. Souza; Cleber Zanchettin; George D. C. Cavalcanti (IJCNN, 2013)

Diversity in task decomposition: A strategy for combining mixtures of experts. - Everson Verissimo; Diogo da Silva Severo; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2013)

A Combined Features Approach for Speaker Segmentation Using BIC and Artificial Neural Networks. - Leonardo Valeriano Neri; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Type-2 Fuzzy GMM-UBM for Text-Independent Speaker Verification. - Hector N. B. Pinheiro; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Motion Compensation Techniques in Permutation-Based Video Encryption. - Caio C. Sabino; Laís S. Andrade; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Pedestrian Detection under Progressive Occlusion. - Silvio G. O. Santos; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (SMC, 2013)

Weighted Modular Image Principal Component Analysis for face recognition. - George D. C. Cavalcanti; Tsang Ing Ren; José Francisco Pereira (Expert Syst. Appl., 2013)

ATISA: Adaptive Threshold-based Instance Selection Algorithm. - George D. C. Cavalcanti; Tsang Ing Ren; Cesar Lima Pereira (Expert Syst. Appl., 2013)

Feature representation selection based on Classifier Projection Space and Oracle analysis. - Rafael M. O. Cruz; George D. C. Cavalcanti; Ing Ren Tsang; Robert Sabourin (Expert Syst. Appl., 2013)

AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extraction. - Bruno J. T. Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (Expert Syst. Appl., 2013)

Assessing sentence scoring techniques for extractive text summarization. - Rafael Ferreira 002; Luciano de Souza Cabral; Rafael Dueire Lins; Gabriel Pereira e Silva; Fred Freitas; George D. C. Cavalcanti; Rinaldo Lima; Steven J. Simske; Luciano Favaro (Expert Syst. Appl., 2013)

Lateral Inhibition Pyramidal Neural Network for Image Classification. - Bruno José Torres Fernandes; George D. C. Cavalcanti; Tsang Ing Ren (IEEE Trans. Cybern., 2013)

Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (ANNPR, 2014)

Fractional Eigenfaces. - Tiago Buarque Assunção de Carvalho; M. A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (ICIP, 2014)

On Meta-learning for Dynamic Ensemble Selection. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (ICPR, 2014)

Type-2 Fuzzy GMMs for Robust Text-Independent Speaker Verification in Noisy Environments. - Hector N. B. Pinheiro; Tsang Ing Ren; George D. C. Cavalcanti; Ing-Jyh Tsang; Jan Sijbers (ICPR, 2014)

A modular neural network architecture that selects a different set of features per module. - Diogo da Silva Severo; Everson Verissimo; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2014)

Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography. - Luis Filipe Alves Pereira; Andrei Dabravolski; Tsang Ing Ren; George D. C. Cavalcanti; Jan Sijbers (SIBGRAPI, 2014)

Choosing instance selection method using meta-learning. - Shayane de Oliveira Moura; Marcelo Bassani de Freitas; Halisson Alberdan Cavalcanti Cardoso; George D. C. Cavalcanti (SMC, 2014)

Hybrid intelligent system for air quality forecasting using phase adjustment. - Paulo S. G. de Mattos Neto; Francisco Madeiro; Tiago A. E. Ferreira; George D. C. Cavalcanti (Eng. Appl. Artif. Intell., 2014)

Semi-supervised clustering for MR brain image segmentation. - Nara M. Portela; George D. C. Cavalcanti; Tsang Ing Ren (Expert Syst. Appl., 2014)

Enhanced real-time head pose estimation system for mobile device. - 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 (Integr. Comput. Aided Eng., 2014)

Transducer State Prediction System for Smart Environment Intelligent Control. - Marcelo Bassani de Freitas; George D. C. Cavalcanti; Robert Sabourin (BRACIS, 2015)

Text Categorization Based on Dissimilarity Representation and Prototype Selection. - Roberto H. W. Pinheiro; George D. C. Cavalcanti; Tsang Ing Ren (BRACIS, 2015)

Supervised fractional eigenfaces. - Tiago Buarque Assunção de Carvalho; A. M. Costa; M. A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti (ICIP, 2015)

Efficient 2×2 block-based connected components labeling algorithms. - Diêgo J. C. Santiago; Tsang Ing Ren; George D. C. Cavalcanti; Ing Jyh Tsang (ICIP, 2015)

META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (IJCNN, 2015)

Evolutionary Adaptive Self-Generating Prototypes for imbalanced datasets. - Dayvid V. R. Oliveira; George D. C. Cavalcanti; Tsang Ing Ren; Ricardo M. A. Silva (IJCNN, 2015)

A bootstrap-based iterative selection for ensemble generation. - Dayvid V. R. Oliveira; Thyago N. Porpino; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2015)

A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (CoRR, 2015)

Data-driven global-ranking local feature selection methods for text categorization. - Roberto H. W. Pinheiro; George D. C. Cavalcanti; Tsang Ing Ren (Expert Syst. Appl., 2015)

META-DES: A dynamic ensemble selection framework using meta-learning. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti; Tsang Ing Ren (Pattern Recognit., 2015)

Pixel Clustering for Face Recognition. - Tiago Buarque Assunção de Carvalho; Maria A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Ing Jyh Tsang; Jan Sijbers (BRACIS, 2016)

A Method for Automatic Determination of the Feature Vector Size for Text Categorization. - Rogerio C. P. Fragoso; Roberto H. W. Pinheiro; George D. C. Cavalcanti (BRACIS, 2016)

Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions. - Hector N. B. Pinheiro; Sergio R. F. Vieira; Tsang Ing Ren; George D. C. Cavalcanti; Paulo S. G. de Mattos Neto (ICASSP, 2016)

Meta-regression based pool size prediction scheme for dynamic selection of classifiers. - Anandarup Roy; Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (ICPR, 2016)

Class-dependent feature selection algorithm for text categorization. - Rogerio C. P. Fragoso; Roberto H. W. Pinheiro; George D. C. Cavalcanti (IJCNN, 2016)

Facial expression Recognition based on Motion Estimation. - Hemir da Cunha Santiago; Tsang Ing Ren; George D. C. Cavalcanti (IJCNN, 2016)

A prediction classifier architecture to forecast device status on smart environments. - Bruno S. C. M. Vilar; Cezar P. Schroeder; Cristina Wada; Rayanne H. Bezerra; Leonardo L. A. Heitzmann; Rafael Simionato; George D. C. Cavalcanti (SMC, 2016)

An approach using support vector regression for mobile location in cellular networks. - Robson D. A. Timoteo; Lizandro N. Silva; Daniel C. Cunha 001; George D. C. Cavalcanti (Comput. Networks, 2016)

Meta-learning recommendation of default size of classifier pool for META-DES. - Anandarup Roy; Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (Neurocomputing, 2016)

Class-wise feature extraction technique for multimodal data. - Elias Rodrigues da Silva Júnior; George D. C. Cavalcanti; Tsang Ing Ren (Neurocomputing, 2016)

Combining diversity measures for ensemble pruning. - George D. C. Cavalcanti; Luiz S. Oliveira; Thiago J. M. Moura; Guilherme V. Carvalho (Pattern Recognit. Lett., 2016)

Speaker segmentation using i-vector in meetings domain. - Leonardo Valeriano Neri; Hector N. B. Pinheiro; Tsang Ing Ren; George D. C. Cavalcanti; André Gustavo Adami (ICASSP, 2017)

Optimizing speaker-specific filter banks for speaker verification. - Hector N. B. Pinheiro; Fernando M. P. Neto; Adriano L. I. Oliveira; Tsang Ing Ren; George D. C. Cavalcanti; André Gustavo Adami (ICASSP, 2017)

Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (IJCNN, 2017)

On the characterization of the Oracle for dynamic classifier selection. - Mariana de Araujo Souza; George D. C. Cavalcanti; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2017)

Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance? - Rafael M. O. Cruz; Hiba H. Zakane; Robert Sabourin; George D. C. Cavalcanti (IPTA, 2017)

Inline discrete tomography system: Application to agricultural product inspection. - Luis Filipe Alves Pereira; Eline Janssens; George D. C. Cavalcanti; Ing Ren Tsang; Mattias Van Dael; Pieter Verboven; Bart M. Nicolaï; Jan Sijbers (Comput. Electron. Agric., 2017)

Bias effect on predicting market trends with EMD. - Dennis Carnelossi Furlaneto; Luiz S. Oliveira; David Menotti; George D. C. Cavalcanti (Expert Syst. Appl., 2017)

META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (Inf. Fusion, 2017)

Combining dissimilarity spaces for text categorization. - Roberto H. W. Pinheiro; George D. C. Cavalcanti; Ing Ren Tsang (Inf. Sci., 2017)

Principal Component Analysis for Supervised Learning: a minimum classification error approach. - Tiago Buarque Assunção de Carvalho; Maria Aparecida Amorim Sibaldo; Ing Ren Tsang; George Darmiton da Cunha Cavalcanti (J. Inf. Data Manag., 2017)

A perturbative approach for enhancing the performance of time series forecasting. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; Aranildo R. Lima; Germano C. Vasconcelos; George D. C. Cavalcanti (Neural Networks, 2017)

Online pruning of base classifiers for Dynamic Ensemble Selection. - Dayvid V. R. Oliveira; George D. C. Cavalcanti; Robert Sabourin (Pattern Recognit., 2017)

Nonlinear combination method of forecasters applied to PM time series. - Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Francisco Madeiro (Pattern Recognit. Lett., 2017)

Ensemble Methods for Label Noise Detection Under the Noisy at Random Model. - Kecia Gomes de Moura; Ricardo Bastos Cavalcante Prudêncio; George Darmiton da Cunha Cavalcanti (BRACIS, 2018)

An empirical analysis of Combined Dissimilarity Spaces. - Leticia V. N. Lapenda; Roberto H. W. Pinheiro; George D. C. Cavalcanti (IJCNN, 2018)

K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. - Dayvid V. R. Oliveira; George D. C. Cavalcanti; Thyago N. Porpino; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2018)

Improving the accuracy of intelligent forecasting models using the Perturbation Theory. - Eraylson G. Silva; Domingos S. de O. Junior; George D. C. Cavalcanti; Paulo S. G. de Mattos Neto (IJCNN, 2018)

An Ensemble Generation Method Based on Instance Hardness. - Felipe N. Walmsley; George D. C. Cavalcanti; Dayvid V. R. Oliveira; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2018)

IntensityPatches and RegionPatches for image recognition. - Tiago Buarque Assunção de Carvalho; Maria A. A. Sibaldo; Ing Ren Tsang; George D. C. Cavalcanti; Jan Sijbers; Ing Jyh Tsang (Appl. Soft Comput., 2018)

On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (CoRR, 2018)

Online local pool generation for dynamic classifier selection: an extended version. - Mariana de Araujo Souza; George D. C. Cavalcanti; Rafael M. O. Cruz; Robert Sabourin (CoRR, 2018)

META-DES.Oracle: Meta-learning and feature selection for ensemble selection. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (CoRR, 2018)

ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. - Rafael M. O. Cruz; Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti (CoRR, 2018)

Combining sentence similarities measures to identify paraphrases. - Rafael Ferreira 002; George D. C. Cavalcanti; Fred Freitas; Rafael Dueire Lins; Steven J. Simske; Marcelo Riss (Comput. Speech Lang., 2018)

A study on combining dynamic selection and data preprocessing for imbalance learning. - Anandarup Roy; Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (Neurocomputing, 2018)

Dynamic classifier selection: Recent advances and perspectives. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (Inf. Fusion, 2018)

Prototype selection for dynamic classifier and ensemble selection. - Rafael M. O. Cruz; Robert Sabourin; George D. C. Cavalcanti (Neural Comput. Appl., 2018)

Evaluating Competence Measures for Dynamic Regressor Selection. - Thiago J. M. Moura; George D. C. Cavalcanti; Luiz S. Oliveira (IJCNN, 2019)

On evaluating the online local pool generation method for imbalance learning. - Mariana de Araujo Souza; George D. C. Cavalcanti; Rafael M. O. Cruz; Robert Sabourin (IJCNN, 2019)

Representation Learning and Dissimilarity for Writer Identification. - Lucas Georges Helal; Diego Bertolini; Yandre M. G. Costa; George D. C. Cavalcanti; Alceu S. Britto Jr.; Luiz E. S. Oliveira (IWSSIP, 2019)

Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers. - Eronides F. Da Silva Neto; Allan R. S. Feitosa; George D. C. Cavalcanti; Abel G. Silva-Filho (VTC Fall, 2019)

Combining binary classifiers in different dichotomy spaces for text categorization. - Roberto H. W. Pinheiro; George D. C. Cavalcanti; Ing Ren Tsang (Appl. Soft Comput., 2019)

Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning. - Rafael M. O. Cruz; Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti (Int. J. Pattern Recognit. Artif. Intell., 2019)

Data-driven Feature Selection Methods for Text Classification: an Empirical Evaluation. - Rogerio C. P. Fragoso; Roberto H. W. Pinheiro; George D. C. Cavalcanti (J. Univers. Comput. Sci., 2019)

FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection. - Rafael M. O. Cruz; Dayvid V. R. Oliveira; George D. C. Cavalcanti; Robert Sabourin (Pattern Recognit., 2019)

Online local pool generation for dynamic classifier selection. - Mariana de Araujo Souza; George D. C. Cavalcanti; Rafael M. O. Cruz; Robert Sabourin (Pattern Recognit., 2019)

Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. - Paulo S. G. de Mattos Neto; Péricles B. C. Miranda; George D. C. Cavalcanti; Tapas Si; Filipe R. Cordeiro; Mayara Castro (CEC, 2020)

On the evaluation of dynamic selection parameters for time series forecasting. - Eraylson G. Silva; George D. C. Cavalcanti; João Fausto Lorenzato de Oliveira; Paulo S. G. de Mattos Neto (IJCNN, 2020)

Multi-label learning for dynamic model type recommendation. - Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti; Rafael M. O. Cruz (IJCNN, 2020)

A two-level sampling strategy for pruning methods applied to credit scoring. - Luiz Vieira e Silva Filho; George D. C. Cavalcanti (SMC, 2020)

On the Selection of the Competence Measure for Dynamic Regressor Selection. - Thiago J. M. Moura; George D. C. Cavalcanti; Luiz S. Oliveira (SMC, 2020)

The dissimilarity approach: a review. - Yandre M. G. Costa; Diego Bertolini; Alceu S. Britto Jr.; George D. C. Cavalcanti; Luiz E. S. Oliveira (Artif. Intell. Rev., 2020)

Ranking-based instance selection for pattern classification. - George D. C. Cavalcanti; Rodolfo J. O. Soares (Expert Syst. Appl., 2020)

DESlib: A Dynamic ensemble selection library in Python. - Rafael M. O. Cruz; Luiz G. Hafemann; Robert Sabourin; George D. C. Cavalcanti (J. Mach. Learn. Res., 2020)

A temporal-window framework for modelling and forecasting time series. - Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Paulo Renato A. Firmino; Eraylson G. Silva; Sérgio R. P. Vila Nova Filho (Knowl. Based Syst., 2020)

Perturbation-based classifier. - Edson L. Araújo; George D. C. Cavalcanti; Tsang Ing Ren (Soft Comput., 2020)

The Gated Recurrent Conditional Generative Adversarial Network (GRC-GAN): application to denoising of low-dose CT images. - Mateus Baltazar de Almeida; Luis Filipe Alves Pereira; Tsang Ing Ren; George D. C. Cavalcanti; Jan Sijbers (SIBGRAPI, 2021)

On the Evaluation of Competence Measures for Time Series Forecasting. - Thiago J. M. Moura; George D. C. Cavalcanti; Luiz S. Oliveira (SMC, 2021)

Grave Artifacts in Image Inpainting: Investigating the Causes and Untangling the Factors. - Walber M. Rodrigues; Felipe N. Walmsley; George D. C. Cavalcanti; Jonysberg P. Quintino; Helder Pinho (IEEE Access, 2021)

A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. - Eraylson G. Silva; Paulo S. G. de Mattos Neto; George D. C. Cavalcanti (IEEE Access, 2021)

MINE: A framework for dynamic regressor selection. - Thiago J. M. Moura; George D. C. Cavalcanti; Luiz S. Oliveira (Inf. Sci., 2021)

Dynamic selection and combination of one-class classifiers for multi-class classification. - Rogerio C. P. Fragoso; George D. C. Cavalcanti; Roberto H. W. Pinheiro; Luiz S. Oliveira (Knowl. Based Syst., 2021)

Variational DNN embeddings for text-independent speaker verification. - Hector N. B. Pinheiro; Tsang Ing Ren; André Gustavo Adami; George D. C. Cavalcanti (Pattern Recognit. Lett., 2021)

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. - Lucas O. Teixeira; Rodolfo Miranda Pereira; Diego Bertolini; Luiz S. Oliveira; Loris Nanni; George D. C. Cavalcanti; Yandre M. G. Costa (Sensors, 2021)

Ensemble of Convolutional Neural Networks for Sparse-View Cone-Beam Computed Tomography. - Carlos A. Alves Júnior; Luis Filipe Alves Pereira; George D. C. Cavalcanti; Tsang Ing Ren (IJCNN, 2022)

Local overlap reduction procedure for dynamic ensemble selection. - Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti; Rafael M. O. Cruz (IJCNN, 2022)

Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning. - Francimaria R. S. Nascimento; George D. C. Cavalcanti; Márjory Da Costa-Abreu (Expert Syst. Appl., 2022)

Label noise detection under the noise at random model with ensemble filters. - Kecia Gomes de Moura; Ricardo B. C. Prudêncio; George D. C. Cavalcanti (Intell. Data Anal., 2022)

An investigation into the effects of label noise on Dynamic Selection algorithms. - Felipe N. Walmsley; George D. C. Cavalcanti; Robert Sabourin; Rafael M. O. Cruz (Inf. Fusion, 2022)

Selecting and combining complementary feature representations and classifiers for hate speech detection. - Rafael M. O. Cruz; Woshington V. de Sousa; George D. C. Cavalcanti (Online Soc. Networks Media, 2022)

COVID-19 Detection on Chest X-ray and CT Scan: A Review of the Top-100 Most Cited Papers. - 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 (Sensors, 2022)

GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network. - Mariana de Araujo Souza; Robert Sabourin; George Darmiton da Cunha Cavalcanti; Rafael Menelau Oliveira E. Cruz (GbRPR, 2023)

A Post-Selection Algorithm for Improving Dynamic Ensemble Selection Methods. - Paulo R. G. Cordeiro; George D. C. Cavalcanti; Rafael M. O. Cruz (SMC, 2023)

Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle. - Paulo R. G. Cordeiro; George D. C. Cavalcanti; Rafael M. O. Cruz (IEEE Access, 2023)

OLP++: An online local classifier for high dimensional data. - Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti; Rafael M. O. Cruz (Inf. Fusion, 2023)

The choice of scaling technique matters for classification performance. - Lucas B. V. de Amorim; George D. C. Cavalcanti; Rafael M. O. Cruz (Appl. Soft Comput., 2023)

Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features. - 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 (Neural Process. Lett., 2023)

A hybrid system based on ensemble learning to model residuals for time series forecasting. - Domingos S. de O. Junior; Paulo S. G. de Mattos Neto; João F. L. de Oliveira; George D. C. Cavalcanti (Inf. Sci., 2023)

Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation. - Walber M. Rodrigues; Felipe N. Walmsley; George D. C. Cavalcanti; Rafael M. O. Cruz (IEEE Trans. Computers, 2023)

Fault Analysis Database with Features (FADbF). - Leandro Augusto Ensina; Luiz Eduardo Soares de Oliveira; Rafael Menelau Oliveira E. Cruz; George Darmiton da Cunha Cavalcanti (Zenodo, 2023)

Cervical Cancer Detection in Pap Smear Images. - Pedro Maranhao; Tsang Ing Ren; George D. C. Cavalcanti (EPIA (2), 2024)

Combining Pruning Strategies to Generate Efficient Inpainting Networks. - Walber M. Rodrigues; Felipe N. Walmsley; Jonysberg P. Quintino; Helder de Sousa Pinho; George D. C. Cavalcanti (IJCNN, 2024)

Music Genre Classification Using Contrastive Dissimilarity. - Gabriel Henrique Costanzi; Lucas O. Teixeira; Gustavo Zanoni Felipe; George D. C. Cavalcanti; Yandre M. G. Costa (IWSSIP, 2024)

Resampling strategies for imbalanced regression: a survey and empirical analysis. - Juscimara Gomes Avelino; George D. C. Cavalcanti; Rafael M. O. Cruz (Artif. Intell. Rev., 2024)

Microservices performance forecast using dynamic Multiple Predictor Systems. - Wellison R. M. Santos; Adalberto R. Sampaio Jr.; Nelson S. Rosa; George D. C. Cavalcanti (Eng. Appl. Artif. Intell., 2024)

Subconcept perturbation-based classifier for within-class multimodal data. - George D. C. Cavalcanti; Rodolfo J. O. Soares; Edson L. Araújo (Neural Comput. Appl., 2024)

Fault distance estimation for transmission lines with dynamic regressor selection. - Leandro Augusto Ensina; Luiz Eduardo Soares de Oliveira; Rafael M. O. Cruz; George D. C. Cavalcanti (Neural Comput. Appl., 2024)

Fake news detection: Taxonomy and comparative study. - Faramarz Farhangian; Rafael M. O. Cruz; George D. C. Cavalcanti (Inf. Fusion, 2024)

A dynamic multiple classifier system using graph neural network for high dimensional overlapped data. - Mariana de Araujo Souza; Robert Sabourin; George D. C. Cavalcanti; Rafael M. O. Cruz (Inf. Fusion, 2024)

Recent advances in applications of machine learning in reward crowdfunding success forecasting. - George D. C. Cavalcanti; Wesley Mendes-Da-Silva; Israel J. dos S. Felipe; Leonardo A. Santos (Neural Comput. Appl., 2024)

Contrastive dissimilarity: optimizing performance on imbalanced and limited data sets. - Lucas O. Teixeira; Diego Bertolini; Luiz S. Oliveira; George D. C. Cavalcanti; Yandre M. G. Costa (Neural Comput. Appl., 2024)

Univariate vs multivariate prediction for containerised applications auto-scaling: a comparative study. - Wellison R. M. Santos; Adalberto R. Sampaio; Nelson S. Rosa; George D. C. Cavalcanti (SAC, 2025)

Improving open set recognition with dissimilarity-based metric learning. - Lucas O. Teixeira; Diego Bertolini; Luiz S. Oliveira; George D. C. Cavalcanti; Yandre M. G. Costa (Knowl. Based Syst., 2025)

Gender bias detection on hate speech classification: an analysis at feature-level. - Francimaria R. S. Nascimento; George D. C. Cavalcanti; Márjory Da Costa-Abreu (Neural Comput. Appl., 2025)

Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques. - Lucas B. V. de Amorim; George D. C. Cavalcanti; Rafael M. O. Cruz (IEEE Trans. Neural Networks Learn. Syst., 2025)

Imbalanced malware classification: an approach based on dynamic classifier selection. - J. V. S. Souza; Caio Barbosa Vieira da Silva; George D. C. Cavalcanti; Rafael M. O. Cruz (CoRR, 2025)

Multi-view autoencoders for Fake News Detection. - Ingryd V. S. T. Pereira; George D. C. Cavalcanti; Rafael M. O. Cruz (CoRR, 2025)

Imbalanced regression pipeline recommendation. - Juscimara Gomes Avelino; George D. C. Cavalcanti; Rafael M. O. Cruz (Mach. Learn., 2025)