Publications

Journal papers

Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Jonysberg P. Quintino and Helder S. Pinho, Grave artifacts in Image Inpainting: Investigating the causes and untangling the factorsIEEE Access, 2021.

Rogério 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 classificationKnowledge-Based Systems, 2021.

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, 2021.

Hector N.B. Pinheiro, Tsang Ing Ren, André G. Adami, George D.C. Cavalcanti. Variational DNN embeddings for text-independent speaker verification. Pattern Recognition Letters, 2021.

Thiago J.M. Moura, George D.C. Cavalcanti, Luiz S.Oliveira. MINE: A Framework for Dynamic Regressor Selection. Information Sciences, 543:157-179, 2021.

Edson L. Araújo, George D.C. Cavalcanti, Tsang Ing Ren. Perturbation-based classifier. Soft Computing, 24: 16565-16576, 2020.

Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti. DESlib: A Dynamic ensemble selection library in PythonJournal of Machine Learning Research, 21(8):1−5, 2020.

George D. C. Cavalcanti and Rodolfo J. O. Soares. Ranking-based Instance Selection for Pattern Classification. Expert Systems with Applications, 150:113269 , 2020.

Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Paulo R. A. Firmino, Eraylson G. Silva, Sérgio, R. P. Vila Nova Filho. A temporal-window framework for modeling and forecasting time series. Knowledge-Based Systems, 193:105476, 2020.

Yandre M. G. Costa, Diego Bertolini, Alceu S. Britto Jr., George D. C. Cavalcanti, Luiz E. S. Oliveira. The dissimilarity approach: a review. Artificial Intelligence Review, 53, 2783–2808, 2020.

Mariana A. Souza, George D.C. Cavalcanti, Rafael M.O. Cruz, Robert Sabourin. Online Local Pool Generation for Dynamic Classifier SelectionPattern Recognition, pp.132-148, 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 SelectionPattern Recognition, pp. 149-160, 2019.

Rafael M.O. Cruz, Mariana A. Souza, Robert Sabourin, George D.C. Cavalcanti. On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. International Journal of Pattern Recognition and Artificial Intelligence, 2019.

Roberto H.W. Pinheiro, George D.C. Cavalcanti, Tsang Ing Ren . Combining binary classifiers in different dichotomy spaces for text categorization. Applied Soft Computing, pp. 564-574, 2019.

Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti. Data-driven Feature Selection Methods for Text Classification: an Empirical EvaluationJournal of Universal Computer Science, vol. 25, no. 4, 334-360, 2019.

Rafael M.O. Cruz, Robert Sabourin, George D.C. Cavalcanti. Dynamic classifier selection: recent advances and perspectives. Information Fusion, pp. 195-216, 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, pp. 179-192, 2018.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Prototype Selection for Dynamic Classifier and Ensemble SelectionNeural Computing and Applications, pp. 447-457, 2018.

Rafael Ferreira, George D.C. Cavalcanti, Fred Freitas, Rafael D. Lins, Steven Simske, Marcelo Riss. Combining Sentence Similarities Measures to Identify Paraphrases. Computer Speech and Language, pp. 59-73, 2018.

Tiago B.A. Carvalho, Maria A.A. Sibaldo, Tsang Ing Ren, George D.C. Cavalcanti, Jan Sijbers, Ing Jyh Tsang. IntensityPatches and RegionPatches for Image Recognition. Applied Soft Computing, pp. 176-186, 2018.

Dayvid V.R. Oliveira, George D.C. Cavalcanti, Robert Sabourin. Online Pruning of Base Classifiers for Dynamic Ensemble Selection. Pattern Recognition, v. 72, pp. 44-58, 2017.

Paulo SG de Mattos Neto, George D.C. Cavalcanti, Francisco Madeiro. Nonlinear Combination Method of Forecasters applied to PM Time Series. Pattern Recognition Letters, v. 95, p. 65–72, 2017.

Luis F.A Pereira, Eline Janssens, George D.C. Cavalcanti, Tsang Ing Ren, Mattias Van Dael, Pieter Verboven, Bart Nicolai, Jan Sijbers. Inline discrete tomography system: Application to agricultural product inspection. Computers and Electronics in Agriculture, v. 138, p. 117–126, 2017.

Roberto H.W. Pinheiro, George D.C. Cavalcanti, Tsang Ing Ren. Combining dissimilarity spaces for text categorization. Information Sciences, v. 406-407, p. 87-101, 2017.

Rafael M.O. Cruz, Robert Sabourin, George D.C. Cavalcanti. META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection. Information Fusion, v.38, p. 84-103, 2017.

Dennis C. Furlaneto, Luiz S. Oliveira, David Menotti, George D.C. Cavalcanti. Bias effect on predicting market trends with EMD. Expert Systems with Applications, pp. 19-26, 2017.

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, pp. 114-124, 2017.

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, pp. 351-362, 2016.

Elias R. Silva Jr, George D. C. Cavalcanti, Tsang Ing Ren. Class-wise feature extraction technique for multimodal data, Neurocomputing, pp. 1001-1010, 2016.

George D. C. Cavalcanti, Luiz S. Oliveira, Thiago J. M. Moura and Guilherme V. Carvalho. Combining Diversity Measures for Ensemble Pruning. Pattern Recognition Letters, pp. 38-45, 2016.

Robson D.A. Timoteo, Lizandro N. Silva, Daniel C. Cunha and George D.C. Cavalcanti. An approach using support vector regression for mobile location in cellular networksComputer Networks, pp. 51-61, 2016.

Wendeson S. Oliveira, Joyce V. Teixeira, Tsang Ing Ren, George D. C. Cavalcanti and Jan Sijbers. Unsupervised retinal vessel segmentation using combined filtersPlosOne, 2016.

Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti and Tsang Ing Ren. META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. Pattern Recognition, v. 48, 1925-1935, 2015.

Paulo S. G. Mattos Neto, George D. C. Cavalcanti, Francisco Madeiro Bernardino Júnior and Tiago A. E. Ferreira. An approach to improve the performance of PM forecasters. Plos One, 2015.

Roberto H. W. Pinheiro, George D. C. Cavalcanti and Tsang Ing Ren. Data-driven global-ranking local feature selection methods for text categorization. Expert Systems with Applications, v. 42, 1941-1949, 2015.

Bruno J. T. Fernandes, George D. C. Cavalcanti and Tsang Ing Ren. Constructive Autoassociative Neural Network for Facial Recognition. Plos One, 2014.

Nara M. Portela. George D. C. Cavalcanti and Tsang Ing Ren. Semi-supervised clustering for MR brain image segmentationExpert Systems with Applications, v. 41, pp. 1492-1497, 2014.

Euclides N. Arcoverde Neto, Rafael M. Duarte, Rafael M. Barreto, Joao Paulo Magalhaes, Carlos A. C. M. Bastos, Tsang Ing Ren and George D. C. Cavalcanti. Enhanced real-time head pose estimation system for mobile deviceIntegrated Computer-Aided Engineering, v. 21, pp. 281-293, 2014.

Paulo S. G. Mattos Neto, Francisco Madeiro Bernardino Júnior, Tiago A. E. Ferreira and George D. C. Cavalcanti. Hybrid intelligent system for air quality forecasting using phase adjustmentEngineering Applications of Artificial Intelligence, v. 32, pp. 185-191, 2014.

Paulo Mattos Neto, George D. C. Cavalcanti, Francisco Madeiro Bernardino Júnior and Tiago A. E. Ferreira. An ideal gas approach to classify countries using financial indicesPhysica A, v. 392, pp. 177-183, 2013.

Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren and Robert Sabourin. Feature representation selection based on Classifier Projection Space and Oracle analysisExpert Systems with Applications, v. 40, pp. 3813-3827, 2013.

Bruno J. T. Fernandes, George D. C. Cavalcanti and Tsang Ing Ren. Lateral Inhibition Pyramidal Neural Network for Image ClassificationIEEE Transactions on Cybernetics, v. 43, p. 2082-2092, 2013.

George D. C. Cavalcanti, Tsang Ing Ren and José F. Pereira. Weighted Modular Image Principal Component Analysis for face recognitionExpert Systems with Applications, v. 40, pp. 4971-4977, 2013.

Rafael Ferreira, Luciano S. Cabral, Rafael D. Lins, Gabriel F. P. Silva, Fred Freitas, George D. C. Cavalcanti, Rinaldo Lima, Steven J. Simske and Luciano Favaro. Assessing Sentence Scoring Techniques for Extractive Text SummarizationExpert Systems with Applications, v. 40, pp. 5755-5764, 2013.

Luis F. A. Pereira, George D. C. Cavalcanti, Tsang Ing Ren and Hector N. B. Pinheiro. Spatial surface coarseness analysis: technique for fingerprint spoof detectionElectronics Letters, v. 49, pp. 260-261, 2013.

George D. C. Cavalcanti, Tsang Ing Ren and Cesar L. Pereira. ATISA: Adaptive Threshold-based Instance Selection AlgorithmExpert Systems with Applications, v. 40, pp. 6894-6900, 2013.

Bruno J. T. Fernandes, George D. C. Cavalcanti and Tsang Ing Ren. AutoAssociative Pyramidal Neural Network for one class pattern classification with implicit feature extractionExpert Systems with Applications, v. 40, pp. 7258-7266, 2013.

Roberto H. W. Pinheiro, George D. C. Cavalcanti, Renato F. Corrêa and Tsang Ing Ren. A global-ranking local feature selection method for text categorizationExpert Systems with Applications, v. 39, pp. 12851-12857, 2012.

Paulo Mattos Neto, David A. Silva, Tiago A. E. Ferreira and George D. C. Cavalcanti. Market volatility modeling for short time windowPhysica A, v. 390, pp. 3444-3453, 2011.

Angélica A. Mascaro, George D. C. Cavalcanti and Carlos A. B. Mello. Fast and robust skew estimation of scanned documents through background area informationPattern Recognition Letters, pp. 1403-1411, 2010.

Angélica A. Mascaro, George D. C. Cavalcanti and Carlos A. B. Mello. Detecção de Inclinação em Imagens de DocumentosRevista de Informática Teórica e Aplicada, v. 17, pp. 93-114, 2010.

Bruno J. T. Fernandes, George D. C. Cavalcanti and Tsang Ing Ren. Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory FieldsNeural Network World, v. 19, pp. 21-36, 2009.

Jeane C. B. Melo, George D. C. Cavalcanti and Katia S. Guimarães. Protein secondary structure prediction: efficient neural network and feature extraction approachesElectronics Letters, v. 40, n.21, pp. 1358, 2004.

Deixe um comentário

Preencha os seus dados abaixo ou clique em um ícone para log in:

Logotipo do WordPress.com

Você está comentando utilizando sua conta WordPress.com. Sair /  Alterar )

Foto do Google

Você está comentando utilizando sua conta Google. Sair /  Alterar )

Imagem do Twitter

Você está comentando utilizando sua conta Twitter. Sair /  Alterar )

Foto do Facebook

Você está comentando utilizando sua conta Facebook. Sair /  Alterar )

Conectando a %s