Journal papers

Lucas B.V. de Amorim, George D.C. Cavalcanti, Rafael M.O. Cruz. The choice of scaling technique matters for classification performance. Applied Soft Computing, 2023.

Gustavo Z. Felipe, Lucas O. Teixeira, Rodolfo M. Pereira, Jacqueline N. 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 Processing Letters, 2023.

Mariana A. Souza, Robert Sabourin, George D.C. Cavalcanti and Rafael M.O. Cruz, OLP++: An online local classifier for high dimensional data, Information Fusion, 2023.

Yandre M.G. Costa, Sergio A. Silva Jr., Lucas O. Teixeira, Rodolfo M. 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, 2022.

Kecia G. Moura, Ricardo B.C. Prudêncio, George D.C. Cavalcanti, Label noise detection under the noise at random model with ensemble filters, Intelligent Data Analysis, 2022.

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 Systems with Applications, 2022.

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

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

Paulo S.G. de Mattos Neto, George D.C. Cavalcanti, Domingos S. de O. Santos Júnior, Eraylson G. Silva. Hybrid systems using residual modeling for sea surface temperature forecasting, Scientific Reports, 2022.

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 factors, IEEE 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 classification. Knowledge-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.

Lucas O. Teixeira, Rodolfo M. Pereira, Diego Bertolini, Luiz S. Oliveira, Loris Nanni, George D. C. Cavalcanti and Yandre M. G. Costa. Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images. Sensors, 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 Python. Journal 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 Selection. Pattern 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 Selection. Pattern 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, 2019.

Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti. Data-driven Feature Selection Methods for Text Classification: an Empirical Evaluation. Journal 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 Selection, Neural 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 networks. Computer 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 filters. PlosOne, 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 segmentation. Expert 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 device. Integrated 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 adjustment. Engineering 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 indices. Physica 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 analysis. Expert 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 Classification. IEEE 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 recognition. Expert 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 Summarization. Expert 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 detection. Electronics Letters, v. 49, pp. 260-261, 2013.

George D. C. Cavalcanti, Tsang Ing Ren and Cesar L. Pereira. ATISA: Adaptive Threshold-based Instance Selection Algorithm. Expert 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 extraction. Expert 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 categorization. Expert 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 window. Physica 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 information. Pattern Recognition Letters, pp. 1403-1411, 2010.

Angélica A. Mascaro, George D. C. Cavalcanti and Carlos A. B. Mello. Detecção de Inclinação em Imagens de Documentos. Revista 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 Fields. Neural 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 approaches. Electronics Letters, v. 40, n.21, pp. 1358, 2004.