George D. C. Cavalcanti

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 100

Top Venues

Publications

Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti
Fake news detection: Taxonomy and comparative study. Inf. Fusion 103 (2024)
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) (2024)
Leandro Augusto Ensina, Luiz Eduardo Soares de Oliveira, Rafael M. O. Cruz, George D. C. Cavalcanti
Fault distance estimation for transmission lines with dynamic regressor selection. Neural Comput. Appl. 36 (4) (2024)
Mariana de Araujo Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
A dynamic multiple classifier system using graph neural network for high dimensional overlapped data. Inf. Fusion 103 (2024)
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 (2024)
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) (2024)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
Dynamic Ensemble Algorithm Post-Selection Using Hardness-Aware Oracle. IEEE Access 11 (2023)
Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
The choice of scaling technique matters for classification performance. Appl. Soft Comput. 133 (2023)
Walber M. Rodrigues, Felipe N. Walmsley, George D. C. Cavalcanti, Rafael M. O. Cruz
Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation. IEEE Trans. Computers 72 (11) (2023)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
OLP++: An online local classifier for high dimensional data. Inf. Fusion 90 (2023)
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) (2023)
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 (2023)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
A post-selection algorithm for improving dynamic ensemble selection methods. CoRR (2023)
Paulo R. G. Cordeiro, George D. C. Cavalcanti, Rafael M. O. Cruz
A Post-Selection Algorithm for Improving Dynamic Ensemble Selection Methods. SMC (2023)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Local overlap reduction procedure for dynamic ensemble selection. IJCNN (2022)
Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti
Selecting and combining complementary feature representations and classifiers for hate speech detection. CoRR (2022)
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 (2022)
Rafael M. O. Cruz, Woshington V. de Sousa, George D. C. Cavalcanti
Selecting and combining complementary feature representations and classifiers for hate speech detection. Online Soc. Networks Media 28 (2022)
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) (2022)
Felipe N. Walmsley, George D. C. Cavalcanti, Robert Sabourin, Rafael M. O. Cruz
An investigation into the effects of label noise on Dynamic Selection algorithms. Inf. Fusion 80 (2022)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Local overlap reduction procedure for dynamic ensemble selection. CoRR (2022)
Carlos A. Alves Júnior, Luis F. Alves Pereira, George D. C. Cavalcanti, Tsang Ing Ren
Ensemble of Convolutional Neural Networks for Sparse-View Cone-Beam Computed Tomography. IJCNN (2022)
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) (2022)
Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
The choice of scaling technique matters for classification performance. CoRR (2022)
Kecia G. Moura, Ricardo B. C. Prudêncio, George D. C. Cavalcanti
Label noise detection under the Noise at Random model with ensemble filters. CoRR (2021)
Mateus Baltazar de Almeida, Luis F. 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)
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 (2021)
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) (2021)
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 (2021)
Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira
On the Evaluation of Competence Measures for Time Series Forecasting. SMC (2021)
Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira
MINE: A framework for dynamic regressor selection. Inf. Sci. 543 (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 9 (2021)
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 (2021)
Luiz Vieira e Silva Filho, George D. C. Cavalcanti
A two-level sampling strategy for pruning methods applied to credit scoring. SMC (2020)
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) (2020)
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)
Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti
DESlib: A Dynamic ensemble selection library in Python. J. Mach. Learn. Res. 21 (2020)
George D. C. Cavalcanti, Rodolfo J. O. Soares
Ranking-based instance selection for pattern classification. Expert Syst. Appl. 150 (2020)
Edson L. Araújo, George D. C. Cavalcanti, Tsang Ing Ren
Perturbation-based classifier. Soft Comput. 24 (21) (2020)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Multi-label learning for dynamic model type recommendation. CoRR (2020)
Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira
On the Selection of the Competence Measure for Dynamic Regressor Selection. SMC (2020)
Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC (2020)
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 (2020)
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
Multi-label learning for dynamic model type recommendation. IJCNN (2020)
Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti
Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning. Int. J. Pattern Recognit. Artif. Intell. 33 (11) (2019)
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)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
On evaluating the online local pool generation method for imbalance learning. IJCNN (2019)
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)
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) (2019)
Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin
FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection. Pattern Recognit. 85 (2019)
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 (2019)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
Online local pool generation for dynamic classifier selection. Pattern Recognit. 85 (2019)
Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira
Evaluating Competence Measures for Dynamic Regressor Selection. CoRR (2019)
Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira
Evaluating Competence Measures for Dynamic Regressor Selection. IJCNN (2019)
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 (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
On Meta-Learning for Dynamic Ensemble Selection. CoRR (2018)
Rafael M. O. Cruz, Luiz G. Hafemann, Robert Sabourin, George D. C. Cavalcanti
DESlib: A Dynamic ensemble selection library in Python. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR (2018)
Rafael M. O. Cruz, Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection. CoRR (2018)
Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
A study on combining dynamic selection and data preprocessing for imbalance learning. Neurocomputing 286 (2018)
Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. IJCNN (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Dynamic classifier selection: Recent advances and perspectives. Inf. Fusion 41 (2018)
Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Ensemble Generation Method Based on Instance Hardness. CoRR (2018)
Rafael 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 (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.Oracle: Meta-learning and feature selection for ensemble selection. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti, Tsang Ing Ren
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning. CoRR (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Prototype selection for dynamic classifier and ensemble selection. Neural Comput. Appl. 29 (2) (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. CoRR (2018)
Rafael M. O. Cruz, Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning. CoRR (2018)
Rafael M. O. Cruz, George D. C. Cavalcanti, Tsang Ing Ren
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence. CoRR (2018)
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)
Dayvid V. R. Oliveira, George D. C. Cavalcanti, Thyago N. Porpino, Rafael M. O. Cruz, Robert Sabourin
K-Nearest Oracles Borderline Dynamic Classifier Ensemble Selection. CoRR (2018)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
Online local pool generation for dynamic classifier selection: an extended version. CoRR (2018)
Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti
Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance? CoRR (2018)
Felipe N. Walmsley, George D. C. Cavalcanti, Dayvid V. R. Oliveira, Rafael M. O. Cruz, Robert Sabourin
An Ensemble Generation Method Based on Instance Hardness. IJCNN (2018)
Leticia V. N. Lapenda, Roberto H. W. Pinheiro, George D. C. Cavalcanti
An empirical analysis of Combined Dissimilarity Spaces. IJCNN (2018)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.H: a dynamic ensemble selection technique using meta-learning and a dynamic weighting approach. CoRR (2018)
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)
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)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection. Inf. Fusion 38 (2017)
Luis F. 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 (2017)
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 (2017)
Rafael M. O. Cruz, Hiba H. Zakane, Robert Sabourin, George D. C. Cavalcanti
Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance? IPTA (2017)
Mariana A. Souza, George D. C. Cavalcanti, Rafael M. O. Cruz, Robert Sabourin
On the characterization of the Oracle for dynamic classifier selection. IJCNN (2017)
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 (2017)
Roberto H. W. Pinheiro, George D. C. Cavalcanti, Ing Ren Tsang
Combining dissimilarity spaces for text categorization. Inf. Sci. 406 (2017)
Dennis Carnelossi Furlaneto, Luiz S. Oliveira, David Menotti, George D. C. Cavalcanti
Bias effect on predicting market trends with EMD. Expert Syst. Appl. 82 (2017)
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection. IJCNN (2017)
Dayvid V. R. Oliveira, George D. C. Cavalcanti, Robert Sabourin
Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognit. 72 (2017)
Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti
Class-dependent feature selection algorithm for text categorization. IJCNN (2016)
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 (2016)
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)
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)
Elias R. Silva, George D. C. Cavalcanti, Tsang Ing Ren
Class-wise feature extraction technique for multimodal data. Neurocomputing 214 (2016)
Hemir da Cunha Santiago, Tsang Ing Ren, George D. C. Cavalcanti
Facial expression Recognition based on Motion Estimation. IJCNN (2016)
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)
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)
Anandarup Roy, Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti
Meta-learning recommendation of default size of classifier pool for META-DES. Neurocomputing 216 (2016)
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)
George D. C. Cavalcanti, Luiz S. Oliveira, Thiago J. M. Moura, Guilherme V. Carvalho
Combining diversity measures for ensemble pruning. Pattern Recognit. Lett. 74 (2016)

George D. C. Cavalcanti.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

George D. C. Cavalcanti