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George Darmiton da Cunha Cavalcanti
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2020 – today
- 2023
[j54]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)- [j53]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) - [j52]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) - [c129]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 - 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) - [c128]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 - [c127]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) - [c126]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 - [c125]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) - [c124]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: 1-8 - [c123]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 - [c122]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 - [c121]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 - [c120]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) - [c119]Thiago J. M. Moura, George D. C. Cavalcanti, Luiz S. Oliveira:
Evaluating Competence Measures for Dynamic Regressor Selection. IJCNN 2019: 1-8 - [c118]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 - [c117]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 - [c116]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) - [c115]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 - [c114]Leticia V. N. Lapenda, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
An empirical analysis of Combined Dissimilarity Spaces. IJCNN 2018: 1-8 - [c113]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 - [c112]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 - [c111]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) - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c106]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 R. Silva, 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) - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]Hemir da Cunha Santiago, Tsang Ing Ren, George D. C. Cavalcanti:
Facial expression Recognition based on Motion Estimation. IJCNN 2016: 1617-1624 - [c100]Rogerio C. P. Fragoso, Roberto H. W. Pinheiro, George D. C. Cavalcanti:
Class-dependent feature selection algorithm for text categorization. IJCNN 2016: 3508-3515 - [c99]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) - [c98]Roberto H. W. Pinheiro, George D. C. Cavalcanti, Tsang Ing Ren:
Text Categorization Based on Dissimilarity Representation and Prototype Selection. BRACIS 2015: 163-168 - [c97]Marcelo Bassani de Freitas, George D. C. Cavalcanti, Robert Sabourin:
Transducer State Prediction System for Smart Environment Intelligent Control. BRACIS 2015: 270-275 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]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) - [c91]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
Analyzing Dynamic Ensemble Selection Techniques Using Dissimilarity Analysis. ANNPR 2014: 59-70 - [c90]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 - [c89]Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti:
On Meta-learning for Dynamic Ensemble Selection. ICPR 2014: 1230-1235 - [c88]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 - [c87]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 - [c86]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 - [c85]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]